Xpeng (XPEV) Receivables (2019 - 2026)
Xpeng's Receivables was $191.76 million in Q2 2026, down 23.7% from $251.33 million a year earlier but up 10.4% from the prior quarter.
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Analysis
Xpeng (XPEV) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Xpeng came in at $295.96 million, down 14.7% from FY2024.
- Receivables has now declined for three consecutive years, though with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- In earlier years, Receivables was $347.11 million in FY2024 (-45.6%), $638.6 million in FY2023 (-12.1%), $726.57 million in FY2022 (+73.2%) and $419.56 million in FY2021 (+142.4%).
- Quarterly Receivables has moved between $173.65 million (Q1 2026) and $552.13 million (Q1 2023) over five years.
- Compared with a year earlier, Receivables has declined for five straight quarters, with an average decline of 19.5% over the last eight quarters.
- The best year-over-year quarter for Receivables over five years was Q3 2021 (growth of 148.5%); the worst was Q1 2024 (a decline of 48.1%).
- Per Business Quant data, XPEV's Receivables in the three quarters before Q2 2026 was $173.65 million (Q1 2026), $295.96 million (Q4 2025) and $233.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 4.09 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 113.60 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 7.19 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 16.77 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 539.53 Mn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 17.88 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 370.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 8.38 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 8.65 Bn |
| 10 | Xpeng | 9.11 Bn | -1.64 Bn | 601.83 Mn | 191.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.76 Mn |
| Mar 31, 2026 | 173.65 Mn |
| Dec 31, 2025 | 295.96 Mn |
| Sep 30, 2025 | 233.11 Mn |
| Jun 30, 2025 | 251.33 Mn |
| Mar 31, 2025 | 305.35 Mn |
| Dec 31, 2024 | 347.11 Mn |
| Sep 30, 2024 | 339.15 Mn |
| Jun 30, 2024 | 299.57 Mn |
| Mar 31, 2024 | 286.49 Mn |
| Dec 31, 2023 | 378.79 Mn |
| Sep 30, 2023 | 452.39 Mn |
| Jun 30, 2023 | 516.70 Mn |
| Mar 31, 2023 | 552.13 Mn |
| Dec 31, 2022 | 542.52 Mn |
| Sep 30, 2022 | 528.85 Mn |
| Jun 30, 2022 | 539.13 Mn |
| Mar 31, 2022 | 493.12 Mn |
| Dec 31, 2021 | 423.29 Mn |
| Sep 30, 2021 | 323.91 Mn |
API Access
Xpeng Receivables 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=receivables&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();