Xpeng (XPEV) Intangibles (2019 - 2026)
Xpeng's Intangibles was $585.26 million in Q2 2026, down 2.3% from $599.16 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Xpeng (XPEV) Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Intangibles at Xpeng came in at $599.67 million, up 949.6% from FY2024.
- Intangibles has now increased for three consecutive years, with a five-year compound annual growth rate of 45.1% (FY2020 to FY2025).
- In earlier years, Intangibles was $57.13 million in FY2024 (+2.4%), $55.82 million in FY2023 (+0.9%), $55.34 million in FY2022 (-59.4%) and $136.23 million in FY2021 (+46.3%).
- The Q2 2026 figure marks the lowest quarterly Intangibles since Q4 2024.
- Compared with a year earlier, Intangibles was higher in three of the last eight quarters, with growth averaging 159.8%.
- The best year-over-year quarter for Intangibles over five years was Q4 2025 (growth of 949.6%); the worst was Q4 2022 (a decline of 59.7%).
- Per Business Quant data, XPEV's Intangibles in the three quarters before Q2 2026 was $597.28 million (Q1 2026), $599.67 million (Q4 2025) and $592.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,290.56 Bn | 1,116.59 Bn | 4.75 Bn | 674.00 Mn |
| 2 | General Motors | 75.92 Bn | -28.69 Bn | 9.28 Bn | - |
| 3 | Ferrari | 70.49 Bn | 62.98 Bn | 1.18 Bn | 1.95 Bn |
| 4 | Ford Motor | 48.56 Bn | -93.94 Bn | 6.08 Bn | - |
| 5 | Honda Motor | 45.16 Bn | -104.65 Bn | 8.46 Bn | - |
| 6 | Toyota Motor | 25.15 Bn | -381.35 Bn | 20.95 Bn | - |
| 7 | Magna International | 17.88 Bn | 11.90 Bn | 1.61 Bn | 430.00 Mn |
| 8 | Rivian Automotive | 17.21 Bn | -4.51 Bn | 176.00 Mn | - |
| 9 | Stellantis | 13.31 Bn | -148.13 Bn | 3.94 Bn | 18.19 Bn |
| 10 | Xpeng | 8.56 Bn | 8.56 Bn | 599.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 596.11 Mn |
| Dec 31, 2025 | 607.93 Mn |
| Sep 30, 2025 | 592.23 Mn |
| Mar 31, 2025 | 615.91 Mn |
| Dec 31, 2024 | 631.74 Mn |
| Sep 30, 2024 | 652.20 Mn |
| Mar 31, 2024 | 668.73 Mn |
| Dec 31, 2023 | 696.35 Mn |
| Sep 30, 2023 | 142.49 Mn |
| Mar 31, 2023 | 162.31 Mn |
| Dec 31, 2022 | 149.79 Mn |
| Sep 30, 2022 | 125.29 Mn |
| Mar 31, 2022 | 139.22 Mn |
| Dec 31, 2021 | 137.90 Mn |
| Sep 30, 2021 | 132.99 Mn |
| Jun 30, 2021 | 132.89 Mn |
| Mar 31, 2021 | 92.19 Mn |
| Dec 31, 2020 | 93.19 Mn |
| Sep 30, 2020 | 89.45 Mn |
| Dec 31, 2019 | 16.88 Mn |
API Access
Xpeng Intangibles 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=intangibles&ticker=XPEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();