Li Auto (LI) Cash & Equivalents (2018 - 2026)
Li Auto's Cash & Equivalents was $5.91 billion in Q2 2026, down 14.9% from $6.95 billion a year earlier and down 4.7% from the prior quarter.
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Analysis
Li Auto (LI) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Li Auto came in at $8.11 billion, down 10.2% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 42.8% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $9.03 billion in FY2024 (-29.8%), $12.86 billion in FY2023 (+130.6%), $5.58 billion in FY2022 (+27.6%) and $4.37 billion in FY2021 (+220.4%).
- The Q2 2026 figure marks the lowest quarterly Cash & Equivalents since Q4 2022.
- Compared with a year earlier, Cash & Equivalents has declined for seven straight quarters, with an average decline of 21.3% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q1 2022 (growth of 445.7%); the worst was Q1 2025 (a decline of 37.8%).
- Per Business Quant data, LI's Cash & Equivalents in the three quarters before Q2 2026 was $6.21 billion (Q1 2026), $7.99 billion (Q4 2025) and $7.18 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 33.23 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 20.13 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 1.73 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 5.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.91 Bn |
| Mar 31, 2026 | 6.21 Bn |
| Dec 31, 2025 | 7.99 Bn |
| Sep 30, 2025 | 7.18 Bn |
| Jun 30, 2025 | 6.95 Bn |
| Mar 31, 2025 | 7.34 Bn |
| Dec 31, 2024 | 9.17 Bn |
| Sep 30, 2024 | 11.06 Bn |
| Jun 30, 2024 | 11.12 Bn |
| Mar 31, 2024 | 11.79 Bn |
| Dec 31, 2023 | 12.68 Bn |
| Sep 30, 2023 | 10.00 Bn |
| Jun 30, 2023 | 8.38 Bn |
| Mar 31, 2023 | 6.35 Bn |
| Dec 31, 2022 | 5.41 Bn |
| Sep 30, 2022 | 5.27 Bn |
| Jun 30, 2022 | 5.06 Bn |
| Mar 31, 2022 | 5.06 Bn |
| Dec 31, 2021 | 4.36 Bn |
| Sep 30, 2021 | 4.98 Bn |
API Access
Li Auto Cash & Equivalents 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=cash-and-equivalents&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();