Li Auto (LI) Accumulated Expenses (2018 - 2026)
Li Auto (LI) posted Accumulated Expenses of $1.8 billion for Q2 2026, up 10.1% from $1.63 billion a year earlier and up 11.8% from the prior quarter.
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Analysis
Li Auto (LI) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2025, Li Auto's Accumulated Expenses came in at $1.92 billion, up 12.9% from FY2024.
- Annual Accumulated Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 81.0% (FY2020 to FY2025).
- In prior years, Li Auto's Accumulated Expenses was $1.7 billion in FY2024 (+7.5%), $1.58 billion in FY2023 (+91.6%), $824.2 million in FY2022 (+179.5%) and $294.91 million in FY2021 (+198.4%).
- Quarterly Accumulated Expenses has run from a low of $285.08 million in Q3 2021 to a high of $2.14 billion in Q3 2025 over five years.
- On a year-over-year basis, Accumulated Expenses increased in seven of the last eight quarters, with growth averaging 13.2%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 281.6%; the weakest was Q1 2026, with a decline of 5.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $1.61 billion (Q1 2026), $1.89 billion (Q4 2025) and $2.14 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,223.67 Bn | 1,049.69 Bn | 4.75 Bn |
| 2 | Toyota Motor | 243.73 Bn | -163.01 Bn | 20.95 Bn |
| 3 | Honda Motor | 126.52 Bn | -7.78 Bn | 8.46 Bn |
| 4 | General Motors | 72.50 Bn | -34.01 Bn | 7.33 Bn |
| 5 | Ferrari | 68.83 Bn | 61.27 Bn | 1.18 Bn |
| 6 | Ford Motor | 48.36 Bn | -94.13 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 18.97 Bn | -4.34 Bn | 179.00 Mn |
| 8 | Magna International | 18.29 Bn | 15.51 Bn | 1.61 Bn |
| 9 | Stellantis | 13.35 Bn | -153.18 Bn | 5.55 Bn |
| 10 | Li Auto | 11.09 Bn | -42.99 Bn | 417.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.80 Bn |
| Mar 31, 2026 | 1.61 Bn |
| Dec 31, 2025 | 1.89 Bn |
| Sep 30, 2025 | 2.14 Bn |
| Jun 30, 2025 | 1.63 Bn |
| Mar 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 1.73 Bn |
| Sep 30, 2024 | 1.71 Bn |
| Jun 30, 2024 | 1.60 Bn |
| Mar 31, 2024 | 1.55 Bn |
| Dec 31, 2023 | 1.56 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 991.06 Mn |
| Mar 31, 2023 | 914.89 Mn |
| Dec 31, 2022 | 799.28 Mn |
| Sep 30, 2022 | 648.82 Mn |
| Jun 30, 2022 | 509.78 Mn |
| Mar 31, 2022 | 295.07 Mn |
| Dec 31, 2021 | 293.95 Mn |
| Sep 30, 2021 | 285.08 Mn |
API Access
Li Auto Accumulated 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=accumulated-expenses&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();