US StockDetailed Quotes

Provided by Tiger Trade Technology Pte. Ltd.

XPeng Inc.

10.34

-0.2300-2.18%

Post-market: 10.34-0.0018-0.02%19:59 EDT

Volume:5.90M

Turnover:61.33M

Market Cap:9.87B

PE:-21.47

High:10.47

Open:10.46

Low:10.31

Close:10.57

52wk High:28.24

52wk Low:10.31

Shares:954.89M

Float Shares:710.00M

Volume Ratio:0.82

T/O Rate:0.83%

Dividend:- -

Dividend Rate:- -

EPS(TTM):-0.4816

EPS(LYR):-0.1711

ROE:-10.88%

ROA:-2.43%

PB:2.45

PE(LYR):-60.42

Loading ...

Overview Company News Filings

XPeng starts employee testing of Robotaxi platform

Automotive Stocks Experience Broad Decline as First-Half Sales Drop 20%; Analysts See Limited Impact from Vehicle Tax Changes

Xpeng CEO takes company's first robotaxi ride as internal testing begins

Morgan Stanley Reduces Stake in XPeng by Approximately 4.56 Million Shares at HK$52.02 Each

Xpeng plans 2 more Mona models as budget lineup expands to at least 5 vehicles

24H | Chinese ADRs Jump With YINN, Kingsoft Cloud, Alibaba up 9%

Tiger Newspress

XPeng's MONA Series Debuts First SUV Model, Marking Acceleration in Global Expansion

Autoliv and China's Xpeng to Collaborate on Car-safety Technology

Autoliv and Xpeng Partner to Advance Safer Mobility Worldwide

THOMSON REUTERS

Autoliv Partners with Xpeng to Develop Global Vehicle Safety Solutions

Automakers Diversify into High-Tech Sectors to Forge New Revenue Streams

XPeng Shares Climb Over 3% Following Strong Debut Weekend for New MONA L03 Model

LIVE Markets-robotaxis — a $1 Trillion Market Opportunity by 2040

Xpeng Delivers 40,126 Vehicles in June 2026 and 103,295 in Q2 2026

Movement Alert｜XPeng Rises 5.05% Overnight, MONA L03 Pre-Sale Orders Break Company Records Amid Buy Rating Reiteration

UOB Kay Hian Adjusts Price Targets on Chinese Automakers Following Mixed June Sales

