Lear (LEA) Shares Outstanding (Diluted) (2010 - 2026)
Lear (LEA) recorded Weighted Average Shares Outstanding (Diluted) of 50.82 million in Q2 2026, down 6.0% from 54.06 million a year earlier and down 1.4% from the prior quarter.
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Analysis
Lear (LEA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Lear reported Weighted Average Shares Outstanding (Diluted) of 53.59 million, down 5.1% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for four straight years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 56.48 million in FY2024 (-4.5%), 59.12 million in FY2023 (-1.3%), 59.92 million in FY2022 (-0.8%) and 60.42 million in FY2021 (unchanged).
- The Q2 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for 18 consecutive quarters, with an average decline of 5.2% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 0.0% (Q4 2021) to 6.0% (Q2 2026).
- Per Business Quant, the preceding three quarters came in at 51.55 million (Q1 2026), 53.59 million (Q4 2025) and 53.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,304.64 Bn | 1,130.67 Bn | 4.75 Bn | 3.54 Bn |
| 2 | General Motors | 78.04 Bn | -26.58 Bn | 9.28 Bn | 887.00 Mn |
| 3 | Ferrari | 71.80 Bn | 64.29 Bn | 1.18 Bn | 178.32 Mn |
| 4 | Ford Motor | 49.88 Bn | -92.62 Bn | 6.08 Bn | 3.99 Bn |
| 5 | Honda Motor | 45.70 Bn | -104.11 Bn | 8.46 Bn | 1.73 Bn |
| 6 | Toyota Motor | 25.55 Bn | -380.95 Bn | 20.95 Bn | 1.30 Bn |
| 7 | Rivian Automotive | 18.92 Bn | -2.80 Bn | 176.00 Mn | 1.45 Bn |
| 8 | Magna International | 18.44 Bn | 12.47 Bn | 1.61 Bn | 282.50 Mn |
| 9 | Stellantis | 13.64 Bn | -147.80 Bn | 3.94 Bn | 2.89 Bn |
| 10 | Lear | 6.13 Bn | 2.20 Bn | 470.30 Mn | 50.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 50.82 Mn |
| Apr 4, 2026 | 51.55 Mn |
| Dec 31, 2025 | 53.59 Mn |
| Sep 27, 2025 | 53.65 Mn |
| Jun 28, 2025 | 54.06 Mn |
| Mar 29, 2025 | 54.23 Mn |
| Dec 31, 2024 | 56.48 Mn |
| Sep 28, 2024 | 56.37 Mn |
| Jun 29, 2024 | 57.23 Mn |
| Mar 30, 2024 | 57.57 Mn |
| Dec 31, 2023 | 59.12 Mn |
| Sep 30, 2023 | 59.08 Mn |
| Jul 1, 2023 | 59.37 Mn |
| Apr 1, 2023 | 59.56 Mn |
| Dec 31, 2022 | 59.92 Mn |
| Oct 1, 2022 | 59.79 Mn |
| Jul 2, 2022 | 60.10 Mn |
| Apr 2, 2022 | 60.21 Mn |
| Dec 31, 2021 | 60.42 Mn |
| Oct 2, 2021 | 59.91 Mn |
API Access
Lear 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=LEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "LEA", "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=LEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();