Li Auto (LI) Goodwill & Intangibles (2019 - 2026)
Li Auto (LI) posted Goodwill & Intangibles of $171.98 million for Q2 2026, up 31.2% from $131.11 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Li Auto (LI) Goodwill & Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Li Auto's Goodwill & Intangibles came in at $171.23 million, up 35.8% from FY2024.
- Annual Goodwill & Intangibles has increased for six consecutive years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior years, Li Auto's Goodwill & Intangibles was $126.1 million in FY2024 (+2.9%), $122.49 million in FY2023 (+0.8%), $121.51 million in FY2022 (+3.0%) and $117.92 million in FY2021 (+12.6%).
- The Q2 2026 figure stands as the highest quarterly Goodwill & Intangibles in data going back to Q4 2019.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last 11 quarters, with growth averaging 15.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2026, with growth of 32.0%; the weakest was Q3 2023, with a decline of 3.7%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $170.01 million (Q1 2026), $168.83 million (Q4 2025) and $131.79 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 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.98 Mn |
| Mar 31, 2026 | 170.01 Mn |
| Dec 31, 2025 | 168.83 Mn |
| Sep 30, 2025 | 131.79 Mn |
| Jun 30, 2025 | 131.11 Mn |
| Mar 31, 2025 | 128.75 Mn |
| Dec 31, 2024 | 128.14 Mn |
| Sep 30, 2024 | 130.52 Mn |
| Jun 30, 2024 | 124.00 Mn |
| Mar 31, 2024 | 123.91 Mn |
| Dec 31, 2023 | 120.79 Mn |
| Sep 30, 2023 | 117.10 Mn |
| Jun 30, 2023 | 116.60 Mn |
| Mar 31, 2023 | 123.21 Mn |
| Dec 31, 2022 | 117.84 Mn |
| Sep 30, 2022 | 121.64 Mn |
| Jun 30, 2022 | 119.73 Mn |
| Mar 31, 2022 | 120.75 Mn |
| Dec 31, 2021 | 117.54 Mn |
| Sep 30, 2021 | 109.65 Mn |
API Access
Li Auto 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=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "LI", "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=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();