XPeng's Global Expansion Hinges on a 140,000 Yuan SUV

Xpeng delivers 1,300 EVs to Car Inc, deepening mobility push

Xpeng's He echoes Nio's Li on China NEV penetration topping 90%

Xpeng to lift GX output 10% this month, eyes top-three segment spot

{"basename":"","ssrTDKData":{"titleTemplate":"%s - Tiger Brokers","title":"Tiger Brokers | Global Stocks, Options & Futures Trading App","description":"Tiger Brokers, one-stop investment in US stocks, SGX stocks, HK stocks, A-shares & other global assets. One of the best stock trading platforms in Singapore.","keywords":"tiger brokers,tiger trade,tiger brokers singapore,broker online,stock trading in singapore,share trading singapore,brokerage firm singapore,trading app,stock broker singapore,stock trading platforms,trading account","social":{"ogDescription":"Tiger Brokers, one-stop investment in US stocks, SGX stocks, HK stocks, A-shares & other global assets. One of the best stock trading platforms in Singapore.","ogImage":"https://c1.itigergrowtha.com/portal5/static/media/og-logo.0a0bd8dc.png","ogUrl":"https://www.atigrnexa.com/stock/XPEV/news?page=13"},"companyName":"Tiger Brokers"},"pageData":{"isMobile":false,"isTiger":false,"isTTM":true,"region":"SGP","license":"TBSG","edition":"fundamental","symbol":"XPEV","isAnalysisPage":false},"__swrFallback__":{"@#url:\"https://hq.skytigris.cn/stock_info/detail/global\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"XPEV\",,,,,undefined,":{"symbol":"XPEV","market":"US","secType":"STK","nameCN":"XPeng Inc.","latestPrice":10.34,"timestamp":1789070400000,"preClose":10.57,"halted":0,"volume":5904803,"hourTrading":{"tag":"盘后","latestPrice":10.3382,"preClose":10.34,"latestTime":"19:59 EDT","volume":156378,"amount":1617478.534022,"timestamp":1789084780128,"change":-0.0018,"changeRate":-0.000174,"amplitude":0.007737},"delay":0,"changeRate":-0.02175969725638604,"floatShares":710000000,"shares":954885706,"eps":-0.48161,"marketStatus":"Closed","change":-0.23,"latestTime":"09-10 16:00:00 EDT","open":10.46,"high":10.47,"low":10.31,"amount":61327644.150983,"amplitude":0.015137,"askPrice":0,"askSize":0,"bidPrice":0,"bidSize":0,"shortable":3,"etf":0,"structuredFlag":true,"ttmEps":-0.48161,"tradingStatus":0,"nextMarketStatus":{"tag":"Pre-Mkt","tradingStatus":1,"beginTime":1789113600000},"marketStatusCode":5,"adr":0,"adrRate":2,"listingDate":1598500800000,"exchange":"NYSE","adjPreClose":10.57,"preHourTrading":{"tag":"盘前","latestPrice":10.53,"preClose":10.57,"latestTime":"09:27 EDT","volume":111111,"amount":1170912.495753,"timestamp":1789046855009,"change":-0.04,"changeRate":-0.003784,"amplitude":0.020445},"postHourTrading":{"tag":"盘后","latestPrice":10.3382,"preClose":10.34,"latestTime":"19:59 EDT","volume":156378,"amount":1617478.534022,"timestamp":1789084780128,"change":-0.0018,"changeRate":-0.000174,"amplitude":0.007737},"volumeRatio":0.824716,"optionData":{"bulkOrders":[{"symbol":"XPEV","call":false,"expireDate":1789704000000,"strike":"17.0","timestamp":1789065540444,"price":7.03,"volume":8590,"amount":6038770,"type":"+"},{"symbol":"XPEV","call":false,"expireDate":1789704000000,"strike":"17.0","timestamp":1789066818169,"price":6.4,"volume":5000,"amount":3200000,"type":"-"}]},"impliedVol":0.5299,"impliedVolPercentile":0.0757},"@#url:\"https://hq.skytigris.cn/stock_info/fundamental/all\",params:#delay:false,,method:\"POST\",data:#items:@#symbol:\"XPEV\",,,,,undefined,":{"symbol":"XPEV","floatShares":710000000,"roa":"-2.43%","roe":"-10.88%","lyrEps":-0.171125,"volumeRatio":0.824716,"shares":954885706,"dividePrice":0,"high":10.47,"amplitude":0.015137,"preClose":10.57,"low":10.31,"week52Low":10.31,"pbRate":"2.45","psRate":"0.88","week52High":28.235,"institutionHeld":0,"latestPrice":10.34,"eps":-0.48161,"divideRate":0,"volume":5904803,"delay":0,"ttmEps":-0.48161,"open":10.46,"prevYearClose":20.28,"prevWeekClose":10.95,"prevMonthClose":11.36,"prevQuarterClose":13.24,"fiveDayClose":11.08,"twentyDayClose":11.75,"sixtyDayClose":14.49},"@#url:\"https://hq.skytigris.cn/fundamental/corporate_actions/details/XPEV\",params:#limit:5,,,undefined,":[{"market":"US","date":"2026-08-24","symbol":"XPEV","fiscalQuarterEnding":"2026/06","expectedEps":null,"name":null,"time":"Pre-MKt","type":"earning","dateTimestamp":1787544000000,"reportTimeType":"pre","actualEps":-0.21},{"market":"US","date":"2026-05-28","symbol":"XPEV","fiscalQuarterEnding":"2026/03","expectedEps":null,"name":null,"time":"Pre-MKt","type":"earning","dateTimestamp":1779940800000,"reportTimeType":"pre","actualEps":-0.27},{"market":"US","date":"2026-03-20","symbol":"XPEV","fiscalQuarterEnding":"2025/12","expectedEps":null,"name":null,"time":"Pre-MKt","type":"earning","dateTimestamp":1773979200000,"reportTimeType":"pre","actualEps":0.06},{"market":"US","date":"2025-11-17","symbol":"XPEV","fiscalQuarterEnding":"2025/09","expectedEps":null,"name":null,"time":"Pre-MKt","type":"earning","dateTimestamp":1763355600000,"reportTimeType":"pre","actualEps":-0.06},{"date":"2025-08-19","symbol":"XPEV","type":"earning","reportTimeType":"pre","market":"US","fiscalQuarterEnding":"2025/06","expectedEps":null,"defaultRemindTime":1755590400000,"name":null,"time":"Pre-MKt","dateTimestamp":1755576000000,"actualEps":null}],"@#url:\"https://hq.skytigris.cn/fundamental/dividend/history\",params:#symbol:\"XPEV\",market:\"US\",,,undefined,":[],"@#url:\"https://hq.skytigris.cn/fundamental/estimate/recommendation\",params:#symbol:\"XPEV\",market:\"US\",delay:false,,,undefined,":{"strongBuy":0.2,"buy":0.56,"hold":0.16,"sell":0.08,"strongSell":0,"meanLabel":"BUY","meanPercent":0.56,"analysts":25,"updateTime":1783742400000},"@#url:\"https://hq.skytigris.cn/value_analysis/stock/XPEV\",params:#withQuantilePoint:true,period:\"5year\",factor:\"peRate\",delay:false,algorithm:1,,,undefined,":{"brief":{"id":"XPEV","date":"2026-09-09","current":-21.469654,"percent":0.492671,"low":-109.337843,"twenty":-41.263451,"median":-21.847599,"eighty":-6.87163,"high":-4.564217,"avg":-25.484908,"sd":21.647725,"marketCap":10459706462},"quantilePoints":[{"date":"2021-09-10","current":-53.432374,"twenty":-73.110579,"median":-62.684236,"eighty":-40.589737,"marketCap":32480567268},{"date":"2021-09-17","current":-54.266107,"twenty":-72.43833,"median":-62.509997,"eighty":-41.3505,"marketCap":32876671747},{"date":"2021-09-24","current":-49.160839,"twenty":-71.701416,"median":-61.946151,"eighty":-41.970341,"marketCap":29783685710},{"date":"2021-10-01","current":-49.178243,"twenty":-71.444626,"median":-61.193814,"eighty":-42.208009,"marketCap":29884818769},{"date":"2021-10-08","current":-52.209085,"twenty":-71.418208,"median":-60.997676,"eighty":-42.398713,"marketCap":31738924840},{"date":"2021-10-15","current":-59.238093,"twenty":-71.368715,"median":-60.786734,"eighty":-42.664549,"marketCap":36062363088},{"date":"2021-10-22","current":-59.257639,"twenty":-71.201879,"median":-60.454049,"eighty":-44.091153,"marketCap":36357334509},{"date":"2021-10-29","current":-64.260219,"twenty":-70.971378,"median":-60.786734,"eighty":-45.03129,"marketCap":39298620958},{"date":"2021-11-05","current":-63.863607,"twenty":-70.677194,"median":-60.997676,"eighty":-45.531488,"marketCap":39096354841},{"date":"2021-11-12","current":-66.60399,"twenty":-70.531999,"median":-61.01208,"eighty":-45.900789,"marketCap":40899894384},{"date":"2021-11-19","current":-64.437943,"twenty":-70.439402,"median":-61.356002,"eighty":-46.269182,"marketCap":39517742585},{"date":"2021-11-26","current":-63.102492,"twenty":-70.3787,"median":-61.946151,"eighty":-46.677763,"marketCap":43076139821},{"date":"2021-12-03","current":-53.945283,"twenty":-70.224604,"median":-62.191187,"eighty":-47.104344,"marketCap":36915181455},{"date":"2021-12-10","current":-57.611082,"twenty":-69.941774,"median":-61.356002,"eighty":-47.408995,"marketCap":39468902912},{"date":"2021-12-17","current":-51.428733,"twenty":-69.805241,"median":-61.01208,"eighty":-47.715631,"marketCap":35195844237},{"date":"2021-12-23","current":-56.752729,"twenty":-69.703619,"median":-60.935161,"eighty":-47.979658,"marketCap":38872913834},{"date":"2021-12-31","current":-61.801441,"twenty":-69.553284,"median":-60.88165,"eighty":-48.109362,"marketCap":42448985752},{"date":"2022-01-07","current":-55.533953,"twenty":-69.475386,"median":-60.786734,"eighty":-48.207405,"marketCap":37995764119},{"date":"2022-01-14","current":-61.018448,"twenty":-69.421731,"median":-60.555023,"eighty":-48.34794,"marketCap":41909201311},{"date":"2022-01-21","current":-51.229611,"twenty":-69.33017,"median":-60.320504,"eighty":-48.572346,"marketCap":35263105390},{"date":"2022-01-28","current":-39.52997,"twenty":-69.279559,"median":-60.188756,"eighty":-48.090128,"marketCap":27115733994},{"date":"2022-02-04","current":-45.800669,"twenty":-68.938608,"median":-60.011697,"eighty":-46.967478,"marketCap":31417141253},{"date":"2022-02-11","current":-45.787079,"twenty":-68.927211,"median":-59.831689,"eighty":-46.479445,"marketCap":31434009516},{"date":"2022-02-18","current":-46.333269,"twenty":-68.817371,"median":-59.598377,"eighty":-46.333269,"marketCap":31958322887},{"date":"2022-02-25","current":-42.777718,"twenty":-68.776821,"median":-59.471998,"eighty":-45.797951,"marketCap":29546055706},{"date":"2022-03-04","current":-36.0704,"twenty":-68.646129,"median":-59.252813,"eighty":-45.446097,"marketCap":24907080360},{"date":"2022-03-11","current":-28.074521,"twenty":-68.488702,"median":-59.108069,"eighty":-44.675308,"marketCap":19323440943},{"date":"2022-03-18","current":-35.376758,"twenty":-68.408553,"median":-59.059595,"eighty":-42.786754,"marketCap":24266058312},{"date":"2022-03-25","current":-33.283218,"twenty":-68.263095,"median":-58.6538,"eighty":-42.411454,"marketCap":22815324204},{"date":"2022-04-01","current":-32.212327,"twenty":-68.206668,"median":-58.41894,"eighty":-42.00323,"marketCap":24620307338},{"date":"2022-04-08","current":-30.038103,"twenty":-68.096935,"median":-58.180639,"eighty":-40.651124,"marketCap":22954552604},{"date":"2022-04-14","current":-29.813045,"twenty":-68.053429,"median":-58.075672,"eighty":-40.099576,"marketCap":22735053388},{"date":"2022-04-22","current":-26.942118,"twenty":-67.913441,"median":-57.716968,"eighty":-39.735819,"marketCap":20152596670},{"date":"2022-04-29","current":-28.469603,"twenty":-67.758812,"median":-57.60696,"eighty":-38.699319,"marketCap":20950351713},{"date":"2022-05-06","current":-25.999617,"twenty":-67.653596,"median":-57.569139,"eighty":-37.835837,"marketCap":18966836090},{"date":"2022-05-13","current":-27.115922,"twenty":-67.417162,"median":-57.057572,"eighty":-37.534121,"marketCap":19426534990},{"date":"2022-05-20","current":-27.263247,"twenty":-67.186374,"median":-56.752729,"eighty":-36.806168,"marketCap":19809617406},{"date":"2022-05-27","current":-22.21092,"twenty":-67.030443,"median":-56.715123,"eighty":-36.351155,"marketCap":19154120827},{"date":"2022-06-03","current":-23.524286,"twenty":-66.939848,"median":-56.66771,"eighty":-36.199533,"marketCap":20405523388},{"date":"2022-06-10","current":-25.514526,"twenty":-66.886057,"median":-56.379107,"eighty":-36.032183,"marketCap":21971904824},{"date":"2022-06-17","current":-27.879881,"twenty":-66.810729,"median":-56.232654,"eighty":-35.741011,"marketCap":23980959276},{"date":"2022-06-24","current":-34.784594,"twenty":-66.692533,"median":-55.959219,"eighty":-35.418445,"marketCap":30042174400},{"date":"2022-07-01","current":-30.007125,"twenty":-66.600034,"median":-55.55389,"eighty":-35.169362,"marketCap":25870800540},{"date":"2022-07-08","current":-31.81879,"twenty":-66.58421,"median":-55.204861,"eighty":-34.988848,"marketCap":27463882579},{"date":"2022-07-15","current":-29.532714,"twenty":-66.572133,"median":-54.798073,"eighty":-34.581762,"marketCap":25250018406},{"date":"2022-07-22","current":-24.89321,"twenty":-66.497035,"median":-54.678544