Xpeng (XPEV) Total Liabilities (2019 - 2026)
Xpeng (XPEV) posted Total Liabilities of $10.99 billion for Q2 2026, up 26.8% from $8.67 billion a year earlier and up 4.8% from the prior quarter.
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Analysis
Xpeng (XPEV) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng's Total Liabilities came in at $10.41 billion, up 47.7% from FY2024.
- Annual Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 8.4% (FY2020 to FY2025).
- In prior years, Xpeng's Total Liabilities was $7.05 billion in FY2024 (+4.6%), $6.74 billion in FY2023 (+34.4%), $5.01 billion in FY2022 (+35.9%) and $3.69 billion in FY2021 (-47.0%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2019.
- On a year-over-year basis, Total Liabilities has increased in each of the last eight quarters, with growth averaging 31.4% over the last eight quarters.
- The year-over-year growth in Total Liabilities has ranged between 7.8% (Q4 2024) and 137.1% (Q4 2021) over the last five years.
- According to Business Quant data, Total Liabilities for the three prior quarters was $10.49 billion (Q1 2026), $10.26 billion (Q4 2025) and $9.55 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 61.06 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 404.08 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 136.83 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 219.10 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 7.62 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 249.78 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 10.01 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 176.31 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 10.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.99 Bn |
| Mar 31, 2026 | 10.49 Bn |
| Dec 31, 2025 | 10.26 Bn |
| Sep 30, 2025 | 9.55 Bn |
| Jun 30, 2025 | 8.67 Bn |
| Mar 31, 2025 | 8.02 Bn |
| Dec 31, 2024 | 7.16 Bn |
| Sep 30, 2024 | 6.33 Bn |
| Jun 30, 2024 | 5.64 Bn |
| Mar 31, 2024 | 6.26 Bn |
| Dec 31, 2023 | 6.64 Bn |
| Sep 30, 2023 | 5.77 Bn |
| Mar 31, 2023 | 4.82 Bn |
| Dec 31, 2022 | 4.86 Bn |
| Sep 30, 2022 | 4.55 Bn |
| Jun 30, 2022 | 4.44 Bn |
| Mar 31, 2022 | 4.17 Bn |
| Dec 31, 2021 | 3.68 Bn |
| Sep 30, 2021 | 2.73 Bn |
| Jun 30, 2021 | 2.16 Bn |
API Access
Xpeng Total Liabilities 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=total-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();