Xpeng (XPEV) Cash & Equivalents (2019 - 2026)
Xpeng (XPEV) reported Cash & Equivalents of $2.09 billion for Q2 2026, down 19.6% from $2.6 billion a year earlier and down 0.3% from the prior quarter.
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Analysis
Xpeng (XPEV) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Cash & Equivalents of $2.44 billion, down 5.6% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -11.4% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $2.59 billion in FY2024 (-23.3%), $3.38 billion in FY2023 (+63.1%), $2.07 billion in FY2022 (-57.7%) and $4.89 billion in FY2021 (+9.2%).
- The Q2 2026 figure ranks as the lowest quarterly Cash & Equivalents since Q3 2024.
- Year over year, Cash & Equivalents has now declined in each of the last three quarters, with growth averaging 5.5% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2023 (growth of 63.1%); the low point was Q1 2022 (a decline of 69.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.1 billion (Q1 2026), $2.44 billion (Q4 2025) and $2.46 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 17.85 Bn |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 23.20 Bn |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 1.96 Bn |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 22.28 Bn |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 32.71 Bn |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 60.26 Bn |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | 3.51 Bn |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 1.38 Bn |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | 32.94 Bn |
| 10 | Xpeng | 9.74 Bn | 9.74 Bn | 599.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.09 Bn |
| Dec 31, 2025 | 2.48 Bn |
| Sep 30, 2025 | 2.46 Bn |
| Mar 31, 2025 | 2.45 Bn |
| Dec 31, 2024 | 2.55 Bn |
| Sep 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 2.01 Bn |
| Dec 31, 2023 | 2.97 Bn |
| Sep 30, 2023 | 1.67 Bn |
| Mar 31, 2023 | 1.28 Bn |
| Dec 31, 2022 | 2.10 Bn |
| Sep 30, 2022 | 1.60 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 1.73 Bn |
| Sep 30, 2021 | 2.39 Bn |
| Jun 30, 2021 | 2.39 Bn |
| Mar 31, 2021 | 4.74 Bn |
| Dec 31, 2020 | 4.48 Bn |
| Sep 30, 2020 | 1.80 Bn |
| Dec 31, 2019 | 278.70 Mn |
API Access
Xpeng Cash & Equivalents 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=cash-and-equivalents&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();