,"eighty":-33.877127,"marketCap":21300963395},{"date":"2022-07-29","current":-24.378069,"twenty":-66.275858,"median":-54.611474,"eighty":-33.37613,"marketCap":20882124227},{"date":"2022-08-05","current":-23.340124,"twenty":-66.215404,"median":-54.470458,"eighty":-33.059264,"marketCap":19941873033},{"date":"2022-08-12","current":-24.351973,"twenty":-66.072346,"median":-53.909057,"eighty":-32.397554,"marketCap":20865028750},{"date":"2022-08-19","current":-21.424888,"twenty":-66.069441,"median":-53.432374,"eighty":-31.959845,"marketCap":18155395766},{"date":"2022-08-26","current":-15.261294,"twenty":-65.94089,"median":-53.222678,"eighty":-31.809776,"marketCap":16175641191},{"date":"2022-09-02","current":-13.557679,"twenty":-65.911295,"median":-53.065577,"eighty":-31.121287,"marketCap":14311851667},{"date":"2022-09-09","current":-13.031383,"twenty":-65.893232,"median":-52.839842,"eighty":-30.62194,"marketCap":13704837647},{"date":"2022-09-16","current":-11.947627,"twenty":-65.854031,"median":-52.633254,"eighty":-30.308819,"marketCap":12448062142},{"date":"2022-09-23","current":-11.470605,"twenty":-65.754564,"median":-52.319777,"eighty":-29.976072,"marketCap":11721355218},{"date":"2022-09-30","current":-9.990718,"twenty":-65.675149,"median":-52.101923,"eighty":-29.628217,"marketCap":10228489895},{"date":"2022-10-07","current":-8.268932,"twenty":-65.618089,"median":-51.428733,"eighty":-29.346718,"marketCap":8465252306},{"date":"2022-10-14","current":-7.08174,"twenty":-65.569348,"median":-51.190347,"eighty":-28.481471,"marketCap":7172949635},{"date":"2022-10-21","current":-6.917674,"twenty":-65.531614,"median":-50.961263,"eighty":-28.046172,"marketCap":6958959491},{"date":"2022-10-28","current":-5.872452,"twenty":-65.450698,"median":-50.455019,"eighty":-27.686744,"marketCap":5897568375},{"date":"2022-11-04","current":-6.651888,"twenty":-65.396212,"median":-49.615217,"eighty":-27.258477,"marketCap":6744969346},{"date":"2022-11-11","current":-7.090988,"twenty":-65.331326,"median":-49.344532,"eighty":-27.066837,"marketCap":7267105298},{"date":"2022-11-18","current":-6.492775,"twenty":-65.296915,"median":-49.25763,"eighty":-26.913532,"marketCap":6642254077},{"date":"2022-11-25","current":-5.957743,"twenty":-65.286668,"median":-49.160839,"eighty":-26.707019,"marketCap":6051641279},{"date":"2022-12-02","current":-8.53089,"twenty":-65.251441,"median":-48.75156,"eighty":-25.777832,"marketCap":9801457075},{"date":"2022-12-09","current":-8.077646,"twenty":-65.153549,"median":-48.226699,"eighty":-25.448709,"marketCap":9364885624},{"date":"2022-12-16","current":-7.621599,"twenty":-65.015581,"median":-48.021085,"eighty":-24.70304,"marketCap":8817031255},{"date":"2022-12-23","current":-7.467249,"twenty":-64.956582,"median":-47.809627,"eighty":-24.446011,"marketCap":8619057740},{"date":"2022-12-30","current":-7.28314,"twenty":-64.949433,"median":-47.309642,"eighty":-24.350049,"marketCap":8516245919},{"date":"2023-01-06","current":-7.343047,"twenty":-64.932244,"median":-46.48462,"eighty":-24.145992,"marketCap":8661896000},{"date":"2023-01-13","current":-7.121002,"twenty":-64.879371,"median":-46.139647,"eighty":-23.655898,"marketCap":8559084178},{"date":"2023-01-20","current":-6.772937,"twenty":-64.789025,"median":-45.816801,"eighty":-23.340124,"marketCap":8053592720},{"date":"2023-01-27","current":-7.703439,"twenty":-64.771694,"median":-45.741819,"eighty":-23.008415,"marketCap":9158819806},{"date":"2023-02-03","current":-7.543099,"twenty":-64.696826,"median":-45.393362,"eighty":-22.581621,"marketCap":8996034421},{"date":"2023-02-10","current":-6.718019,"twenty":-64.696014,"median":-44.959247,"eighty":-21.924183,"marketCap":7959538484},{"date":"2023-02-17","current":-6.952829,"twenty":-64.669575,"median":-44.186079,"eighty":-20.233984,"marketCap":8165167034},{"date":"2023-02-24","current":-6.207388,"twenty":-64.650342,"median":-42.966928,"eighty":-15.342864,"marketCap":7196999275},{"date":"2023-03-03","current":-7.058653,"twenty":-64.590552,"median":-42.521381,"eighty":-14.945713,"marketCap":8242872978},{"date":"2023-03-10","current":-6.016572,"twenty":-64.479377,"median":-42.362633,"eighty":-13.262567,"marketCap":7009012574},{"date":"2023-03-17","current":-5.707317,"twenty":-64.441358,"median":-42.100018,"eighty":-13.071823,"marketCap":7574531926},{"date":"2023-03-24","current":-6.1975,"twenty":-64.361561,"median":-41.764521,"eighty":-12.738349,"marketCap":8247366894},{"date":"2023-03-31","current":-7.159176,"twenty":-64.289296,"median":-40.712511,"eighty":-11.636393,"marketCap":9524765717},{"date":"2023-04-06","current":-6.475897,"twenty":-64.26969,"median":-40.336832,"eighty":-11.437477,"marketCap":8607439045},{"date":"2023-04-14","current":-6.430826,"twenty":-64.247943,"median":-40.069663,"eighty":-10.00058,"marketCap":8556000167},{"date":"2023-04-21","current":-6.039443,"twenty":-64.201834,"median":-39.876248,"eighty":-8.774514,"marketCap":8031179152},{"date":"2023-04-28","current":-6.345654,"twenty":-64.136309,"median":-39.398214,"eighty":-8.487289,"marketCap":8375495515},{"date":"2023-05-05","current":-6.607143,"twenty":-64.078695,"median":-38.698259,"eighty":-8.192018,"marketCap":8737027695},{"date":"2023-05-12","current":-7.035376,"twenty":-64.038598,"median":-38.189605,"eighty":-8.041349,"marketCap":9253502239},{"date":"2023-05-19","current":-6.05445,"twenty":-64.015057,"median":-37.646876,"eighty":-7.908708,"marketCap":7859020971},{"date":"2023-05-26","current":-4.990436,"twenty":-63.975609,"median":-37.583599,"eighty":-7.658441,"marketCap":6894935157},{"date":"2023-06-02","current":-5.012052,"twenty":-63.942372,"median":-37.056811,"eighty":-7.554152,"marketCap":6903913991},{"date":"2023-06-09","current":-5.29783,"twenty":-63.922573,"median":-36.800392,"eighty":-7.500595,"marketCap":7282682339},{"date":"2023-06-16","current":-7.280047,"twenty":-63.853477,"median":-36.441231,"eighty":-7.461251,"marketCap":9977102638},{"date":"2023-06-23","current":-6.676598,"twenty":-63.812956,"median":-36.335119,"eighty":-7.378506,"marketCap":9090440367},{"date":"2023-06-30","current":-7.574672,"twenty":-63.631767,"median":-36.229096,"eighty":-7.34283,"marketCap":10210381400},{"date":"2023-07-07","current":-9.053125,"twenty":-63.58088,"median":-36.147646,"eighty":-7.364322,"marketCap":12204124513},{"date":"2023-07-14","current":-8.864642,"twenty":-63.568715,"median":-36.036499,"eighty":-7.390559,"marketCap":12117815288},{"date":"2023-07-21","current":-9.532125,"twenty":-63.445141,"median":-35.821467,"eighty":-7.431221,"marketCap":12983961688},{"date":"2023-07-28","current":-12.81027,"twenty":-63.345876,"median":-35.652784,"eighty":-7.45704,"marketCap":17455772712},{"date":"2023-08-04","current":-12.366345,"twenty":-63.239482,"median":-35.376758,"eighty":-7.46425,"marketCap":16868733867},{"date":"2023-08-11","current":-10.695786,"twenty":-63.144813,"median":-35.231019,"eighty":-7.467278,"marketCap":14486046790},{"date":"2023-08-18","current":-10.077233,"twenty":-63.110644,"median":-35.080949,"eighty":-7.471916,"marketCap":13510526357},{"date":"2023-08-25","current":-10.301852,"twenty":-63.058639,"median":-34.886721,"eighty":-7.487869,"marketCap":13985337187},{"date":"2023-09-01","current":-11.283736,"twenty":-62.976916,"median":-34.588938,"eighty":-7.508882,"marketCap":15357972134},{"date":"2023-09-08","current":-11.181686,"twenty":-62.925741,"median":-34.570935,"eighty":-7.521626,"marketCap":15073085635},{"date":"2023-09-15","current":-11.66907,"twenty":-62.829709,"median":-33.898063,"eighty":-7.532982,"marketCap":15841415888},{"date":"2023-09-22","current":-10.14707,"twenty":-62.709386,"median":-33.564731,"eighty":-7.541057,"marketCap":13717716537},{"date":"2023-09-29","current":-10.997067,"twenty":-62.68546,"median":-33.369715,"eighty":-7.542833,"marketCap":14879649086},{"date":"2023-10-06","current":-11.444369,"twenty":-62.643252,"median":-33.240764,"eighty":-7.555728,"marketCap":15485297400},{"date":"2023-10-13","current":-10.391813,"twenty":-62.558569,"median":-32.667513,"eighty":-7.584148,"marketCap":14061857806},{"date":"2023-10-20","current":-8.70673,"twenty":-62.429112,"median":-32.397554,"eighty":-7.607657,"marketCap":11758473736},{"date":"2023-10-27","current":-9.315365,"twenty":-62.348227,"median":-32.212327,"eighty":-7.616952,"marketCap":12578029866},{"date":"2023-11-03","current":-10.567187,"twenty":-62.272742,"median":-32.059853,"eighty":-7.63166,"marketCap":14269068966},{"date":"2023-11-10","current":-10.106394,"twenty":-62.205746,"median":-31.86019,"eighty":-7.682707,"marketCap":13708313535},{"date":"2023-11-17","current":-9.202669,"twenty":-61.87939,"median":-31.770196,"eighty":-7.701719,"marketCap":14473634373},{"date":"2023-11-24","current":-10.339396,"twenty":-61.757234,"median":-31.378092,"eighty":-7.734012,"marketCap":16480145608},{"date":"2023-12-01","current":-9.280796,"twenty":-61.711775,"median":-31.078138,"eighty":-7.840879,"marketCap":14812511826},{"date":"2023-12-08","current":-9.423918,"twenty":-61.59136,"median":-30.605818,"eighty":-7.913795,"marketCap":15021158384},{"date":"2023-12-15","current":-9.161152,"twenty":-61.323564,"median":-30.369725,"eighty":-7.95238,"marketCap":14693206325},{"date":"2023-12-22","current":-8.346904,"twenty":-61.124942,"median":-30.115987,"eighty":-8.001756,"marketCap":13313403534},{"date":"2023-12-29","current":-8.364135,"twenty":-61.066911,"median":-30.007125,"eighty":-8.024521,"marketCap":13407358393},{"date":"2024-01-05","current":-8.128976,"twenty":-61.030564,"median":-29.96528,"eighty":-8.031947,"marketCap":12956375069},{"date":"2024-01-12","current":-7.217637,"twenty":-61.013354,"median":-29.658622,"eighty":-7.869707,"marketCap":11509470239},{"date":"2024-01-19","current":-5.859158,"twenty":-60.994796,"median":-29.590883,"eighty":-7.699999,"marketCap":9273344593},{"date":"2024-01-26","current":-5.331242,"twenty":-60.954406,"median":-29.390429,"eighty":-7.588886,"marketCap":8502914748},{"date":"2024-02-02","current":-5.017034,"twenty":-60.926427,"median":-29.082675,"eighty":-7.535319,"marketCap":7957976565},{"date":"2024-02-09","current":-4.970953,"twenty":-60.87386,"median":-28.477021,"eighty":-7.487869,"marketCap":7910999136},{"date":"2024-02-16","current":-5.415686,"twenty":-60.809119,"median":-28.134633,"eighty":-7.457367,"marketCap":8606265093},{"date":"2024-02-23","current":-5.423723,"twenty":-60.714208,"median":-27.932776,"eighty":-7.386541,"marketCap":8587633495},{"date":"2024-03-01","current":-5.593083,"twenty":-60.565102,"median":-27.727604,"eighty":-7.3099,"marketCap":8860107644},{"date":"2024-03-08","current":-5.607129,"twenty":-60.464165,"median":-27.424293,"eighty":-7.281284,"marketCap":8878898964},{"date":"2024-03-15","current":-5.572456,"twenty":-60.337098,"median":-27.251323,"eighty":-7.253588,"marketCap":8822525002},{"date":"2024-03-22","current":-6.023693,"twenty":-60.234074,"median":-27.111388,"eighty":-7.206553,"marketCap":8681590098},{"date":"2024-03-28","current":-5.116745,"twenty":-60.220853,"median":-27.016183,"eighty":-7.180816,"marketCap":7346094622},{"date":"2024-04-05","current":-4.866017,"twenty":-60.174288,"median":-26.921222,"eighty":-7.1365,"marketCap":6979260191},{"date":"2024-04-12","current":-5.427714,"twenty":-60.106258,"median":-26.724705,"eighty":-7.091738,"marketCap":7781458880},{"date":"2024-04-19","current":-4.718764,"twenty":-60.044056,"median":-26.434677,"eighty":-7.043359,"marketCap":6764037030},{"date":"2024-04-26","current":-4.663652,"twenty":-59.94487,"median":-25.848881,"eighty":-6.965754,"marketCap":6679132800},{"date":"2024-05-03","current":-6.18672,"twenty":-59.880965,"median":-25.613582,"eighty":-6.907235,"marketCap":8867775186},{"date":"2024-05-10","current":-5.357026,"twenty":-59.81959,"median":-25.349983,"eighty":-6.866103,"marketCap":7697983566},{"date":"2024-05-17","current":-5.428411,