Xpeng (XPEV) Non-Current Debt (2019 - 2026)
Xpeng's Non-Current Debt was $1.32 billion in Q2 2026, up 63.7% from $808.89 million a year earlier and up 1.4% from the prior quarter.
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Analysis
Xpeng (XPEV) Non-Current Debt (2019 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Debt at Xpeng came in at $942.2 million, up 21.4% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In earlier years, Non-Current Debt was $776.04 million in FY2024 (-2.5%), $795.9 million in FY2023 (+19.0%), $668.83 million in FY2022 (+154.4%) and $262.86 million in FY2021 (+4.3%).
- The Q2 2026 figure marks the highest quarterly Non-Current Debt in data going back to Q4 2019.
- Compared with a year earlier, Non-Current Debt has increased for three straight quarters, with growth averaging 20.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was Q4 2022 (growth of 147.6%); the worst was Q3 2021 (a decline of 16.4%).
- Per Business Quant data, XPEV's Non-Current Debt in the three quarters before Q2 2026 was $1.31 billion (Q1 2026), $928.98 million (Q4 2025) and $901.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (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 | 163.65 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 1.95 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 90.69 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 3.68 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 109.63 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 4.44 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 4.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 60.51 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.32 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 928.98 Mn |
| Sep 30, 2025 | 901.59 Mn |
| Jun 30, 2025 | 808.89 Mn |
| Mar 31, 2025 | 805.33 Mn |
| Dec 31, 2024 | 788.59 Mn |
| Sep 30, 2024 | 908.80 Mn |
| Jun 30, 2024 | 737.41 Mn |
| Mar 31, 2024 | 752.45 Mn |
| Dec 31, 2023 | 784.82 Mn |
| Sep 30, 2023 | 880.10 Mn |
| Mar 31, 2023 | 744.49 Mn |
| Dec 31, 2022 | 648.61 Mn |
| Sep 30, 2022 | 448.53 Mn |
| Jun 30, 2022 | 389.70 Mn |
| Mar 31, 2022 | 355.99 Mn |
| Dec 31, 2021 | 262.00 Mn |
| Sep 30, 2021 | 205.43 Mn |
| Jun 30, 2021 | 247.19 Mn |
API Access
Xpeng Non-Current Debt 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-debt&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();