Leggett & Platt (LEG) Shares Outstanding (2009 - 2026)
Leggett & Platt (LEG) posted Shares Outstanding of 140 million for Q2 2026, up 1.1% from 138.5 million a year earlier and up 0.5% from the prior quarter.
Leggett & Platt (LEG) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Leggett & Platt's Shares Outstanding came in at 138.5 million, up 0.9% from FY2024.
- Annual Shares Outstanding has increased for three consecutive years, with a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In prior years, Leggett & Platt's Shares Outstanding was 137.3 million in FY2024 (+0.7%), 136.3 million in FY2023 (+0.1%), 136.1 million in FY2022 (-0.1%) and 136.3 million in FY2021 (+0.4%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q4 2015.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 12 quarters, with growth averaging 0.9% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2026, with growth of 1.1%; the weakest was Q3 2022, with a decline of 0.5%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 139.3 million (Q1 2026), 138.5 million (Q4 2025) and 138.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 460.40 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.46 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 126.30 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 384.56 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 558.80 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 519.70 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 286.40 Mn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 140.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.00 Mn |
| Mar 31, 2026 | 139.30 Mn |
| Dec 31, 2025 | 138.50 Mn |
| Sep 30, 2025 | 138.70 Mn |
| Jun 30, 2025 | 138.50 Mn |
| Mar 31, 2025 | 137.80 Mn |
| Dec 31, 2024 | 137.30 Mn |
| Sep 30, 2024 | 137.40 Mn |
| Jun 30, 2024 | 137.30 Mn |
| Mar 31, 2024 | 136.80 Mn |
| Dec 31, 2023 | 136.30 Mn |
| Sep 30, 2023 | 136.40 Mn |
| Jun 30, 2023 | 136.20 Mn |
| Mar 31, 2023 | 135.90 Mn |
| Dec 31, 2022 | 136.10 Mn |
| Sep 30, 2022 | 135.70 Mn |
| Jun 30, 2022 | 136.30 Mn |
| Mar 31, 2022 | 136.60 Mn |
| Dec 31, 2021 | 136.30 Mn |
| Sep 30, 2021 | 136.40 Mn |
Leggett & Platt Shares Outstanding 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&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "LEG", "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&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();