"twenty":-59.753832,"median":-24.793603,"eighty":-6.79607,"marketCap":7801755403},{"date":"2024-05-24","current":-5.882916,"twenty":-59.64998,"median":-24.558053,"eighty":-6.767115,"marketCap":7641380745},{"date":"2024-05-31","current":-6.289554,"twenty":-59.512372,"median":-24.471484,"eighty":-6.734008,"marketCap":8169673735},{"date":"2024-06-07","current":-6.074182,"twenty":-59.478094,"median":-24.365021,"eighty":-6.720852,"marketCap":7886659634},{"date":"2024-06-14","current":-5.359824,"twenty":-59.46834,"median":-24.317084,"eighty":-6.683843,"marketCap":6952713098},{"date":"2024-06-21","current":-5.44665,"twenty":-59.340944,"median":-24.176786,"eighty":-6.648041,"marketCap":7056484935},{"date":"2024-06-28","current":-5.613518,"twenty":-59.257639,"median":-24.090682,"eighty":-6.640995,"marketCap":7264769415},{"date":"2024-07-05","current":-6.074823,"twenty":-59.253778,"median":-23.866394,"eighty":-6.603398,"marketCap":7859932579},{"date":"2024-07-12","current":-6.335225,"twenty":-59.241037,"median":-23.549139,"eighty":-6.510409,"marketCap":8210748359},{"date":"2024-07-15","current":-6.441562,"twenty":-59.238093,"median":-23.536713,"eighty":-6.492775,"marketCap":8352475891},{"date":"2024-08-02","current":-5.55058,"twenty":-59.217023,"median":-23.524286,"eighty":-6.480359,"marketCap":7209207132},{"date":"2024-08-09","current":-5.094907,"twenty":-59.122872,"median":-23.211471,"eighty":-6.449883,"marketCap":6680091012},{"date":"2024-08-16","current":-4.941189,"twenty":-59.081405,"median":-23.008415,"eighty":-6.440193,"marketCap":6478632109},{"date":"2024-08-23","current":-5.929227,"twenty":-59.070668,"median":-22.724906,"eighty":-6.406499,"marketCap":6544933899},{"date":"2024-08-30","current":-6.708833,"twenty":-59.010904,"median":-22.443259,"eighty":-6.392695,"marketCap":7454215599},{"date":"2024-09-06","current":-7.521143,"twenty":-58.81614,"median":-22.148887,"eighty":-6.401802,"marketCap":8363497298},{"date":"2024-09-13","current":-7.36836,"twenty":-58.674377,"median":-21.480925,"eighty":-6.425286,"marketCap":8164591926},{"date":"2024-09-20","current":-7.970168,"twenty":-58.633222,"median":-20.233984,"eighty":-6.425307,"marketCap":8893911623},{"date":"2024-09-27","current":-9.83651,"twenty":-58.592468,"median":-15.496096,"eighty":-6.430826,"marketCap":11065174148},{"date":"2024-10-04","current":-10.483,"twenty":-58.41894,"median":-15.025592,"eighty":-6.432097,"marketCap":11757538974},{"date":"2024-10-11","current":-10.777388,"twenty":-58.29766,"median":-14.896968,"eighty":-6.440134,"marketCap":12004068017},{"date":"2024-10-18","current":-8.750851,"twenty":-58.248594,"median":-14.050164,"eighty":-6.440427,"marketCap":9690487767},{"date":"2024-10-25","current":-8.961511,"twenty":-58.112683,"median":-13.279892,"eighty":-6.441562,"marketCap":9927534924},{"date":"2024-10-31","current":-9.712679,"twenty":-58.10977,"median":-13.121548,"eighty":-6.443982,"marketCap":10761940916},{"date":"2024-11-08","current":-12.220292,"twenty":-58.055651,"median":-13.081933,"eighty":-6.446868,"marketCap":13483242275},{"date":"2024-11-15","current":-10.984323,"twenty":-57.802379,"median":-13.005325,"eighty":-6.457216,"marketCap":11975622359},{"date":"2024-11-22","current":-14.523645,"twenty":-57.722054,"median":-13.031383,"eighty":-6.464647,"marketCap":11653238225},{"date":"2024-11-29","current":-14.250846,"twenty":-57.69135,"median":-13.090955,"eighty":-6.471895,"marketCap":11425672955},{"date":"2024-12-06","current":-14.861463,"twenty":-57.636358,"median":-13.192928,"eighty":-6.476712,"marketCap":11890285382},{"date":"2024-12-13","current":-15.198172,"twenty":-57.606135,"median":-13.304771,"eighty":-6.486567,"marketCap":12146296311},{"date":"2024-12-20","current":-15.140118,"twenty":-57.596849,"median":-13.657583,"eighty":-6.506,"marketCap":12051477449},{"date":"2024-12-27","current":-15.798963,"twenty":-57.58337,"median":-14.049152,"eighty":-6.519969,"marketCap":12572981194},{"date":"2025-01-03","current":-13.76399,"twenty":-57.487145,"median":-14.067956,"eighty":-6.53645,"marketCap":10951578641},{"date":"2025-01-10","current":-14.531892,"twenty":-57.159171,"median":-14.070415,"eighty":-6.571467,"marketCap":11511009931},{"date":"2025-01-17","current":-16.613813,"twenty":-57.117211,"median":-14.144751,"eighty":-6.588419,"marketCap":13160139488},{"date":"2025-01-24","current":-16.953952,"twenty":-57.021789,"median":-14.306519,"eighty":-6.603398,"marketCap":13511203051},{"date":"2025-01-31","current":-18.443825,"twenty":-56.860834,"median":-14.579362,"eighty":-6.609893,"marketCap":14773134235},{"date":"2025-02-07","current":-20.360699,"twenty":-56.767495,"median":-14.73507,"eighty":-6.620128,"marketCap":16224829506},{"date":"2025-02-14","current":-19.003399,"twenty":-56.738014,"median":-14.806301,"eighty":-6.637299,"marketCap":15133686002},{"date":"2025-02-21","current":-20.979982,"twenty":-56.728061,"median":-14.842247,"eighty":-6.641761,"marketCap":16794121770},{"date":"2025-02-28","current":-26.473357,"twenty":-56.713372,"median":-14.938697,"eighty":-6.648041,"marketCap":21120742972},{"date":"2025-03-07","current":-26.317834,"twenty":-56.687956,"median":-15.017302,"eighty":-6.657836,"marketCap":21092278358},{"date":"2025-03-14","current":-30.002046,"twenty":-56.666116,"median":-15.053728,"eighty":-6.67068,"marketCap":24052598128},{"date":"2025-03-21","current":-26.211278,"twenty":-56.62891,"median":-15.097278,"eighty":-6.682032,"marketCap":20940467088},{"date":"2025-03-28","current":-24.081859,"twenty":-56.470807,"median":-15.145893,"eighty":-6.699561,"marketCap":19191061429},{"date":"2025-04-04","current":-25.232027,"twenty":-56.349788,"median":-15.229733,"eighty":-6.714345,"marketCap":20065109771},{"date":"2025-04-11","current":-21.571948,"twenty":-56.299486,"median":-15.363256,"eighty":-6.718074,"marketCap":17077835251},{"date":"2025-04-17","current":-22.414522,"twenty":-56.24192,"median":-15.465345,"eighty":-6.719207,"marketCap":17781096135},{"date":"2025-04-25","current":-24.890246,"twenty":-56.127772,"median":-15.608055,"eighty":-6.723594,"marketCap":19772949851},{"date":"2025-05-02","current":-22.288055,"twenty":-55.975363,"median":-15.798963,"eighty":-6.728984,"marketCap":17748123736},{"date":"2025-05-09","current":-23.285006,"twenty":-55.809223,"median":-16.757969,"eighty":-6.732132,"marketCap":18632202744},{"date":"2025-05-16","current":-24.400637,"twenty":-55.644741,"median":-17.299218,"eighty":-6.733989,"marketCap":19601837785},{"date":"2025-05-23","current":-27.607046,"twenty":-55.545915,"median":-17.680833,"eighty":-6.736754,"marketCap":19487763074},{"date":"2025-05-30","current":-26.993614,"twenty":-55.468135,"median":-17.887199,"eighty":-6.741579,"marketCap":19107514038},{"date":"2025-06-06","current":-26.785036,"twenty":-55.197404,"median":-18.443825,"eighty":-6.748659,"marketCap":18993439328},{"date":"2025-06-13","current":-25.781027,"twenty":-55.104794,"median":-18.794302,"eighty":-6.767115,"marketCap":18280472386},{"date":"2025-06-20","current":-25.000249,"twenty":-54.853673,"median":-19.423224,"eighty":-6.772937,"marketCap":17691086381},{"date":"2025-06-27","current":-24.079823,"twenty":-54.742473,"median":-19.810129,"eighty":-6.773111,"marketCap":17087543318},{"date":"2025-07-03","current":-25.286461,"twenty":-54.705093,"median":-19.922096,"eighty":-6.780997,"marketCap":17944300364},{"date":"2025-07-11","current":-23.408689,"twenty":-54.681985,"median":-20.219229,"eighty":-6.783654,"marketCap":16595086493},{"date":"2025-07-18","current":-24.483994,"twenty":-54.669269,"median":-20.798599,"eighty":-6.832803,"marketCap":17347244745},{"date":"2025-07-25","current":-25.618762,"twenty":-54.649705,"median":-21.129238,"eighty":-6.845635,"marketCap":18213654883},{"date":"2025-08-01","current":-24.538387,"twenty":-54.591123,"median":-21.361309,"eighty":-6.850525,"marketCap":17337723755},{"date":"2025-08-08","current":-26.371919,"twenty":-54.573663,"median":-21.512867,"eighty":-6.855406,"marketCap":18680183419},{"date":"2025-08-15","current":-26.035544,"twenty":-54.490904,"median":-21.787756,"eighty":-6.861937,"marketCap":18451679647},{"date":"2025-08-22","current":-36.344438,"twenty":-54.306977,"median":-21.885891,"eighty":-6.874393,"marketCap":21660253455},{"date":"2025-08-29","current":-34.755844,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":20860490251},{"date":"2025-09-05","current":-31.526048,"twenty":-54.306977,"median":-21.885891,"eighty":-6.874393,"marketCap":18889645211},{"date":"2025-09-12","current":-32.593865,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":19594198510},{"date":"2025-09-19","current":-33.691343,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":20270188838},{"date":"2025-09-26","current":-35.315976,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":21184203929},{"date":"2025-10-03","current":-37.713665,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":22669478451},{"date":"2025-10-10","current":-36.392269,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":21850029330},{"date":"2025-10-17","current":-33.932181,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":20381280086},{"date":"2025-10-24","current":-34.078052,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":20476653414},{"date":"2025-10-31","current":-36.364252,"twenty":-54.266107,"median":-21.924183,"eighty":-6.877157,"marketCap":21888178661},{"date":"2025-11-07","current":-37.905329,"twenty":-53.87283,"median":-21.924183,"eighty":-6.877157,"marketCap":22784687939},{"date":"2025-11-14","current":-41.712073,"twenty":-53.203898,"median":-21.924183,"eighty":-6.877157,"marketCap":25159483794},{"date":"2025-11-21","current":-47.756156,"twenty":-52.839842,"median":-21.924183,"eighty":-6.877157,"marketCap":19160501494},{"date":"2025-11-28","current":-50.047862,"twenty":-52.406913,"median":-21.924183,"eighty":-6.877157,"marketCap":20161921433},{"date":"2025-12-05","current":-46.102006,"twenty":-51.930305,"median":-21.924183,"eighty":-6.877157,"marketCap":18597798862},{"date":"2025-12-12","current":-45.282491,"twenty":-51.157493,"median":-21.924183,"eighty":-6.877157,"marketCap":18302141547},{"date":"2025-12-19","current":-43.782067,"twenty":-50.73254,"median":-21.924183,"eighty":-6.877157,"marketCap":17739438915},{"date":"2025-12-26","current":-45.875578,"twenty":-50.092094,"median":-21.924183,"eighty":-6.877157,"marketCap":18664560191},{"date":"2026-01-02","current":-47.41519,"twenty":-49.575812,"median":-21.924183,"eighty":-6.877157,"marketCap":19341710817},{"date":"2026-01-09","current":-47.958399,"twenty":-49.178243,"median":-21.924183,"eighty":-6.877157,"marketCap":19589910521},{"date":"2026-01-16","current":-48.676792,"twenty":-48.930774,"median":-21.924183,"eighty":-6.877157,"marketCap":19933593161},{"date":"2026-01-23","current":-46.506112,"twenty":-48.457925,"median":-21.924183,"eighty":-6.877157,"marketCap":19026652859},{"date":"2026-01-30","current":-43.226211,"twenty":-48.098442,"median":-21.924183,"eighty":-6.877157,"marketCap":17747389697},{"date":"2026-02-06","current":-39.19243,"twenty":-47.950115,"median":-21.924183,"eighty":-6.877157,"marketCap":16114897153},{"date":"2026-02-13","current":-40.879087,"twenty":-47.558024,"median":-21.924183,"eighty":-6.877157,"marketCap":16897793289},{"date":"2026-02-20","current":-41.040303,"twenty":-47.276087,"median":-21.924183,"eighty":-6.877157,"marketCap":16945527169},{"date":"2026-02-27","current":-40.662826,"twenty":-46.785234,"median":-21.924183,"eighty":-6.877157,"marketCap":16955073945},{"date":"2026-03-06","current":-37.683955,"twenty":-46.48462,"median":-21.924183,"eighty":-6.877157,"marketCap":15599431771},{"date":"2026-03-13","current":-45.929559,"twenty":-46.333269,"median":-21.924183,"eighty":-6.877157,"marketCap":19074458188},{"date":"2026-03-20","current":-44.221533,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