Li Auto (LI) Cost of Revenue (2020 - 2026)
Li Auto (LI) posted Cost of Revenue of $3.36 billion for Q2 2026, down 0.3% from $3.38 billion a year earlier but up 9.6% from the prior quarter.
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Analysis
Li Auto (LI) Cost of Revenue (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Li Auto was $13.03 billion, down 17.8% year-over-year; for FY2025, it came in at $15.26 billion, down 19.6% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 66.1% (FY2020 to FY2025).
- In prior years, Li Auto's Cost of Revenue was $18.98 billion in FY2024 (+12.0%), $16.94 billion in FY2023 (+165.0%), $6.39 billion in FY2022 (+56.0%) and $4.1 billion in FY2021 (+239.7%).
- Quarterly Cost of Revenue has run from a low of $925.48 million in Q3 2021 to a high of $4.84 billion in Q4 2024 over five years.
- On a year-over-year basis, Cost of Revenue increased in four of the last eight quarters, with an average decline of 2.7%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q3 2023, with growth of 223.0%; the weakest was Q3 2025, with a decline of 32.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $3.07 billion (Q1 2026), $3.38 billion (Q4 2025) and $3.22 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 23.49 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 63.91 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 29.57 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 40.70 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 1.07 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 42.22 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 1.48 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 9.37 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 44.99 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 3.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.36 Bn |
| Mar 31, 2026 | 3.07 Bn |
| Dec 31, 2025 | 3.38 Bn |
| Sep 30, 2025 | 3.22 Bn |
| Jun 30, 2025 | 3.38 Bn |
| Mar 31, 2025 | 2.84 Bn |
| Dec 31, 2024 | 4.84 Bn |
| Sep 30, 2024 | 4.80 Bn |
| Jun 30, 2024 | 3.51 Bn |
| Mar 31, 2024 | 2.82 Bn |
| Dec 31, 2023 | 4.50 Bn |
| Sep 30, 2023 | 3.71 Bn |
| Jun 30, 2023 | 3.09 Bn |
| Mar 31, 2023 | 2.18 Bn |
| Dec 31, 2022 | 2.04 Bn |
| Sep 30, 2022 | 1.15 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.17 Bn |
| Dec 31, 2021 | 1.29 Bn |
| Sep 30, 2021 | 925.48 Mn |
API Access
Li Auto Cost of Revenue 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=cost-of-revenue&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();