Xpeng (XPEV) Receivables - Net (2019 - 2026)
Xpeng (XPEV) reported Receivables - Net of $167.46 million for Q2 2026, down 31.3% from $243.93 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Xpeng (XPEV) Receivables - Net (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng posted Receivables - Net of $281.55 million, down 17.4% from FY2024.
- Receivables - Net has declined for three consecutive years, though with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Receivables - Net came in at $341.03 million in FY2024 (-9.6%), $377.25 million in FY2023 (-30.7%), $544.54 million in FY2022 (+31.4%) and $414.48 million in FY2021 (+139.6%).
- Five-year quarterly Receivables - Net spans a low of $156.34 million in Q1 2026 and a high of $545.09 million in Q1 2023.
- Year over year, Receivables - Net has now declined in each of the last five quarters, with an average decline of 21.6% over the last eight quarters.
- The high point for year-over-year Receivables - Net in five years was Q4 2021 (growth of 145.5%); the low point was Q1 2024 (a decline of 48.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $156.34 million (Q1 2026), $281.55 million (Q4 2025) and $229.75 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 | 167.46 Mn |
| Mar 31, 2026 | 156.34 Mn |
| Dec 31, 2025 | 281.55 Mn |
| Sep 30, 2025 | 229.75 Mn |
| Jun 30, 2025 | 243.93 Mn |
| Mar 31, 2025 | 299.00 Mn |
| Dec 31, 2024 | 341.03 Mn |
| Sep 30, 2024 | 332.80 Mn |
| Jun 30, 2024 | 294.94 Mn |
| Mar 31, 2024 | 280.83 Mn |
| Dec 31, 2023 | 377.25 Mn |
| Sep 30, 2023 | 444.68 Mn |
| Jun 30, 2023 | 495.55 Mn |
| Mar 31, 2023 | 545.09 Mn |
| Dec 31, 2022 | 544.54 Mn |
| Sep 30, 2022 | 520.74 Mn |
| Jun 30, 2022 | 513.57 Mn |
| Mar 31, 2022 | 485.71 Mn |
| Dec 31, 2021 | 418.16 Mn |
| Sep 30, 2021 | 321.72 Mn |
API Access
Xpeng Receivables - Net 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-net&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();