":18282075791},{"date":"2026-03-27","current":-102.091163,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":16831194386},{"date":"2026-04-02","current":-101.169218,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":16735616905},{"date":"2026-04-10","current":-99.135908,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":16530533447},{"date":"2026-04-17","current":-104.467067,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":17449359725},{"date":"2026-04-24","current":-91.099192,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":15202455870},{"date":"2026-05-01","current":-93.385525,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":15584907590},{"date":"2026-05-08","current":-88.745483,"twenty":-45.929559,"median":-21.924183,"eighty":-6.877157,"marketCap":14867810615},{"date":"2026-05-15","current":-91.778051,"twenty":-46.333269,"median":-21.924183,"eighty":-6.877157,"marketCap":15412804316},{"date":"2026-05-22","current":-89.219098,"twenty":-46.48462,"median":-21.924183,"eighty":-6.877157,"marketCap":14944300959},{"date":"2026-05-29","current":-47.16157,"twenty":-46.720125,"median":-21.885891,"eighty":-6.874393,"marketCap":15718765692},{"date":"2026-06-05","current":-48.154704,"twenty":-46.722717,"median":-21.924183,"eighty":-6.877157,"marketCap":16072533533},{"date":"2026-06-12","current":-41.459499,"twenty":-46.462624,"median":-21.924183,"eighty":-6.877157,"marketCap":13825629678},{"date":"2026-06-18","current":-38.445682,"twenty":-46.303445,"median":-21.924183,"eighty":-6.877157,"marketCap":12850377792},{"date":"2026-06-26","current":-35.055705,"twenty":-45.815651,"median":-21.885891,"eighty":-6.874393,"marketCap":11655216167},{"date":"2026-07-02","current":-39.090978,"twenty":-45.603735,"median":-21.885891,"eighty":-6.874393,"marketCap":13003358480},{"date":"2026-07-10","current":-37.325919,"twenty":-44.897149,"median":-21.885891,"eighty":-6.874393,"marketCap":12410558314},{"date":"2026-07-17","current":-40.280068,"twenty":-44.405961,"median":-21.885891,"eighty":-6.874393,"marketCap":13435890095},{"date":"2026-07-24","current":-36.606728,"twenty":-44.028427,"median":-21.885891,"eighty":-6.874393,"marketCap":12210965642},{"date":"2026-07-31","current":-37.178508,"twenty":-43.375904,"median":-21.847599,"eighty":-6.87163,"marketCap":12421499532},{"date":"2026-08-07","current":-33.397547,"twenty":-43.139033,"median":-21.847599,"eighty":-6.87163,"marketCap":11177435634},{"date":"2026-08-14","current":-33.649558,"twenty":-42.591505,"median":-21.847599,"eighty":-6.87163,"marketCap":11273132857},{"date":"2026-08-21","current":-34.18396,"twenty":-42.148554,"median":-21.847599,"eighty":-6.87163,"marketCap":11483666748},{"date":"2026-08-28","current":-23.366043,"twenty":-41.659497,"median":-21.847599,"eighty":-6.87163,"marketCap":10842495354},{"date":"2026-09-04","current":-22.968735,"twenty":-41.36412,"median":-21.847599,"eighty":-6.87163,"marketCap":10660670631},{"date":"2026-09-09","current":-22.504561,"twenty":-41.263451,"median":-21.847599,"eighty":-6.87163,"marketCap":10459706462}],"updateTime":1789080661690},"$inf$@#url:\"https://stock-news.skytigris.cn/v2/news/list\",params:#symbols:\"XPEV\",pageSize:20,pageCount:13,lang_content:\"en\",edition:\"fundamental\",,,undefined,":[{"items":[{"id":"2650918719","title":"XPeng starts employee testing of Robotaxi platform","url":"https://stock-news.laohu8.com/highlight/detail?id=2650918719","media":"TIPRANKS","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2650918719?lang=en_us&edition=fundamental","pubTime":"2026-07-10 19:55","pubTimestamp":1783684509,"startTime":"0","endTime":"0","summary":"XPENG (XPEV) has officially started employee testing of its Robotaxi platform. “Robotaxi represents an important step in XPENG’s expansion from sma...","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":{"source":"tipranks_highlight","url":"https://www.tipranks.com/news/the-fly/xpeng-starts-employee-testing-of-robotaxi-platform-thefly-news?utm_source=itigerup.com&utm_medium=referral","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://www.tipranks.com/news/the-fly/xpeng-starts-employee-testing-of-robotaxi-platform-thefly-news?utm_source=itigerup.com&utm_medium=referral","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"tipranks_highlight","symbols":["XPEG","BK4099","BK4505","XPEV","BK4555","EVS.SI","BK4551","09868","BK4526"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1198709439","title":"Automotive Stocks Experience Broad Decline as First-Half Sales Drop 20%; Analysts See Limited Impact from Vehicle Tax Changes","url":"https://stock-news.laohu8.com/highlight/detail?id=1198709439","media":"Stock News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1198709439?lang=en_us&edition=fundamental","pubTime":"2026-07-09 11:34","pubTimestamp":1783568047,"startTime":"0","endTime":"0","summary":"Automotive stocks in Hong Kong are trading lower across the board.At the time of writing, BAIC MOTOR (HKEX: 01958) shares are down 6.98% to HK$0.80. GWMOTOR (HKEX: 02333) has fallen 3.2% to HK$8.48....","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["82333","02333","09868","LU1794554557.SGD","BK1119","BK1588","BK1587","IDRV","601633","02015","LU0593848301.USD","BK1575","BK1610","01958","BK1539","LU1064130708.USD","LU2148510915.USD","XPEV","LU1064131003.USD","LU1720050803.USD","LI","GWLLY"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2650948987","title":"Xpeng CEO takes company's first robotaxi ride as internal testing begins","url":"https://stock-news.laohu8.com/highlight/detail?id=2650948987","media":"CnEVPost","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2650948987?lang=en_us&edition=fundamental","pubTime":"2026-07-09 11:08","pubTimestamp":1783566487,"startTime":"0","endTime":"0","summary":"Xpeng has completed the first order of its robotaxi closed beta, with chairman and CEO He Xiaopeng becoming the first user.","market":"us","thumbnail":"data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E","type":0,"news_type":0,"thumbnails":["data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E"],"rights":{"source":"cnevpost_highlight","url":"https://cnevpost.com/2026/07/09/xpeng-ceo-first-robotaxi-ride-internal-testing-begins/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://cnevpost.com/2026/07/09/xpeng-ceo-first-robotaxi-ride-internal-testing-begins/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":"cnevpost_highlight","symbols":["BK4099","BK4526","XPEG","EVS.SI","09868","BK4505","BK4555","XPEV","BK4551"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1186426691","title":"Morgan Stanley Reduces Stake in XPeng by Approximately 4.56 Million Shares at HK$52.02 Each","url":"https://stock-news.laohu8.com/highlight/detail?id=1186426691","media":"Deep News","labels":["shareholding"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1186426691?lang=en_us&edition=fundamental","pubTime":"2026-07-09 08:32","pubTimestamp":1783557154,"startTime":"0","endTime":"0","summary":"Recent data from the Hong Kong Stock Exchange reveals that on July 2nd, Morgan Stanley sold off approximately 4.56 million shares of XPENG-W (09868).The transaction was executed at an average price...","market":"other","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"shareholding","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0593848301.USD","BK1588","BK1539","BK1119","BK1587","XPEV","BK1575","09868","BK1610"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649655669","title":"Xpeng plans 2 more Mona models as budget lineup expands to at least 5 vehicles","url":"https://stock-news.laohu8.com/highlight/detail?id=2649655669","media":"CnEVPost","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649655669?lang=en_us&edition=fundamental","pubTime":"2026-07-08 14:52","pubTimestamp":1783493538,"startTime":"0","endTime":"0","summary":"Xpeng is planning an A-segment SUV and a station wagon for the Mona lineup, codenamed D11 and D11T respectively.","market":"nz","thumbnail":"data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E","type":0,"news_type":0,"thumbnails":["data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E"],"rights":{"source":"cnevpost_highlight","url":"https://cnevpost.com/2026/07/08/xpeng-plans-2-more-mona-models/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://cnevpost.com/2026/07/08/xpeng-plans-2-more-mona-models/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"cnevpost_highlight","symbols":["BK4555","BK4099","XPEG","BK4505","09868","BK4551","XPEV","EVS.SI","BK4526"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1149150358","title":"24H | Chinese ADRs Jump With YINN, Kingsoft Cloud, Alibaba up 9%","url":"https://stock-news.laohu8.com/highlight/detail?id=1149150358","media":"Tiger Newspress","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1149150358?lang=en_us&edition=fundamental","pubTime":"2026-07-08 11:41","pubTimestamp":1783482111,"startTime":"0","endTime":"0","summary":"Chinese ADRs jumped in overnight trading. $Direxion Daily FTSE China Bull 3X Shares(YINN)$, $Kingsoft Cloud(KC)$, and $Alibaba(BABA)$ rose 9%; $Baidu(BIDU)$ rose 6%; $NetEase(NTES)$ and $JD.com(JD)$...","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":true,"source_rank":0,"column":"","sentiment":"1","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BIDU","KJD","BABX","BABU","XPEV","KBAB","LI","BABA","BILI","KBDU","PDD","KC","NTES","BIDG","XPEG","YINN","BABW","BABO","BBYY","JD","PDDL","KPDD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1118431645","title":"XPeng's MONA Series Debuts First SUV Model, Marking Acceleration in Global Expansion","url":"https://stock-news.laohu8.com/highlight/detail?id=1118431645","media":"Deep News","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1118431645?lang=en_us&edition=fundamental","pubTime":"2026-07-07 21:44","pubTimestamp":1783431845,"startTime":"0","endTime":"0","summary":"XPeng Inc. recently unveiled and began pre-sales for the first SUV in its MONA series, the MONA L03, in Beijing. Following the pre-sale event, XPeng Inc. Chairman and CEO He Xiaopeng, MONA series...","market":"sg","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["XPEG","BK4099","BK4505","XPEV","BK4555","EVS.SI","BK4551","09868","BK4526"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649980179","title":"Autoliv and China's Xpeng to Collaborate on Car-safety Technology","url":"https://stock-news.laohu8.com/highlight/detail?id=2649980179","media":"Dow Jones","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649980179?lang=en_us&edition=fundamental","pubTime":"2026-07-07 20:54","pubTimestamp":1783428840,"startTime":"0","endTime":"0","summary":"STOCKHOLM--Autoliv and Chinese automaker XPeng agreed on a framework deal to develop new safety technology for vehicles.The Swedish maker of airbags and safety belts said Tuesday that the two companies aim to collaborate across several key areas, including technology development, digitalization, supply-chain coordination, sustainability, and global business expansion.Autoliv said it would leverage its global footprint and experience in automotive safety systems to support XPeng's product development and global expansion strategy.Write to Dominic Chopping at dominic.chopping@wsj.com Dow Jones NewswiresJuly 07, 2026 08:54 ET Copyright  2026 Dow Jones & Company, Inc.","market":"hk","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://dowjonesnews.com/newdjn/logon.aspx?AL=N","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["ALV","BK4124","BK4526","09868","BK4555","XPEG","XPEV","LU2242652126.USD","LU2242646821.SGD","EVS.SI","BK4099","BK4551","BK4505"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649819209","title":"Autoliv and Xpeng Partner to Advance Safer Mobility