Xpeng (XPEV) Other Non-Current Liabilities (2019 - 2026)
Xpeng (XPEV) reported Other Non-Current Liabilities of $277.95 million for Q2 2026, up 33.8% from $207.66 million a year earlier and up 13.0% from the prior quarter.
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Analysis
Xpeng (XPEV) Other Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Other Non-Current Liabilities of $224.26 million, down 33.1% from FY2024.
- Other Non-Current Liabilities has a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- By year, Other Non-Current Liabilities came in at $335.07 million in FY2024 (+1.8%), $329.11 million in FY2023 (-9.4%), $363.35 million in FY2022 (+7.8%) and $337.09 million in FY2021 (+639.5%).
- The Q2 2026 figure ranks as the highest quarterly Other Non-Current Liabilities since Q1 2025.
- Year over year, Other Non-Current Liabilities gained in four of the last eight quarters, with an average decline of 8.3%.
- The high point for year-over-year Other Non-Current Liabilities in five years was Q4 2021 (growth of 648.6%); the low point was Q3 2025 (a decline of 38.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $245.99 million (Q1 2026), $221.12 million (Q4 2025) and $220.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 277.95 Mn |
| Mar 31, 2026 | 245.99 Mn |
| Dec 31, 2025 | 221.12 Mn |
| Sep 30, 2025 | 220.66 Mn |
| Jun 30, 2025 | 207.66 Mn |
| Mar 31, 2025 | 351.98 Mn |
| Dec 31, 2024 | 340.49 Mn |
| Sep 30, 2024 | 357.57 Mn |
| Jun 30, 2024 | 334.86 Mn |
| Mar 31, 2024 | 327.82 Mn |
| Dec 31, 2023 | 324.53 Mn |
| Sep 30, 2023 | 277.26 Mn |
| Mar 31, 2023 | 283.02 Mn |
| Dec 31, 2022 | 352.37 Mn |
| Sep 30, 2022 | 346.27 Mn |
| Jun 30, 2022 | 359.51 Mn |
| Mar 31, 2022 | 349.32 Mn |
| Dec 31, 2021 | 335.99 Mn |
| Sep 30, 2021 | 320.95 Mn |
| Jun 30, 2021 | 311.25 Mn |
API Access
Xpeng Other Non-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=other-non-current-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-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=other-non-current-liabilities&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();