Xpeng (XPEV) Accumulated Expenses (2018 - 2026)
Xpeng (XPEV) posted Accumulated Expenses of $1.77 billion for Q4 2025, up 46.8% from $1.2 billion a year earlier.
Analysis
Xpeng (XPEV) Accumulated Expenses (2018 - 2026) 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 | 1,160.73 Bn | 982.96 Bn | 5.49 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn |
| 10 | Xpeng | 9.74 Bn | 9.74 Bn | 599.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.84 Bn |
| Mar 31, 2026 | 1.80 Bn |
| Dec 31, 2025 | 1.79 Bn |
| Sep 30, 2025 | 1.50 Bn |
| Jun 30, 2025 | 1.37 Bn |
| Mar 31, 2025 | 1.14 Bn |
| Dec 31, 2024 | 1.19 Bn |
| Sep 30, 2024 | 1.05 Bn |
| Jun 30, 2024 | 827.73 Mn |
| Mar 31, 2024 | 880.01 Mn |
| Dec 31, 2023 | 1.07 Bn |
| Sep 30, 2023 | 913.87 Mn |
| Jun 30, 2023 | 855.42 Mn |
| Mar 31, 2023 | 849.65 Mn |
| Dec 31, 2022 | 801.92 Mn |
| Sep 30, 2022 | 739.57 Mn |
| Jun 30, 2022 | 744.92 Mn |
| Mar 31, 2022 | 754.88 Mn |
| Dec 31, 2021 | 755.03 Mn |
| Sep 30, 2021 | 545.68 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_KEY
import 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();