Li Auto (LI) Return on Sales [ROS] (2020 - 2026)
Li Auto (LI) posted Return on Sales [ROS] of -8.96% for Q2 2026, down 11.70 percentage points from 2.73% a year earlier but up 4.08 percentage points from the prior quarter.
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Analysis
Li Auto (LI) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Li Auto was -6.65%, down 12.41 percentage points year-over-year; for FY2025, it was -0.46%, down 5.32 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +6.61 percentage points (FY2020 to FY2025).
- In prior years, Li Auto's Return on Sales [ROS] was 4.86% in FY2024 (-1.12 pp), 5.98% in FY2023 (+14.05 pp), -8.07% in FY2022 (-4.30 pp) and -3.77% in FY2021 (+3.31 pp).
- Quarterly Return on Sales [ROS] has run from a low of -22.80% in Q3 2022 to a high of 8.36% in Q4 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last four quarters, with an average year-over-year change of -5.13 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 29.54 percentage points; the weakest was Q3 2022, with a drop of 21.54 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -13.05% (Q1 2026), -1.54% (Q4 2025) and -4.30% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,160.73 Bn | 982.96 Bn | 5.49 Bn | 2.56% |
| 2 | General Motors | 75.19 Bn | -29.42 Bn | 9.28 Bn | 7.19% |
| 3 | Ferrari | 74.17 Bn | 66.47 Bn | 1.14 Bn | 29.70% |
| 4 | Ford Motor | 49.64 Bn | -84.78 Bn | 7.38 Bn | 2.94% |
| 5 | Honda Motor | 47.63 Bn | -102.18 Bn | 8.46 Bn | 8.76% |
| 6 | Toyota Motor | 28.28 Bn | -349.28 Bn | 19.83 Bn | 8.39% |
| 7 | Rivian Automotive | 19.71 Bn | -2.02 Bn | 176.00 Mn | -40.88% |
| 8 | Magna International | 17.43 Bn | 11.40 Bn | 1.63 Bn | 13.52% |
| 9 | Stellantis | 12.80 Bn | -148.64 Bn | 3.94 Bn | -0.88% |
| 10 | Li Auto | 12.62 Bn | -36.34 Bn | 417.98 Mn | -8.96% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -8.96% |
| Mar 31, 2026 | -13.05% |
| Dec 31, 2025 | -1.54% |
| Sep 30, 2025 | -4.30% |
| Jun 30, 2025 | 2.73% |
| Mar 31, 2025 | 1.05% |
| Dec 31, 2024 | 8.36% |
| Sep 30, 2024 | 8.01% |
| Jun 30, 2024 | 1.48% |
| Mar 31, 2024 | -2.28% |
| Dec 31, 2023 | 7.28% |
| Sep 30, 2023 | 6.75% |
| Jun 30, 2023 | 5.67% |
| Mar 31, 2023 | 2.16% |
| Dec 31, 2022 | -0.76% |
| Sep 30, 2022 | -22.80% |
| Jun 30, 2022 | -11.20% |
| Mar 31, 2022 | -4.32% |
| Dec 31, 2021 | 0.23% |
| Sep 30, 2021 | -1.26% |
API Access
Li Auto Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();