Li Auto (LI) Intangibles (2019 - 2026)
Li Auto (LI) reported Intangibles of $171.78 million for Q2 2026, up 31.8% from $130.34 million a year earlier and up 1.1% from the prior quarter.
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Analysis
Li Auto (LI) Intangibles (2019 - 2026) Analysis & Trends
At the end of FY2025, Li Auto posted Intangibles of $170.45 million, up 36.0% from FY2024.
- Intangibles has increased for six consecutive years, with a five-year compound annual growth rate of 10.2% (FY2020 to FY2025).
- By year, Intangibles came in at $125.35 million in FY2024 (+3.0%), $121.72 million in FY2023 (+0.8%), $120.72 million in FY2022 (+2.4%) and $117.92 million in FY2021 (+12.6%).
- The Q2 2026 figure ranks as the highest quarterly Intangibles in data going back to Q4 2019.
- Year over year, Intangibles has now increased in each of the last nine quarters, with growth averaging 16.0% over the last eight quarters.
- The high point for year-over-year Intangibles in five years was Q1 2026 (growth of 32.7%); the low point was Q2 2023 (a decline of 3.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $169.92 million (Q1 2026), $168.06 million (Q4 2025) and $131.73 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 674.00 Mn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 8.58 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 4.91 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | - |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 1.98 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 | 430.00 Mn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 18.36 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 171.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.78 Mn |
| Mar 31, 2026 | 169.92 Mn |
| Dec 31, 2025 | 168.06 Mn |
| Sep 30, 2025 | 131.73 Mn |
| Jun 30, 2025 | 130.34 Mn |
| Mar 31, 2025 | 128.00 Mn |
| Dec 31, 2024 | 127.38 Mn |
| Sep 30, 2024 | 129.74 Mn |
| Jun 30, 2024 | 122.77 Mn |
| Mar 31, 2024 | 121.96 Mn |
| Dec 31, 2023 | 120.02 Mn |
| Sep 30, 2023 | 115.34 Mn |
| Jun 30, 2023 | 115.84 Mn |
| Mar 31, 2023 | 122.41 Mn |
| Dec 31, 2022 | 117.07 Mn |
| Sep 30, 2022 | 116.97 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 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=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();