Leggett & Platt (LEG) Divestments (2009 - 2026)
Leggett & Platt (LEG) reported Divestments of $4.2 million for Q1 2026.
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Analysis
Leggett & Platt (LEG) Divestments (2009 - 2026) Analysis & Trends
For FY2025, Leggett & Platt posted Divestments of $276.1 million.
- Divestments has a five-year compound annual growth rate of 79.5% (FY2020 to FY2025).
- By year, Divestments came in at $4.2 million in FY2022 (-89.1%) and $38.5 million in FY2021 (+160.1%).
- The Q1 2026 figure ranks as the lowest quarterly Divestments since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | -92.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.20 Mn |
| Sep 30, 2025 | 276.10 Mn |
| Mar 31, 2023 | 500,000.00 |
| Dec 31, 2022 | 1.20 Mn |
| Sep 30, 2022 | 300,000.00 |
| Jun 30, 2022 | 300,000.00 |
| Mar 31, 2022 | 2.40 Mn |
| Dec 31, 2021 | -100,000.00 |
| Sep 30, 2021 | 7.70 Mn |
| Jun 30, 2021 | 30.90 Mn |
| Dec 31, 2020 | 8.80 Mn |
| Sep 30, 2020 | 2.40 Mn |
| Dec 31, 2019 | 200,000.00 |
| Sep 30, 2019 | 3.30 Mn |
| Jun 30, 2019 | 1.80 Mn |
| Mar 31, 2019 | 200,000.00 |
| Dec 31, 2018 | 1.20 Mn |
| Sep 30, 2018 | 1.80 Mn |
| Jun 30, 2018 | 300,000.00 |
| Mar 31, 2018 | 1.60 Mn |
API Access
Leggett & Platt Divestments 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=divestments&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();