Li Auto (LI) Other Operating Expenses (2021 - 2026)
Li Auto (LI) posted Other Operating Expenses of $438.48 million for Q2 2026, up 22.1% from $359.03 million a year earlier and up 8.1% from the prior quarter.
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Analysis
Li Auto (LI) Other Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Li Auto was $1.68 billion, up 21.9% year-over-year; for FY2025, it came in at $1.53 billion, up 8.6% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 56.3% (FY2020 to FY2025).
- In prior years, Li Auto's Other Operating Expenses was $1.41 billion in FY2024 (-1.9%), $1.44 billion in FY2023 (+60.4%), $894.76 million in FY2022 (+75.5%) and $509.72 million in FY2021 (+211.0%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses since Q4 2023.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last four quarters, with growth averaging 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2021, with growth of 235.5%; the weakest was Q4 2024, with a decline of 37.3%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $405.67 million (Q1 2026), $423.79 million (Q4 2025) and $408.74 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,305.48 Bn | 1,140.04 Bn | 4.75 Bn |
| 2 | Ferrari | 148.41 Bn | 140.91 Bn | 1.18 Bn |
| 3 | General Motors | 72.77 Bn | -30.13 Bn | 9.28 Bn |
| 4 | Honda Motor | 51.22 Bn | -96.94 Bn | 8.46 Bn |
| 5 | Ford Motor | 48.22 Bn | -94.25 Bn | 6.08 Bn |
| 6 | Toyota Motor | 25.00 Bn | -375.82 Bn | 20.95 Bn |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.72 Bn | -4.98 Bn | 176.00 Mn |
| 9 | Stellantis | 13.62 Bn | -147.29 Bn | 3.94 Bn |
| 10 | Li Auto | 11.29 Bn | -37.59 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -12.27 Mn |
| Mar 31, 2026 | -5.14 Mn |
| Dec 31, 2025 | 12.93 Mn |
| Sep 30, 2025 | 13.65 Mn |
| Jun 30, 2025 | 40.20 Mn |
| Mar 31, 2025 | -268,000.00 |
| Dec 31, 2024 | 29.93 Mn |
| Sep 30, 2024 | 21.97 Mn |
| Jun 30, 2024 | 18.41 Mn |
| Mar 31, 2024 | 21.78 Mn |
| Dec 31, 2023 | 1.44 Mn |
| Sep 30, 2023 | 7.66 Mn |
| Jun 30, 2023 | 17.29 Mn |
| Mar 31, 2023 | 10.59 Mn |
| Dec 31, 2022 | -91.35 Mn |
| Dec 31, 2021 | -45.36 Mn |
API Access
Li Auto Other Operating Expenses 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=other-operating-expenses&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();