Xpeng (XPEV) Total Current Liabilities (2019 - 2026)
Xpeng's Total Current Liabilities was $8.15 billion in Q2 2026, up 21.7% from $6.7 billion a year earlier and up 5.4% from the prior quarter.
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Analysis
Xpeng (XPEV) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Xpeng came in at $8.31 billion, up 52.2% from FY2024.
- Total Current Liabilities has now increased for six consecutive years, with a five-year compound annual growth rate of 47.2% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $5.46 billion in FY2024 (+7.4%), $5.09 billion in FY2023 (+45.5%), $3.5 billion in FY2022 (+23.7%) and $2.83 billion in FY2021 (+135.3%).
- Quarterly Total Current Liabilities has moved between $2.02 billion (Q3 2021) and $8.19 billion (Q4 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for eight straight quarters, with growth averaging 34.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 4.1% (Q1 2023) to 138.2% (Q4 2021).
- Per Business Quant data, XPEV's Total Current Liabilities in the three quarters before Q2 2026 was $7.73 billion (Q1 2026), $8.19 billion (Q4 2025) and $7.52 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 35.43 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 208.54 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 64.48 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 96.83 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | - |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 107.93 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 3.62 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 101.34 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 8.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.15 Bn |
| Mar 31, 2026 | 7.73 Bn |
| Dec 31, 2025 | 8.19 Bn |
| Sep 30, 2025 | 7.52 Bn |
| Jun 30, 2025 | 6.70 Bn |
| Mar 31, 2025 | 5.92 Bn |
| Dec 31, 2024 | 5.55 Bn |
| Sep 30, 2024 | 4.56 Bn |
| Jun 30, 2024 | 4.10 Bn |
| Mar 31, 2024 | 4.64 Bn |
| Dec 31, 2023 | 5.02 Bn |
| Sep 30, 2023 | 4.15 Bn |
| Mar 31, 2023 | 3.30 Bn |
| Dec 31, 2022 | 3.39 Bn |
| Sep 30, 2022 | 3.27 Bn |
| Jun 30, 2022 | 3.31 Bn |
| Mar 31, 2022 | 3.17 Bn |
| Dec 31, 2021 | 2.82 Bn |
| Sep 30, 2021 | 2.02 Bn |
| Jun 30, 2021 | 1.47 Bn |
API Access
Xpeng Total Current 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-current-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();