Li Auto (LI) Total Non-Current Liabilities (2018 - 2026)
Li Auto's Total Non-Current Liabilities came in at $2.98 billion for Q2 2026, up 29.9% from $2.3 billion a year earlier and up 15.8% from the prior quarter.
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Analysis
Li Auto (LI) Total Non-Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, Li Auto's Total Non-Current Liabilities was $2.52 billion, down 15.7% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 48.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $2.99 billion in FY2024 (+109.0%), $1.43 billion in FY2023 (-29.5%), $2.03 billion in FY2022 (+48.9%) and $1.36 billion in FY2021 (+294.6%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 38.5%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 337.5%), and the weakest in Q2 2023 (a decline of 45.2%).
- Business Quant data shows LI's Total Non-Current Liabilities at $2.58 billion (Q1 2026), $2.48 billion (Q4 2025) and $2.44 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn | 5.36 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn | 122.27 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn | 5.63 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn | 2.98 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.98 Bn |
| Mar 31, 2026 | 2.58 Bn |
| Dec 31, 2025 | 2.48 Bn |
| Sep 30, 2025 | 2.44 Bn |
| Jun 30, 2025 | 2.30 Bn |
| Mar 31, 2025 | 3.04 Bn |
| Dec 31, 2024 | 3.04 Bn |
| Sep 30, 2024 | 2.83 Bn |
| Jun 30, 2024 | 2.66 Bn |
| Mar 31, 2024 | 1.70 Bn |
| Dec 31, 2023 | 1.41 Bn |
| Sep 30, 2023 | 1.16 Bn |
| Jun 30, 2023 | 983.93 Mn |
| Mar 31, 2023 | 1.98 Bn |
| Dec 31, 2022 | 1.97 Bn |
| Sep 30, 2022 | 1.85 Bn |
| Jun 30, 2022 | 1.80 Bn |
| Mar 31, 2022 | 1.64 Bn |
| Dec 31, 2021 | 1.36 Bn |
| Sep 30, 2021 | 1.35 Bn |
API Access
Li Auto Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();