Li Auto (LI) EBITDA (2020 - 2026)
Li Auto (LI) posted quarterly EBITDA of -$432.9 million for Q1 2026, down 1256.5% year-over-year from $37.4 million in Q1 2025, and down 584.06% quarter-over-quarter from -$63.3 million in Q4 2025.
Li Auto (LI) EBITDA (2020 - 2026) Analysis & Trends
Li Auto's EBITDA history runs 7 years deep, the most recent figure standing at -$432.9 million for Q1 2026.
- In Q1 2026, EBITDA fell 1256.5% year-over-year to -$432.9 million; the TTM figure through Mar 2026 stood at -$545.3 million (down 149.64% YoY), while the FY2025 annual figure was -$73.5 million, down 107.64% from the prior year.
- EBITDA for Q1 2026 stood at -$432.9 million, down from -$63.3 million in the prior quarter.
- The five-year high for EBITDA was $507.4 million in Q4 2024, with the low at -$432.9 million in Q1 2026.
- The 5-year median for EBITDA is $37.4 million (2025), against an average of $57.3 million.
- The sharpest annual moves came in 2022 and 2023: EBITDA slumped 1872.54% in 2022, then soared 2307.68% in 2023.
- Li Auto's EBITDA stood at -$19.4 million in 2022, then jumped by 2307.68% to $427.7 million in 2023, then grew by 18.63% to $507.4 million in 2024, then tumbled by 112.47% to -$63.3 million in 2025, then slumped by 584.06% to -$432.9 million in 2026.
- Business Quant data shows LI's EBITDA at -$432.9 million in Q1 2026, -$63.3 million in Q4 2025, and -$164.5 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Toyota Motor | 254.16 Bn | 125.71 Bn | 12.27 Bn | 6.67 Bn |
| 2 | General Motors | 75.74 Bn | 52.66 Bn | 7.33 Bn | 1.46 Bn |
| 3 | Rivian Automotive | 22.24 Bn | 16.95 Bn | 179.00 Mn | -836.00 Mn |
| 4 | Li Auto | 12.31 Bn | 6.49 Bn | 417.98 Mn | -337.90 Mn |
| 5 | Xpeng | 11.18 Bn | 8.87 Bn | 601.83 Mn | -167.79 Mn |
| 6 | Lucid | 1.95 Bn | 1.19 Bn | -426.73 Mn | -1.08 Bn |
| 7 | China Yuchai International | 1.49 Bn | -274.93 Mn | 317.01 Mn | 66.75 Mn |
| 8 | Lotus Technology | 32.10 Mn | -51.80 Mn | 16.47 Mn | -66.11 Mn |
| 9 | Faraday Future Intelligent Electric | 19.08 Mn | 21.87 Mn | -10.70 Mn | -34.83 Mn |
| 10 | Fabric.AI | 11.76 Mn | -9.92 Mn | - | -3.33 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Jun 30, 2026 | -337.90 Mn |
| Mar 31, 2026 | -432.94 Mn |
| Dec 31, 2025 | -63.29 Mn |
| Sep 30, 2025 | -164.48 Mn |
| Jun 30, 2025 | 115.45 Mn |
| Mar 31, 2025 | 37.44 Mn |
| Dec 31, 2024 | 507.35 Mn |
| Sep 30, 2024 | 489.15 Mn |
| Jun 30, 2024 | 64.65 Mn |
| Mar 31, 2024 | -81.80 Mn |
| Dec 31, 2023 | 427.67 Mn |
| Sep 30, 2023 | 323.42 Mn |
| Jun 30, 2023 | 224.22 Mn |
| Mar 31, 2023 | 59.00 Mn |
| Dec 31, 2022 | -19.37 Mn |
| Sep 30, 2022 | -299.39 Mn |
| Jun 30, 2022 | -146.08 Mn |
| Mar 31, 2022 | -65.16 Mn |
| Dec 31, 2021 | 3.78 Mn |
| Sep 30, 2021 | -15.18 Mn |