Xpeng (XPEV) Non-Current Assets (2019 - 2026)
Xpeng's Non-Current Assets came in at $5.89 billion for Q2 2026, up 13.1% from $5.21 billion a year earlier and up 1.1% from the prior quarter.
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Analysis
Xpeng (XPEV) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng's Non-Current Assets was $5.63 billion, up 22.6% from FY2024.
- Non-Current Assets has increased in each of the last six years, with a five-year compound annual growth rate of 48.8% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $4.59 billion in FY2024 (+11.5%), $4.12 billion in FY2023 (+4.7%), $3.93 billion in FY2022 (+50.8%) and $2.61 billion in FY2021 (+238.5%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q4 2019.
- Year-over-year, Non-Current Assets has increased for nine consecutive quarters, with growth averaging 19.0% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2021 (growth of 246.8%), and the weakest in Q2 2023 (a decline of 6.4%).
- Business Quant data shows XPEV's Non-Current Assets at $5.82 billion (Q1 2026), $5.63 billion (Q4 2025) and $5.39 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,308.46 Bn | 1,143.02 Bn | 4.75 Bn | 79.77 Bn |
| 2 | Ferrari | 146.09 Bn | 138.59 Bn | 1.18 Bn | 5.71 Bn |
| 3 | General Motors | 70.02 Bn | -32.88 Bn | 9.28 Bn | 173.32 Bn |
| 4 | Honda Motor | 50.89 Bn | -97.27 Bn | 8.46 Bn | 130.83 Bn |
| 5 | Ford Motor | 46.73 Bn | -95.73 Bn | 6.08 Bn | 168.04 Bn |
| 6 | Toyota Motor | 25.22 Bn | -375.60 Bn | 20.95 Bn | 393.91 Bn |
| 7 | Magna International | 17.94 Bn | 12.30 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 15.89 Bn | -7.39 Bn | 179.00 Mn | 7.52 Bn |
| 9 | Stellantis | 13.62 Bn | -147.29 Bn | 3.94 Bn | 144.56 Bn |
| 10 | Xpeng | 8.91 Bn | 8.91 Bn | 599.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.81 Bn |
| Dec 31, 2025 | 5.70 Bn |
| Sep 30, 2025 | 5.39 Bn |
| Mar 31, 2025 | 5.08 Bn |
| Dec 31, 2024 | 4.52 Bn |
| Sep 30, 2024 | 4.63 Bn |
| Mar 31, 2024 | 4.10 Bn |
| Dec 31, 2023 | 4.17 Bn |
| Sep 30, 2023 | 3.68 Bn |
| Mar 31, 2023 | 4.28 Bn |
| Dec 31, 2022 | 4.02 Bn |
| Sep 30, 2022 | 3.91 Bn |
| Mar 31, 2022 | 3.30 Bn |
| Dec 31, 2021 | 2.64 Bn |
| Sep 30, 2021 | 1.76 Bn |
| Jun 30, 2021 | 1.47 Bn |
| Mar 31, 2021 | 995.62 Mn |
| Dec 31, 2020 | 770.83 Mn |
| Sep 30, 2020 | 667.91 Mn |
| Dec 31, 2019 | 614.21 Mn |
API Access
Xpeng 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=non-current-assets&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=non-current-assets&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();