Lear (LEA) Shares Outstanding (Diluted) (2010 - 2026)
Lear (LEA) recorded 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.
Lear (LEA) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Lear reported Shares Outstanding (Diluted) of 53.59 million, down 5.1% from FY2024.
- Annual 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, 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 Shares Outstanding (Diluted) in data going back to Q1 2010.
- On a year-over-year basis, 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 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 3.54 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 13.03 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 178.32 Mn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | - |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 910.00 Mn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 3.99 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 1.33 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | 282.50 Mn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 2.89 Bn |
| 10 | Lear | 5.82 Bn | 2.04 Bn | 470.30 Mn | 50.82 Mn |
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 |
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_KEY
import 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();