Xpeng (XPEV) Other Non-Current Assets (2019 - 2026)
Xpeng (XPEV) reported Other Non-Current Assets of $1.02 billion for Q2 2026, up 62.3% from $626.43 million a year earlier and up 29.0% from the prior quarter.
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Analysis
Xpeng (XPEV) Other Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Other Non-Current Assets of $856.04 million, up 95.0% from FY2024.
- Other Non-Current Assets has a five-year compound annual growth rate of 19.1% (FY2020 to FY2025).
- By year, Other Non-Current Assets came in at $439 million in FY2024 (-0.4%), $440.95 million in FY2023 (+182.6%), $156.02 million in FY2022 (+65.0%) and $94.57 million in FY2021 (-73.5%).
- The Q2 2026 figure ranks as the highest quarterly Other Non-Current Assets in data going back to Q4 2019.
- Year over year, Other Non-Current Assets has now increased in each of the last six quarters, with growth averaging 60.1% over the last eight quarters.
- The high point for year-over-year Other Non-Current Assets in five years was Q1 2024 (growth of 831.4%); the low point was Q4 2022 (a decline of 84.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $788.14 million (Q1 2026), $856.04 million (Q4 2025) and $658.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 9.45 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 4.97 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 3.30 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 9.47 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 868.62 Mn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 13.52 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 560.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 1.18 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 11.62 Mn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 1.02 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Bn |
| Mar 31, 2026 | 788.14 Mn |
| Dec 31, 2025 | 856.04 Mn |
| Sep 30, 2025 | 658.96 Mn |
| Jun 30, 2025 | 626.43 Mn |
| Mar 31, 2025 | 604.18 Mn |
| Dec 31, 2024 | 439.00 Mn |
| Sep 30, 2024 | 394.65 Mn |
| Jun 30, 2024 | 476.72 Mn |
| Mar 31, 2024 | 423.74 Mn |
| Dec 31, 2023 | 440.95 Mn |
| Sep 30, 2023 | 156.20 Mn |
| Jun 30, 2023 | 93.21 Mn |
| Mar 31, 2023 | 45.49 Mn |
| Dec 31, 2022 | 14.94 Mn |
| Sep 30, 2022 | 24.38 Mn |
| Jun 30, 2022 | 44.76 Mn |
| Mar 31, 2022 | 77.96 Mn |
| Dec 31, 2021 | 95.41 Mn |
| Sep 30, 2021 | 128.76 Mn |
API Access
Xpeng Other Non-Current Assets 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=other-non-current-assets&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();