Leggett & Platt (LEG) EBIT (2009 - 2026)
Leggett & Platt (LEG) posted EBIT of $73.3 million for Q2 2026, down 1.2% from $74.2 million a year earlier but up 60.4% from the prior quarter.
Powered by 
Analysis
Leggett & Platt (LEG) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Leggett & Platt was $234.2 million, down 11.8% year-over-year; for FY2025, it came in at $255.8 million, up 6.5% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of -11.8% (FY2020 to FY2025).
- In prior years, Leggett & Platt's EBIT was $240.3 million in FY2024 (-38.1%), $388.4 million in FY2023 (-29.3%), $549.5 million in FY2022 (-10.8%) and $616.2 million in FY2021 (+28.5%).
- Quarterly EBIT has run from a low of $45.7 million in Q1 2026 to a high of $165.8 million in Q4 2021 over five years.
- On a year-over-year basis, EBIT has declined in each of the last four quarters, with an average decline of 8.6% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2025, with growth of 34.9%; the weakest was Q2 2024, with a decline of 46.0%.
- According to Business Quant data, EBIT for the three prior quarters was $45.7 million (Q1 2026), $46 million (Q4 2025) and $69.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 73.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.30 Mn |
| Mar 31, 2026 | 45.70 Mn |
| Dec 31, 2025 | 46.00 Mn |
| Sep 30, 2025 | 69.20 Mn |
| Jun 30, 2025 | 74.20 Mn |
| Mar 31, 2025 | 66.40 Mn |
| Dec 31, 2024 | 51.20 Mn |
| Sep 30, 2024 | 73.60 Mn |
| Jun 30, 2024 | 55.00 Mn |
| Mar 31, 2024 | 60.50 Mn |
| Dec 31, 2023 | 78.70 Mn |
| Sep 30, 2023 | 105.20 Mn |
| Jun 30, 2023 | 101.90 Mn |
| Mar 31, 2023 | 102.60 Mn |
| Dec 31, 2022 | 100.80 Mn |
| Sep 30, 2022 | 130.10 Mn |
| Jun 30, 2022 | 163.00 Mn |
| Mar 31, 2022 | 155.60 Mn |
| Dec 31, 2021 | 165.80 Mn |
| Sep 30, 2021 | 152.50 Mn |
API Access
Leggett & Platt EBIT 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=ebit&ticker=LEG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();