Xpeng (XPEV) Accumulated Expenses (2019 - 2025)
Xpeng (XPEV) posted Accumulated Expenses of $1.77 billion for Q4 2025, up 46.8% from $1.2 billion a year earlier.
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Analysis
Xpeng (XPEV) Accumulated Expenses (2019 - 2025) Analysis & Trends
Since Q4 2019, Xpeng has reported Accumulated Expenses for 11 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 38.6% (FY2020 to FY2025).
- In prior years, Xpeng's Accumulated Expenses was $1.2 billion in FY2024 (+14.4%), $1.05 billion in FY2023, $932,000 in FY2022 (-0.6%) and $937,489 in FY2021 (-99.7%).
- The Q4 2025 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.77 Bn |
| Dec 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.05 Bn |
| Mar 31, 2023 | 936,000.00 |
| Dec 31, 2022 | 785.11 Mn |
| Sep 30, 2022 | 850,000.00 |
| Jun 30, 2022 | 903,000.00 |
| Mar 31, 2022 | 954,000.00 |
| Dec 31, 2021 | 945,808.80 |
| Dec 31, 2020 | 340.44 Mn |
| Dec 31, 2019 | 249.14 Mn |
API Access
Xpeng Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "XPEV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();