Xpeng (XPEV) Goodwill & Intangibles (2019 - 2026)
Xpeng (XPEV) posted Goodwill & Intangibles of $585.26 million for Q2 2026, down 2.3% from $599.16 million a year earlier and down 2.0% from the prior quarter.
Xpeng (XPEV) Goodwill & Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Xpeng's Goodwill & Intangibles came in at $604.47 million, up 876.8% from FY2024.
- Annual Goodwill & Intangibles has increased for three consecutive years, with a five-year compound annual growth rate of 45.4% (FY2020 to FY2025).
- In prior years, Xpeng's Goodwill & Intangibles was $61.88 million in FY2024 (+2.2%), $60.56 million in FY2023 (+9.4%), $55.34 million in FY2022 (-59.4%) and $136.23 million in FY2021 (+46.3%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q4 2024.
- On a year-over-year basis, Goodwill & Intangibles increased in three of the last eight quarters, with growth averaging 150.1%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q4 2025, with growth of 876.8%; the weakest was Q4 2022, with a decline of 59.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $597.28 million (Q1 2026), $604.47 million (Q4 2025) and $589.1 million (Q3 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 585.26 Mn |
| Mar 31, 2026 | 597.28 Mn |
| Dec 31, 2025 | 604.47 Mn |
| Sep 30, 2025 | 589.10 Mn |
| Jun 30, 2025 | 599.16 Mn |
| Mar 31, 2025 | 616.43 Mn |
| Dec 31, 2024 | 61.88 Mn |
| Sep 30, 2024 | 651.52 Mn |
| Jun 30, 2024 | 649.95 Mn |
| Mar 31, 2024 | 675.82 Mn |
| Dec 31, 2023 | 60.56 Mn |
| Sep 30, 2023 | 143.80 Mn |
| Jun 30, 2023 | 155.00 Mn |
| Mar 31, 2023 | 163.00 Mn |
| Dec 31, 2022 | 55.34 Mn |
| Sep 30, 2022 | 125.47 Mn |
| Jun 30, 2022 | 130.86 Mn |
| Mar 31, 2022 | 139.21 Mn |
| Dec 31, 2021 | 137.44 Mn |
| Sep 30, 2021 | 132.46 Mn |
Xpeng Goodwill & 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=goodwill-and-intangibles&ticker=XPEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=XPEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();