Li Auto (LI) Shares Outstanding (Diluted) (2018 - 2026)
Li Auto (LI) reported Weighted Average Shares Outstanding (Diluted) of 1.07 billion for Q2 2026, up 0.6% from 1.06 billion a year earlier and unchanged from the prior quarter.
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Analysis
Li Auto (LI) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
Dating back to Q4 2018, Li Auto's Weighted Average Shares Outstanding (Diluted) record includes 28 quarters.
- Weighted Average Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 19.8% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding (Diluted) came in at 1.06 billion in FY2024 (+0.7%), 1.06 billion in FY2023 (+9.0%), 970.62 million in FY2022 (+4.7%) and 926.66 million in FY2021 (+113.0%).
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 23 quarters, with growth averaging 1.7% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding (Diluted) ran from 0.6% in Q4 2025 to 241.2% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at 1.07 billion (Q1 2026), 1.07 billion (Q4 2025) and 1.06 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,288.83 Bn | 1,114.85 Bn | 4.75 Bn | 3.54 Bn |
| 2 | General Motors | 77.22 Bn | -27.39 Bn | 9.28 Bn | 887.00 Mn |
| 3 | Ferrari | 74.55 Bn | 67.04 Bn | 1.18 Bn | 178.32 Mn |
| 4 | Ford Motor | 49.42 Bn | -85.00 Bn | 7.38 Bn | 3.99 Bn |
| 5 | Honda Motor | 45.62 Bn | -104.19 Bn | 8.46 Bn | 1.73 Bn |
| 6 | Toyota Motor | 25.28 Bn | -381.22 Bn | 20.95 Bn | 1.30 Bn |
| 7 | Rivian Automotive | 19.25 Bn | -2.47 Bn | 176.00 Mn | 1.45 Bn |
| 8 | Magna International | 17.77 Bn | 11.74 Bn | 1.63 Bn | 282.50 Mn |
| 9 | Stellantis | 13.18 Bn | -148.26 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Li Auto | 11.29 Bn | -37.67 Bn | 417.98 Mn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07 Bn |
| Mar 31, 2026 | 1.07 Bn |
| Dec 31, 2025 | 1.07 Bn |
| Sep 30, 2025 | 1.06 Bn |
| Jun 30, 2025 | 1.06 Bn |
| Mar 31, 2025 | 1.06 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.06 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 1.06 Bn |
| Sep 30, 2023 | 970.62 Mn |
| Jun 30, 2023 | 970.62 Mn |
| Mar 31, 2023 | 970.62 Mn |
| Dec 31, 2022 | 970.62 Mn |
| Sep 30, 2022 | 926.66 Mn |
| Jun 30, 2022 | 926.66 Mn |
| Mar 31, 2022 | 926.66 Mn |
| Dec 31, 2021 | 926.66 Mn |
| Sep 30, 2021 | 435.00 Mn |
API Access
Li Auto Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=LI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=LI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();