Xpeng (XPEV) Long-Term Investments (2020 - 2026)
Xpeng's Long-Term Investments was $397.73 million in Q2 2026, up 34.2% from $296.41 million a year earlier but down 2.6% from the prior quarter.
Xpeng (XPEV) Long-Term Investments (2020 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Xpeng came in at $355.73 million, up 30.2% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of 371.3% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $273.31 million in FY2024 (-5.6%), $289.57 million in FY2023 (-10.3%), $322.69 million in FY2022 (+34.4%) and $240.17 million in FY2021.
- Quarterly Long-Term Investments has moved between $6.96 million (Q3 2021) and $408.48 million (Q1 2026) over five years.
- Compared with a year earlier, Long-Term Investments has increased for six straight quarters, with growth averaging 13.3% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q1 2026 (growth of 42.7%); the worst was Q3 2024 (a decline of 24.3%).
- Per Business Quant data, XPEV's Long-Term Investments in the three quarters before Q2 2026 was $408.48 million (Q1 2026), $355.73 million (Q4 2025) and $323.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (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 | 34.75 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 7.35 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 5.66 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | - |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 2.76 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 697.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 1.25 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 15.20 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 397.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 397.73 Mn |
| Mar 31, 2026 | 408.48 Mn |
| Dec 31, 2025 | 355.73 Mn |
| Sep 30, 2025 | 323.16 Mn |
| Jun 30, 2025 | 296.41 Mn |
| Mar 31, 2025 | 286.34 Mn |
| Dec 31, 2024 | 273.31 Mn |
| Sep 30, 2024 | 258.82 Mn |
| Jun 30, 2024 | 284.81 Mn |
| Mar 31, 2024 | 285.67 Mn |
| Dec 31, 2023 | 289.57 Mn |
| Sep 30, 2023 | 341.69 Mn |
| Jun 30, 2023 | 338.59 Mn |
| Mar 31, 2023 | 331.55 Mn |
| Dec 31, 2022 | 322.69 Mn |
| Sep 30, 2022 | 336.15 Mn |
| Jun 30, 2022 | 304.45 Mn |
| Mar 31, 2022 | 259.50 Mn |
| Dec 31, 2021 | 242.31 Mn |
| Sep 30, 2021 | 6.96 Mn |
Xpeng Long-Term Investments 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=long-term-investments&ticker=XPEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();