Worldwide","url":"https://stock-news.laohu8.com/highlight/detail?id=2649819209","media":"THOMSON REUTERS","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649819209?lang=en_us&edition=fundamental","pubTime":"2026-07-07 18:49","pubTimestamp":1783421363,"startTime":"0","endTime":"0","summary":null,"market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260707:nFWN4390P0:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":"reuters_en_live","symbols":["BK4124","BK4099","LU2242652126.USD","BK4526","XPEG","EVS.SI","09868","BK4505","LU2242646821.SGD","BK4555","XPEV","ALV","BK4551"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649981132","title":"Autoliv Partners with Xpeng to Develop Global Vehicle Safety Solutions","url":"https://stock-news.laohu8.com/highlight/detail?id=2649981132","media":"Reuters","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649981132?lang=en_us&edition=fundamental","pubTime":"2026-07-07 18:49","pubTimestamp":1783421351,"startTime":"0","endTime":"0","summary":"Autoliv partners with XPeng to develop global vehicle safety solutionsAutoliv signed a strategic cooperation framework agreement with XPENG to develop safer mobility solutions for global markets.Colla","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260707:nNDL6gSG95:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4124","BK4099","LU2242652126.USD","BK4526","XPEG","EVS.SI","09868","BK4505","LU2242646821.SGD","BK4555","XPEV","ALV","BK4551"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1129732006","title":"Automakers Diversify into High-Tech Sectors to Forge New Revenue Streams","url":"https://stock-news.laohu8.com/highlight/detail?id=1129732006","media":"Deep News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1129732006?lang=en_us&edition=fundamental","pubTime":"2026-07-07 18:45","pubTimestamp":1783421115,"startTime":"0","endTime":"0","summary":"Global automotive demand continues to face pressure as consumer appetite for new car purchases wanes, with a preference for maintaining existing vehicles or opting for used cars. To offset revenue...","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0964807845.USD","LU0359201885.HKD","BK4574","LU0109391861.USD","TSLP","LU1023057109.AUD","TSLT","LU1674673428.USD","BK1539","LU2097828631.EUR","BK4588","LU0820562030.AUD","LU1366192091.USD","LU2294711713.HKD","HYDD.SI","BK4592","LU2357305700.SGD","LU0254981946.USD","LU0516423091.SGD","BYDDY","LU0345769128.USD","LU2097828474.EUR","LU0077335932.USD","LU1242518931.SGD","LU0143863198.USD","LU1914381329.SGD","EVS.SI","TSLS","LU1852331112.SGD","IE00BK4W5L77.USD","BK4555","LU2476274308.USD","BK1522","LU2471134523.USD","81211","LU1861559042.SGD","IE00BJLML261.HKD","LU0289960550.SGD","LU0543330566.HKD","LU1435385759.SGD","LU2290526834.HKD","LU0943347566.SGD","LU0531971595.HKD","LU1066051498.USD","SG9999015952.SGD","LU0039217434.USD","TSLO","LU1861214812.USD","SG9999002828.SGD","LU1861558580.USD","LU1719994722.HKD","LU1328277881.USD","LU0130517989.USD","LU1629891620.HKD","IE00BZ08YT58.USD","LU1201861249.SGD","LU0348827113.USD","IE00B19Z9505.USD","TSYY","LU2168564222.USD","FRDD","XPEV","LU2417539215.USD","LU1794554557.SGD","LU0345769631.USD","TSLG","LU0871576103.HKD","LU0097036916.USD","SG9999001226.SGD","LU0269904917.USD","BK4566","LU2506951792.HKD","LU0820561818.USD","LU1861215975.USD","LU0359202008.SGD","LU0072461881.USD","LU0289739343.SGD","LU0516423174.USD","LU0210536198.USD","SG9999015978.USD","BK1582","IE00B19Z8X17.USD","LU2462157665.USD","IDRV","LIT","TSLA","LU0348825331.USD","TSLL","09868","LU1267930730.SGD","BK4548","LU0417516902.SGD","LU0326950275.SGD","LU0463099449.HKD","LU2357125470.USD","LU0719512351.SGD","LU0469268626.HKD","LU0823039010.USD","LU0345770993.USD","LU0348735423.USD","LU0708995401.HKD","LU2023250330.USD","LU0320765489.SGD","LU0511384066.AUD","LU2168564065.EUR","LU0823426480.USD","LU0289961442.SGD","07766","LU0320764599.SGD","LU0244354667.USD","IE00BWXC8680.SGD","LU1720051017.SGD","IE00B775SV38.USD","LU0006061336.USD","LU0234570918.USD","SG9999015945.SGD","LU2153592121.USD","LU0820561909.HKD","LU0516422440.USD","TSLW","LU2326559502.SGD","BK1610","TEST","LU0650527681.SGD","LU2750360997.AUD","LU0229945570.USD","LU1880383366.USD","LU0477156953.USD","LU0823426308.USD","LU0143863784.USD","LU2778985437.USD","BK4526","LU0819123356.HKD","LU0345770308.USD","LU2456880835.USD","BK4585","LU1303224171.USD","LU2449936058.SGD","BK4551","LU1429558221.USD","LU0823038988.USD","LU2097828714.EUR","BK4099","IE00BZ08YS42.EUR","LU1066051811.HKD","GM","LU0516422952.EUR","LU0070302665.USD","LU0979878070.USD","LU2249611893.SGD","TSLY","IE00B19Z8W00.USD","LU2168564149.EUR","LU1188198961.HKD","LU1496350502.SGD","LU1242518857.USD","TLA","CRSH","LU0348723411.USD","IE00B3S45H60.SGD","LU0509642566.USD","LU0316494557.USD","LU0466842654.USD","LU0128522744.USD","LU2399975544.HKD","LU1861219969.SGD","LU2063271972.USD","BK4533","BK4527","LU0708995153.HKD","BK4534","LU0819121731.USD","LU2471134952.CNY","BK1594","LU0130102774.USD","LU0980610538.SGD","LU1839511570.USD","LU0823414478.USD","LU0572944931.SGD","LU0417516738.SGD","LU0588545490.SGD","LU1778281490.HKD","BK4598","LU1720050803.USD","LU2420271590.USD","SG9999014674.SGD","LU0133085943.USD","LU2097828805.USD","LU0164865239.USD","LU0865486749.SGD","TSL","LU0162691827.USD","LU1808992512.USD","LU0043850808.USD","BK4505","LU0314109678.HKD","LU0084288322.USD","LU0323591593.USD","LU0234572021.USD","SG9999006514.SGD","LU0175139822.USD","LU1232071149.USD","LU0634319403.HKD","LU0214875030.USD","BK4581","07366","LU0477156797.USD","LU1548497426.USD","LU0594300179.USD","LU2108987350.USD","LU2750360641.GBP","TSLI","BK1509","BK4561","LU0359201612.USD","HK0000914660.USD","LU2213496289.HKD","LU0053666078.USD","LU0561508036.HKD","LU2250418816.HKD","BK4516","LU1880383440.USD","LU2348774022.SGD","01211","LU2039709279.SGD","LU1770034418.SGD","LU0029874905.USD","IE00BK4W5M84.HKD","SMOG","FRDU","LU2471134879.HKD","LU1861220033.SGD","SG9999002463.SGD","LU0605514214.HKD","LU0856984785.SGD","LU0211977185.USD","IE00BZ08YR35.GBP","IE00BD6J9T35.USD","LU2471134796.USD","LU0648001328.SGD","LU0082616367.USD","LU0505663152.USD","SG9999015986.USD","LU2168564495.EUR","IE0034235303.USD","BK4596","LU0588545730.USD","IE00B1BXHZ80.USD","LU0130518102.USD","LU0307460666.USD","LU0708995583.HKD","LU0593848301.USD","HK0000914686.HKD","LU1066051225.USD","TSLR","LU0828238088.HKD","IE00BSNM7G36.USD","SG9999006597.SGD","BK4550","LU0449509016.USD","LU2236285917.USD","LU2097828557.USD","BK4511","TESL","FDRV","LU0327786744.USD","LU1145028129.USD","TSLZ","LU0672654240.SGD","LU1201861165.SGD","LU0211331839.USD","LU0689472784.USD","BK4543","LU1868837565.USD","LU2360107325.USD","LU0540923850.HKD","BK4559","LU1066053197.SGD","LU0198837287.USD","LU2360107168.USD","WANT","LU0531970944.HKD","LU0320764243.SGD","LU1551013342.USD","BK4604","LU0588545904.SGD","LU1251922891.USD","LU0823411888.USD","LU1961090484.USD","IE00B1XK9C88.USD","09766","LU1674673691.USD","LU1868838027.USD","LU0056508442.USD","LU1868837722.USD","BK1540","LU2476274720.SGD","LU2602419157.SGD","LU2168563687.JPY","09366","BK1119","LU1813983027.USD","F","LU2756315664.SGD","LU1551013425.SGD","LU0130103400.USD","LU2360106780.USD","LU2087621335.USD","LU0259732245.USD","LU0516422366.SGD","LU0208291251.USD","002594","LU2756315318.SGD","TSII","LU0165289439.USD","LU0052750758.USD","LU0348805143.USD","LU0823414551.USD","LU2896262040.SGD","LU0320765059.SGD","LU0054450605.USD","LU0449515922.USD","LU0164872284.USD","LU0315178854.USD","BK4612","TSLQ","XPEG","LU0588546209.SGD","LU0648000940.SGD","LU1720051108.HKD","LU0594300419.USD","LU2403377893.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1159758775","title":"XPeng Shares Climb Over 3% Following Strong Debut Weekend for New MONA L03 Model","url":"https://stock-news.laohu8.com/highlight/detail?id=1159758775","media":"Stock News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1159758775?lang=en_us&edition=fundamental","pubTime":"2026-07-06 22:24","pubTimestamp":1783347876,"startTime":"0","endTime":"0","summary":"Shares of XPeng Inc. (XPEV.US) rose more than 3% on Monday, trading at $13.52.The positive movement follows a weekend of high customer interest for the company's new vehicle. XPeng's Chairman and...","market":"sg","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4551","09868","BK4099","BK4555","XPEV","BK4526","XPEG","EVS.SI","BK4505"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649627993","title":"LIVE Markets-robotaxis — a $1 Trillion Market Opportunity by 2040","url":"https://stock-news.laohu8.com/highlight/detail?id=2649627993","media":"Reuters","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649627993?lang=en_us&edition=fundamental","pubTime":"2026-07-06 22:22","pubTimestamp":1783347736,"startTime":"0","endTime":"0","summary":"LIVE MARKETS-Robotaxis — A $1 trillion market opportunity by 2040Nasdaq rallies ~1%, S&P 500 up ~0.5%, Dow off ~0.3%Tech leads S&P 500 sector gainers; Healthcare weakest groupEuro STOXX 600 index off ","market":"us","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260706:nL4N4380YT:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0124676726.USD","LU2290526834.HKD","TSLR","LU0211326839.USD","LU1267930573.SGD","MAXI","LU1363072403.SGD","IE00BMPRXN33.USD","XPEV","LU1074936037.SGD","LU1551013342.USD","UBEW","IE00BK4W5M84.HKD","LU1791710400.SGD","LU1674673428.USD","LU0640476718.USD","LU2403377893.USD","LU2404859667.USD","LU0708994859.HKD","SG9999015986.USD","LU1221951129.SGD","LU0130517989.USD","LU0061474960.USD","LU1951198990.SGD","LU2168563687.JPY","BFJL","LU0056508442.USD","LU1046421795.USD","LU1119994496.HKD","LU0198837287.USD","IE00BLSP4239.USD","GOOX","LU1988902786.USD","BK4585","BK4551","LU0672654240.SGD","BK4534","TSLZ","LU0689472784.USD","SG9999018865.SGD","IE00B19Z9505.USD","LU1116320901.HKD","LU1400636574.HKD","BK4532","IE0002270589.USD","LU1633808545.USD","LU2505996509.AUD","LU1803068623.USD","BITO","LU2756315664.SGD","LU1202635105.USD","02026","BITX","BK4516","LU2023250330.USD","IE00B19Z3B42.SGD","LU1267930490.SGD","LU1066051225.USD","TSLI","BK4579","LU0109391861.USD","LU2746668974.SGD","LU2242650005.HKD","BK4504","SGXZ31699556.SGD","IE00BHPRN162.USD","LU0006306889.USD","LU1868836914.USD","OGIG","LU0320765646.SGD","LU1496350171.SGD","IE00B7SZLL34.SGD","LU0472753341.HKD","LU0557290698.USD","LU1267930813.SGD","LU0345770993.USD","LU1720051108.HKD","BTCL","BK4592","LU0353189680.USD","LU0942090050.USD","LU2471134879.HKD","TLA","LU1861559042.SGD","VOX","LU0175139822.USD","GOU","LU0345769631.USD","LU1116320737.USD","LU0784384876.USD","LU1699723380.USD","IE00BMPRXQ63.HKD","BK4514","IE0001KFT4U8.USD","LU1868837300.USD","LU1400636657.SGD","LU0994945656.USD","CBOO","LU1815333072.USD","LU0251132253.USD","LU0823434740.USD","LU1244550221.USD","LU1429558221.USD","LU0094547139.USD","LU0289739343.SGD","LU1066051811.HKD","LU1232071149.USD","UBRL","LU0080751232.USD","IE00BKDWB100.SGD","LU2360107168.USD","BK4099","LU0320765489.SGD","HK0000914686.HKD","LU0048584097.USD","LU1868836757.USD","LU1066053197.SGD","LU2326559502.SGD","LU1301847155.USD","BITI","LU1435385759.SGD","CBTO","XDAT","LU0912757837.SGD","LU1880398471.USD","LU0130103400.USD","FCOM","LU0157215616.USD","LU0096362180.USD","LU0742534661.SGD","LU1280957306.USD","LU0868494617.USD","IE00B1BXHZ80.USD","LU2125909593.SGD","LU0312595415.SGD","LU0203345920.USD","BTC","LU1852331112.SGD","BK4550","LU2404859741.USD","LU0976567544.SGD","LU0345774631.USD","LU2237438978.USD","MNRS","LU1303367103.USD","LU2487616109.SGD","LU2357305700.SGD","LU0138981039.USD","LU0158827781.USD","SG9999000418.SGD","LU0390134368.USD","LU0082616367.USD","CBOY","LU0203347892.USD","CBTA","LU2954938101.SGD","SG9999014575.USD","LU1894683348.USD","LU2133065610.SGD","LU2244417387.USD","LU0957808578.USD","LU2065171402.SGD","TSDD","