Leggett & Platt (LEG) Return on Capital Employed [ROCE] (2010 - 2026)
Leggett & Platt's Return on Capital Employed [ROCE] was 8.42% in Q2 2026, down 0.66 percentage points from 9.08% a year earlier and down 0.04 percentage points from the prior quarter.
Leggett & Platt (LEG) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Leggett & Platt came in at 9.06%, up 1.78 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -3.56 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was 7.28% in FY2024 (-3.37 pp), 10.65% in FY2023 (-2.20 pp), 12.84% in FY2022 (-3.73 pp) and 16.57% in FY2021 (+3.96 pp).
- The Q2 2026 figure marks the lowest quarterly Return on Capital Employed [ROCE] since Q4 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in two of the last eight quarters, with an average year-over-year change of -0.66 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 3.01 percentage points); the worst was Q2 2023 (a drop of 5.86 percentage points).
- Per Business Quant data, LEG's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was 8.46% (Q1 2026), 9.28% (Q4 2025) and 9.25% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 22.08% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 23.04% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 12.16% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 18.77% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 29.36% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 14.90% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 19.43% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 41.86% |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 8.42% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.42% |
| Mar 31, 2026 | 8.46% |
| Dec 31, 2025 | 9.28% |
| Sep 30, 2025 | 9.25% |
| Jun 30, 2025 | 9.08% |
| Mar 31, 2025 | 8.50% |
| Dec 31, 2024 | 8.36% |
| Sep 30, 2024 | 10.15% |
| Jun 30, 2024 | 9.79% |
| Mar 31, 2024 | 10.08% |
| Dec 31, 2023 | 10.81% |
| Sep 30, 2023 | 10.01% |
| Jun 30, 2023 | 10.24% |
| Mar 31, 2023 | 11.66% |
| Dec 31, 2022 | 13.04% |
| Sep 30, 2022 | 14.50% |
| Jun 30, 2022 | 16.10% |
| Mar 31, 2022 | 15.87% |
| Dec 31, 2021 | 15.66% |
| Sep 30, 2021 | 15.70% |
Leggett & Platt Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();