LU0096364046.USD","LU1196500208.SGD","LU0964807845.USD","LU1366192091.USD","IE00BD6J9T35.USD","LU0528227936.USD","SG9999017495.SGD","LU2168564149.EUR","SBIT","GBTC","LU0170899867.USD","IE00BYXW3230.USD","LU0265550946.USD","LU0690374961.EUR","HK0000914660.USD","LU1732800096.USD","LU2077746001.SGD","LU0949170426.SGD","LU0971096721.USD","LU1642822529.SGD","LU1732799900.SGD","LU2106854487.HKD","BK4573","SG9999014914.USD","LU1267930730.SGD","LU1153585028.USD","LU2125154778.USD","LU1914381329.SGD","LU2471134952.CNY","LU1989772923.USD","LU1935042488.USD","LU0215105999.USD","BK4127","CBOA","LU0823411888.USD","LU2092627202.USD","LU0011850046.USD","LU2602419157.SGD","LU2491050071.SGD","IE00BSNM7G36.USD","LU2360106780.USD","LU2433249047.HKD","LU2102340556.USD","LU2250418816.HKD","LU2271345857.HKD","TESL","CBOJ","LU2417539215.USD","IE0034235295.USD","LU1548497426.USD","BPI","SG9999018857.SGD","LU2111349929.HKD","IE00BMPRXR70.SGD","IE000F7OJYX1.SGD","BK4505","LU0128525689.USD","SNPE","LU0784385840.USD","PONY","IE00BJTD4V19.USD","LU2023250843.SGD","TSLG","BK1119","LU0098860793.USD","LU0302445910.USD","DRIV","TSLW","BK4581","LU0426417589.USD","IE0000B7K699.USD","TSLO","LU0466842654.USD","LU0061475181.USD","LU1894683264.USD","CBXO","09868","LU0211327993.USD","LU0057025933.USD","LU0417517546.SGD","BTRN","LU2430703251.USD","LU2065169927.USD","BK4536","LU0792757196.USD","LU0029864427.USD","07366","BTF","DFII","IYT","CBTY","LU1235294995.USD","09766","07766","BTCC","CBXY","SG9999014898.SGD","LU0354030511.USD","BK4604","TSLA","LU1983260115.SGD","IE00BJTD4N35.SGD","LU0345774391.USD","LU2097344357.USD","IE00BKVL7J92.USD","BK4566","GOOW","LU2471134796.USD","LU2168564222.USD","LU1674673691.USD","LU2362541273.HKD","SG9999014906.USD","LU0661504455.SGD","LU1366333091.USD","IE000SO60NU8.SGD","TSLT","SG9999015978.USD","UBER","LU0143551892.USD","LU0708995401.HKD","LU2592432038.USD","BK4548","LU0289961442.SGD","LU0053666078.USD","LU2237957811.SGD","LU1935043536.SGD","GB00B4QBRK32.GBP","BK4023","LU0061474705.USD","SG9999015952.SGD","LU0211331839.USD","IE00B19Z8X17.USD","BK4535","BITY","LU0949170772.SGD","IE00BBT3K403.USD","BK4561","LU1923623000.USD","LU0234570918.USD","IE00BK4W5L77.USD","LU0648001328.SGD","ARKB","WANT","LU1267930227.SGD","LU0154236417.USD","EFIV","HK0000304797.USD","LU2098885051.SGD","LU1804176565.USD","LU0690374615.EUR","IBIT","FBTC","LU0211326755.USD","IE00B19Z8W00.USD","LU1430594728.SGD","LU1778281490.HKD","IE00B19Z3581.USD","LU1718418525.SGD","LU1571399168.USD","LU0957791311.USD","LU0158827948.USD","CBXA","GB00B4LPDJ14.GBP","LU1496350502.SGD","BK4124","LU0348723411.USD","LU1670628061.USD","LU1974910355.USD","LU0251142724.SGD","LU1668664300.SGD","BFAP","IAI","LU0882574139.USD","BTCZ","BK4543","KBWB","LU0353189763.USD","SKYY","LU2023251221.USD","IE0004091025.USD","LU0496365809.HKD","TPOR","SG9999015358.SGD","QBF","LU0097036916.USD","LU0477156953.USD","TSLQ","HODL","09366","LU1951200564.SGD","LU2063271972.USD","LU0980610538.SGD","LU2456880835.USD","IE00BKPKM429.USD","LU1064131342.USD","GGLL","LU2213496289.HKD","MS","IE00BDCRKT87.USD","METV","LU2247934214.USD","LU2999663052.SGD","IE00B1XK9C88.USD","TSL","LU1989772840.SGD","LU0208291251.USD","LU2746668461.USD","SG9999014880.SGD","LU0106831901.USD","LU2191332357.HKD","TSLL","BK4602","GOOP","LU1145028129.USD","LU0310800965.SGD","LU0130102774.USD","LU1989764664.SGD","LU1221951046.USD","IE0034235303.USD","LU0106261372.USD","BK1588","LU2028103732.USD","BK4588","LU0985320562.USD","LU2108987350.USD","LU1880398554.USD","LU0234572021.USD","IE00BJLML261.HKD","WRD","LU1244550577.SGD","DEFI","IE000BZT7R73.USD","LU1066051498.USD","LU0210528500.USD","LU1316542783.SGD","SG9999014567.USD","SGXZ51526630.SGD","BITU","LU1059921491.USD","LU1823568750.SGD","IE000WAW04H5.SGD","LU0052756011.USD","LU2264538146.SGD","LU0476273544.USD","LU0345770308.USD","LU2430703095.HKD","HK0000532082.HKD","LU0316494557.USD","LU2249611893.SGD","LU1839511570.USD","BK1587","LU0265550359.USD","IE0004086264.USD","LIT","LU2381873111.SGD","CRSH","LU1043141396.HKD","LU0719512351.SGD","LU0345769128.USD","LU1861558580.USD","LU2125909247.SGD","BTFX","LU0251131958.USD","ILDR","LU2211815571.USD","LU2097829019.USD","LU2125154935.USD","LU2491049909.HKD","BTCO","LU1506573853.SGD","LU0314104364.USD","XLC","LU0077335932.USD","LU2420271590.USD","IE00BDRTCR15.USD","FDRV","LU0127658192.USD","LU2462591277.SGD","IE00BLSP4452.SGD","LU1923622614.USD","LU0593848301.USD","LU1162221912.USD","LU0738911758.USD","LU0314106906.USD","LU2092937148.SGD","LU0943347566.SGD","LU0048573561.USD","LU0345768740.USD","BETH","BETE","TSLS","LU0187121727.USD","LU0323591593.USD","LU2097344431.USD","LU1400636491.USD","LU2065170008.USD","LU1935043023.USD","BAGY","LU1989764748.USD","LU0320765059.SGD","LU0477156797.USD","LU0107464264.USD","LU1121112475.USD","LU0444971666.USD","LU2362540622.SGD","LU2054465674.USD","LU2430703178.SGD","LU1814569148.SGD","LU0784385170.HKD","LU2750360997.AUD","BTCW","LU0823414478.USD","BK4574","BK4598","SG9999014542.SGD","LU2462591350.SGD","LU0128525929.USD","LU1861220033.SGD","GGLS","BTCI","LU1244550494.USD","TSYY","BK4576","LTL","LU1868836591.USD","LU1791710582.SGD","LU0174119429.USD","LU1720051017.SGD","LU1323610961.USD","LU1629891620.HKD","BK4609","LU0648000940.SGD","LU0444973449.USD","TSLY","LU2089283258.USD","LU2242649171.HKD","LU1861215975.USD","BK4511","TSII","LU0310800379.SGD","LU1645745479.HKD","LU1670756490.USD","BITB","IE00BZ199S13.USD","IE00BWXC8680.SGD","BK4612","LU2168564495.EUR","BTC.USD.CC","LU1670627923.USD","LU2471134523.USD","IE00BFMHRM44.USD","LU1003077747.HKD","YBTC","SGXZ81514606.USD","LU0787776722.HKD","LU0070302665.USD","LU2023250504.SGD","LU2089284900.SGD","LU0689626769.HKD","LU2065171311.SGD","BK4503","LU1201861249.SGD","LU0868494708.USD","LU1585245621.USD","LU0345768153.USD","LU1032955483.USD","LU0545039389.USD","LU2462157665.USD","LU2756315318.SGD","LU1201861165.SGD","LU1043141123.HKD","BK1610","LU0494093205.USD","LU1935042991.SGD","LU2362541513.USD","LU2896262040.SGD","CBXJ","LU0784383803.USD","LU0820562030.AUD","SMOG","LU2860962120.EUR","LU0642271901.SGD","EZBC","LU0149725797.USD","SGXZ99366536.SGD","LU0823421416.USD","LU2236285917.USD","LU2360107325.USD","IE00BN8TJ469.HKD","SG9999015945.SGD","TSLP","BRRR","LU0683600562.USD","IE00BQXX3F31.USD","LU0210536198.USD","LU1084165304.USD","LU0289960550.SGD","BK4555","LU2505996681.GBP","LU0889566641.SGD","BK4527","IE00BQXX3C00.GBP","BK4022","LU2168564065.EUR","LU0553294199.USD","SG9999014559.SGD","LU2347655156.SGD","LU0823421333.USD","LU1551013425.SGD","GOOY","LU0795875169.SGD","LU0820561818.USD","LU2275660780.HKD","LU0256863811.USD","BK1575","CBTJ","LU2750360641.GBP","IE0034235188.USD","LU1261432733.SGD","LU1815336760.USD","LU0426412945.USD","LU2087621335.USD","BK1539","PONX","LU0133085943.USD","LU0795875086.SGD","LU0211328371.USD","LU0069063385.USD","LU0130518102.USD","LU0310799852.SGD","LU0267386448.USD","LU0820561909.HKD","LU1861214812.USD","LU0552385451.USD","LU1868837136.USD","LU0070217475.USD","LU1935042215.USD","BK4533","LU0276348264.USD","XBTY","IE000MB6IJN5.SGD","LU2087625088.SGD","LU0823434583.USD","LU2265009873.SGD","HK0000819398.USD","GOOGL","LU0225283273.USD","00800","BK4230","BK4077","SG9999015341.SGD","BK4538","LU1861219969.SGD","LU0354030438.USD","GB00BDT5M118.USD","LU0256863902.USD","LU1917777945.USD","LU2237957902.USD","LU0210533765.USD","BCCC","IE00BQXX3D17.EUR","LU0342679015.USD","LU0511384066.AUD","LU2491050154.USD","LU2360032135.SGD","HK0000304805.HKD","TEST","IE00BZ1G4Q59.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2649644367","title":"Xpeng Delivers 40,126 Vehicles in June 2026 and 103,295 in Q2 2026","url":"https://stock-news.laohu8.com/highlight/detail?id=2649644367","media":"Reuters","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2649644367?lang=en_us&edition=fundamental","pubTime":"2026-07-06 15:46","pubTimestamp":1783323960,"startTime":"0","endTime":"0","summary":"July 1 (Reuters) - Xpeng Inc <9868.HK>::*XPENG ANNOUNCES VEHICLE DELIVERY RESULTS FOR JUNE AND SECOND QUARTER 2026*XPENG - DELIVERS 40,126 VEHICLES IN JUNE 2026 AND 103,295 IN Q2 2026((Reuters Investo","market":"nz","thumbnail":null,"type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://api.refinitiv.com/data/news/v1/stories/urn:newsml:reuters.com:20260706:nRSD3Jls1V:1","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["09868","BK1587","BK1575","BK1539","LU0593848301.USD","BK1119","BK1610","XPEV","BK1588"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1148884759","title":"Movement Alert｜XPeng Rises 5.05% Overnight, MONA L03 Pre-Sale Orders Break Company Records Amid Buy Rating Reiteration","url":"https://stock-news.laohu8.com/highlight/detail?id=1148884759","media":"Market Focus","labels":["productRelease"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1148884759?lang=en_us&edition=fundamental","pubTime":"2026-07-06 10:07","pubTimestamp":1783303670,"startTime":"0","endTime":"0","summary":"On July 6, XPeng rose 5.05% overnight, trading at $13.69/share, with turnover of $574,600. The rally was driven by a confluence of positive catalysts including record-breaking pre-sale orders for the...","market":"us","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"productRelease","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["XPEV"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1153577491","title":"UOB Kay Hian Adjusts Price Targets on Chinese Automakers Following Mixed June Sales","url":"https://stock-news.laohu8.com/highlight/detail?id=1153577491","media":"Stock News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1153577491?lang=en_us&edition=fundamental","pubTime":"2026-07-06 10:02","pubTimestamp":1783303374,"startTime":"0","endTime":"0","summary":"UOB Kay Hian has released a research report indicating that sales performance among the top five Chinese automakers was mixed in June, with robust export growth offsetting persistent domestic...","market":"nz","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["LU0561508036.HKD","LU1861214812.USD","LU1282651048.USD","LU1978683503.SGD","LU2097828805.USD","LU0315179316.USD","LU1048596156.SGD","BK1539","LU0307460666.USD","LU2249611893.SGD","LU2348773727.SGD","09868","81211","BK1521","BK1540","LU0231483743.USD","LU0594300419.USD","LU2148510915.USD","LU1969619763.USD","LU0051755006.USD","LU0348827113.USD","LU0501845795.SGD","LU1023057109.AUD","LU2125910849.SGD","LU0175139822.USD","LU1188198961.HKD","LU1917777945.USD","SG9999015986.USD","LU0823426480.USD","IE00B29SXG58.USD","LU1720050803.USD","LU0823413660.USD","LU0320764243.SGD","LU0708995153.HKD","SG9999001903.USD","LU2153591404.USD","LU0455707207.USD","LU0039217434.USD","LU0011963245.USD","LU0823437842.USD","LU1721428347.USD","LU0593848301.USD","LU0588545904.SGD","SG9999002463.SGD","002594","LU0463099449.HKD","LU1146622755.USD","HYDD.SI","LU0326948709.USD","LU2023250504.SGD","LU0823426308.USD","BK1522","LU1997244956.HKD","LU0345770993.USD","LU0516422440.USD","LU1880383366.USD","IE00B543WZ88.USD","LU0132412106.USD","LU0106252389.USD","LU0164872284.USD","LU0405327494.USD","LU1781817850.SGD","HK0000181138.USD","LU2289578879.USD","SG9999006597.SGD","LU0823414478.USD","LU0348825331.USD","LU0511384066.AUD","LU0672654166.SGD","LU0107464264.USD","LU2357125470.USD","LU2294711473.HKD","LU1861219969.SGD","LU0540923850.HKD","LU0029874905.USD","BK0224","LU1282651121.HKD","LU0819123356.HKD","SG9999000459.SGD","LU0979878070.USD","LU1820825898.SGD","LU0048388663.USD","LU2097828631.EUR","LU0128522157.USD","LU0531971595.HKD","LU1152091168.USD","LU2399975544.HKD","U10.SI","LU0235996351.USD","LU2580892862.HKD","80175","LU0572939691.SGD","LU0106259558.USD","LU0289960550.SGD","LU1655091616.SGD","BK1119","90132","LU0898667661.SGD","LU0211977185.USD","LU1813983027.USD","BK6516","BK1587","LU0244354667.USD","LU0651947912.USD","LU0072913022.USD","LU0543330483.HKD","SG9999015945.SGD","LU2476274308.USD","LU0828237510.HKD","LU0650527681.SGD","LU0531970944.HKD","BK1190","LU0072462343.USD","LU0254981946.USD","LU0828237940.HKD","LU2328871848.SGD","SG9999002414.USD","LU0865486749.SGD","LU0181495838.USD","LU2092937221.SGD","LU0048575426.USD","LU1328277881.USD","IE00BZ08YR35.GBP","LU0708995583.HKD","LU0516423091.SGD","02015","LU1224444064.USD","LU2153592121.USD","LU0405327148.USD","LU0348805143.USD","IE00B3M56506.USD","LU1048588211.SGD","BK1589","01772","LU1769817179.HKD","IDRV","LU0047713382.USD","LU0588545730.USD","82333","LU0048580855.USD","LU1008478684.HKD","BK1509","HK0000181112.HKD","LU0293314216.USD","LU0143863784.USD","LU2125910500.SGD","LU2039709279.SGD","LU0359201612.USD","LU2041044095.USD","BYDDY","LU0828238088.HKD","SG9999014674.SGD","300750","LU1808992512.USD","LU0509642566.USD","LU1515016050.SGD","LU0784639295.USD","LU0128522744.USD","LU0210526637.USD","LU0312595415.SGD","LU1064130708.USD","XPEV","LU0084288322.USD","SG9999000327.SGD","LU1939255532.USD","LU0165289439.USD","LU1051768304.USD","LU0192582467.USD","LU2778985437.USD","LU1997245177.USD","LU2298064838.USD","LU2298322129.HKD","LU1934453819.USD","LU1655091459.SGD","LU0229945570.USD","LU2360108059.USD","SG9999006514.SGD","LU0821914370.USD","LU2294711713.HKD","00175","LU2106854487.HKD","EVS.SI","LU0143863198.USD","LU0049853897.USD","LU1868837565.USD","FDRV","SG9999001226.SGD","LU3063872942.SGD","IE00B5MMRT66.SGD","LU2360107325.USD","LU0117844026.USD","LU1242518857.USD","SG9999002828.SGD","LIT","SG9999015978.USD","BK1129","LU2394011477.USD","LU0607220059.USD","LU1880383440.USD","LU0588546209.SGD","LU0315178854.USD","002460","LU0819121731.USD","SMOG","LU1303224171.USD","IE0003851619.USD","LU1251922891.USD","LU0449509016.USD","LU1868838027.USD","SG9999015952.SGD","LU0823039010.USD","LU1039395188.USD","LU0856984785.SGD","BK1575","LU2045819591.USD","BK1582","LU2275660780.HKD","LU2348774022.SGD","LU0359201885.HKD","GELYY","LU2097828474.EUR","LU2477742899.HKD","CXSE","SG9999003461.SGD","IE00BD6J9T35.USD","01211","LU0188438112.USD","LU1152091754.HKD","LU2242644610.SGD","LU0228659784.USD","LU0345770308.USD","LU0543330566.HKD","LU1102505929.USD","IE00BZ199S13.USD","LU0259732245.USD","LU1831875114.USD","03750","LU0724618433.USD","LU0823038988.USD","LU0572940350.SGD","LU0124384867.USD","LU0572944931.SGD","LU0261950470.USD","LU0516423174.USD","BK1592","LU0043850808.USD","LU1769817096.USD","LU0823414551.USD","LU0611395673.USD","LU0328353924.USD","LU2152927971.USD","SGXZ81163826.USD","LU2506952337.HKD","LU0054450605.USD","LU0269904917.USD","BK1610","LU0320764599.SGD","LU1102505762.USD","LU0327786744.USD","SG9999001689.USD","LU1770034418.SGD","LU2506952253.HKD","00425","LI","LU0302445910.USD","LU0651946864.USD","BK1588","LU0469268626.HKD","LU0634319403.HKD","LU0320764755.SGD","IE00BZ08YS42.EUR","IE00B8L5B284.USD","LU1580142542.USD","LU1979443071.USD","LU0605514214.HKD","601633","LU0251143458.SGD","LU0214875030.USD","IE00BZ08YT58.USD","LU0067412154.USD","SG9999001846.SGD","LU2449936058.SGD","LU0594300179.USD","LU1051769294.HKD","LU2580892789.USD","LU2476274720.SGD","LU2495084118.USD","LU0516422366.SGD","IE0032431581.USD","LU2506952410.USD","LU1961090484.USD","LU2097828557.USD","LU0289961442.SGD","LU2506951792.HKD","SGXZ49509284.SGD","LU1794554557.SGD","02333","LU1064131003.USD","LITP","LU0210527791.USD","LU2238339852.HKD","LU0505663152.USD","LU0264606111.USD","LU0326950275.SGD","SG9999002406.SGD","IE00B0JY6N72.USD","LU0164865239.USD","LU1974910355.USD","LU0516422952.EUR","LU0289739343.SGD","LU0140636845.USD","LU0417516738.SGD","LU1255011170.USD","IE00B8HQ1Z84.USD","LU0359202008.SGD","LU1242518931.SGD","LU0502904849.HKD","LU0880133367.SGD","LU0823413587.USD","LU0370786039.SGD","LU0588545490.SGD","LU0266013472.USD","LU1868837722.USD","LU0449515922.USD","LU1719994722.HKD","BK1144","GWLLY","LU0314109678.HKD","LU0149534421.HKD","LU0106959298.USD","LU0052750758.USD","LU0871576103.HKD","LU0456827905.SGD","LU1997245094.SGD","LU0417516902.SGD","IE0003795394.USD","BK1594","LU0029875118.USD","LU0831103253.SGD","LU0348735423.USD","LU2097828714.EUR","LU2298321311.HKD","BK6044","LU2424517915.HKD","IE00BPRC5H50.USD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"1190557338","title":"XPeng's Global Expansion Hinges on a 140,000 Yuan SUV","url":"https://stock-news.laohu8.com/highlight/detail?id=1190557338","media":"Deep News","labels":[],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/1190557338?lang=en_us&edition=fundamental","pubTime":"2026-07-03 21:47","pubTimestamp":1783086468,"startTime":"0","endTime":"0","summary":"XPeng's most significant test for global expansion is now resting on a 140,000-yuan SUV.On the evening of July 2nd, XPeng launched its most strategically important model for the second half of the...","market":"nz","thumbnail":"","type":0,"news_type":0,"thumbnails":[],"rights":null,"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"","news_rank":0,"length":0,"strategy_id":0,"source":null,"symbols":["BK4505","BK4099","EVS.SI","09868","BK4526","BK4551","XPEV","BK4555","XPEG"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648654470","title":"Xpeng delivers 1,300 EVs to Car Inc, deepening mobility push","url":"https://stock-news.laohu8.com/highlight/detail?id=2648654470","media":"CnEVPost","labels":["corporation"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648654470?lang=en_us&edition=fundamental","pubTime":"2026-07-03 16:17","pubTimestamp":1783066649,"startTime":"0","endTime":"0","summary":"Car Inc has bought over 5,000 Xpeng vehicles to date and plans to purchase at least 5,000 more within the next year.","market":"nz","thumbnail":"data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E","type":0,"news_type":0,"thumbnails":["data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E"],"rights":{"source":"cnevpost_highlight","url":"https://cnevpost.com/2026/07/03/xpeng-delivers-1300-evs-to-car-inc/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://cnevpost.com/2026/07/03/xpeng-delivers-1300-evs-to-car-inc/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"corporation","news_rank":0,"length":0,"strategy_id":0,"source":"cnevpost_highlight","symbols":["LU0348825331.USD","LU2097828805.USD","LU1813983027.USD","BK1509","LU0531971595.HKD","BK1539","BK1540","IE00BZ08YT58.USD","LU1188198961.HKD","LU2249611893.SGD","XPEG","LU1861214812.USD","LU2153592121.USD","LU0244354667.USD","LU0819121731.USD","LU2449936058.SGD","LU0516422366.SGD","LU2097828557.USD","LU0348805143.USD","BK4505","LU0588546209.SGD","LU0039217434.USD","LU0320764599.SGD","SG9999001226.SGD","LU0315178854.USD","LU0588545904.SGD","LU0320764243.SGD","LU0823038988.USD","BYDDY","SG9999015945.SGD","LU0561508036.HKD","SG9999014674.SGD","LU0359201612.USD","LU0029874905.USD","LU1868837565.USD","LU0314109678.HKD","LU0594300419.USD","LU0054450605.USD","XPEV","LU2294711713.HKD","LU0463099449.HKD","LU0634319403.HKD","LU0229945570.USD","LU0823414478.USD","LU0865486749.SGD","LU0823426308.USD","LU1868838027.USD","LU0588545490.SGD","LU0516423091.SGD","LU0823414551.USD","LU2348774022.SGD","LU0516422952.EUR","LU0650527681.SGD","LU0143863198.USD","LU0594300179.USD","LU0359202008.SGD","LU0871576103.HKD","LU0516423174.USD","LU0531970944.HKD","LU0469268626.HKD","IE00BZ08YS42.EUR","LU1242518857.USD","LU0828238088.HKD","LU1808992512.USD","LU0449515922.USD","LU2476274720.SGD","BK1594","LU0164865239.USD","LU1868837722.USD","LU0326950275.SGD","IE00BD6J9T35.USD","BK4099","LU0327786744.USD","LU1720050803.USD","01211","LU0509642566.USD","LU1961090484.USD","SG9999015978.USD","LU1880383366.USD","BK4526","LU0052750758.USD","LU2097828631.EUR","LU0175139822.USD","LU0164872284.USD","LU0540923850.HKD","BK4555","09868","LU1861219969.SGD","LU0819123356.HKD","LU0254981946.USD","LU0359201885.HKD","LU1794554557.SGD","HYDD.SI","LU1251922891.USD","LU0084288322.USD","LU0128522744.USD","LU0259732245.USD","LU0708995153.HKD","LU0505663152.USD","BK4551","LU0348735423.USD","SG9999006514.SGD","LU0449509016.USD","LU1303224171.USD","LU2097828474.EUR","BK1522","LU0708995583.HKD","LU0979878070.USD","LU2039709279.SGD","LU0588545730.USD","LU0143863784.USD","LU0823039010.USD","LU2357125470.USD","LU0516422440.USD","LU0289961442.SGD","LU0593848301.USD","LU2097828714.EUR","BK1119","LU0605514214.HKD","LU0043850808.USD","LU0856984785.SGD","LU1328277881.USD","SG9999006597.SGD","LU2399975544.HKD","LU0165289439.USD","IE00BZ08YR35.GBP","LU1719994722.HKD","SG9999002828.SGD","LU0289960550.SGD","81211","LU0543330566.HKD","LU0269904917.USD","BK1582","LU0289739343.SGD","LU0307460666.USD","LU1880383440.USD","EVS.SI","LU1023057109.AUD","LU2360107325.USD","LU2506951792.HKD","SG9999015986.USD","LU0511384066.AUD","LU0348827113.USD","002594","LU0214875030.USD","LU1242518931.SGD","LU2476274308.USD","LU1770034418.SGD","SG9999015952.SGD","BK1610","LU0572944931.SGD","LU0417516902.SGD","SG9999002463.SGD","LU0211977185.USD","LU0823426480.USD","LU2778985437.USD","LU0417516738.SGD"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648597846","title":"Xpeng's He echoes Nio's Li on China NEV penetration topping 90%","url":"https://stock-news.laohu8.com/highlight/detail?id=2648597846","media":"CnEVPost","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648597846?lang=en_us&edition=fundamental","pubTime":"2026-07-03 15:05","pubTimestamp":1783062332,"startTime":"0","endTime":"0","summary":"Xpeng chairman He Xiaopeng expects China's NEV penetration to exceed 90% by 2030.","market":"nz","thumbnail":"data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E","type":0,"news_type":0,"thumbnails":["data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E"],"rights":{"source":"cnevpost_highlight","url":"https://cnevpost.com/2026/07/03/xpeng-he-echoes-nio-li-china-nev-penetration/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://cnevpost.com/2026/07/03/xpeng-he-echoes-nio-li-china-nev-penetration/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"cnevpost_highlight","symbols":["BK4574","NIO.SI","BK4532","BK4505","LU0708995583.HKD","BK4581","XPEG","09866","NIOG","EVS.SI","BK4509","BK4588","09868","BK4504","BK4531","NIO","BK4585","BK4551","BK4534","BK4548","BK4526","LU0052750758.USD","XPEV","BK4099","LU0320764599.SGD","BK4555"],"isVideo":false,"video":null,"gpt_icon":0},{"id":"2648978655","title":"Xpeng to lift GX output 10% this month, eyes top-three segment spot","url":"https://stock-news.laohu8.com/highlight/detail?id=2648978655","media":"CnEVPost","labels":["dataReport"],"top":-1,"itemType":null,"share":"https://ttm.financial/m/news/2648978655?lang=en_us&edition=fundamental","pubTime":"2026-07-03 13:57","pubTimestamp":1783058231,"startTime":"0","endTime":"0","summary":"Xpeng GX delivered 6,739 units in June, with the 10,000th vehicle rolling off the line on July 1.","market":"nz","thumbnail":"data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E","type":0,"news_type":0,"thumbnails":["data:image/svg+xml,%3Csvg%20xmlns='http://www.w3.org/2000/svg'%20viewBox='0%200%20480%20270'%3E%3C/svg%3E"],"rights":{"source":"cnevpost_highlight","url":"https://cnevpost.com/2026/07/03/xpeng-lift-gx-output-this-month/","rn_cache_url":null,"directOrigin":true},"property":[],"language":"en","translate_title":"","themeId":null,"theme_name":"","theme_type":"","isJumpTheme":false,"source_url":"https://cnevpost.com/2026/07/03/xpeng-lift-gx-output-this-month/","is_publish_highlight":false,"source_rank":0,"column":"","sentiment":"0","news_top_title":null,"news_tag":"dataReport","news_rank":0,"length":0,"strategy_id":0,"source":"cnevpost_highlight","symbols":["BK4526","BK4505","09868","BK4099","EVS.SI","BK4555","XPEV","BK4551","XPEG"],"isVideo":false,"video":null,"gpt_icon":0}],"pageSize":20,"totalPage":20,"pageCount":13,"totalSize":400,"code":"91000000","status":"200"}]}}