Leggett & Platt (LEG) Return on Sales [ROS] (2009 - 2026)
Leggett & Platt (LEG) posted Return on Sales [ROS] of 7.33% for Q2 2026, up 0.32 percentage points from 7.01% a year earlier and up 2.36 percentage points from the prior quarter.
Leggett & Platt (LEG) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Leggett & Platt was 6.02%, down 0.25 percentage points year-over-year; for FY2025, it came in at 6.31%, up 0.83 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -4.90 percentage points (FY2020 to FY2025).
- In prior years, Leggett & Platt's Return on Sales [ROS] was 5.48% in FY2024 (-2.74 pp), 8.22% in FY2023 (-2.46 pp), 10.68% in FY2022 (-1.47 pp) and 12.15% in FY2021 (+0.94 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2023.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of -0.31 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 2.14 percentage points; the weakest was Q4 2022, with a drop of 4.01 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 4.98% (Q1 2026), 4.90% (Q4 2025) and 6.68% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Leggett & Platt | 1.26 Bn | -847.28 Mn | 203.20 Mn | 7.33% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.33% |
| Mar 31, 2026 | 4.98% |
| Dec 31, 2025 | 4.90% |
| Sep 30, 2025 | 6.68% |
| Jun 30, 2025 | 7.01% |
| Mar 31, 2025 | 6.50% |
| Dec 31, 2024 | 4.85% |
| Sep 30, 2024 | 6.68% |
| Jun 30, 2024 | 4.87% |
| Mar 31, 2024 | 5.52% |
| Dec 31, 2023 | 7.06% |
| Sep 30, 2023 | 8.95% |
| Jun 30, 2023 | 8.34% |
| Mar 31, 2023 | 8.45% |
| Dec 31, 2022 | 8.43% |
| Sep 30, 2022 | 10.05% |
| Jun 30, 2022 | 12.22% |
| Mar 31, 2022 | 11.77% |
| Dec 31, 2021 | 12.44% |
| Sep 30, 2021 | 11.56% |
Leggett & Platt Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();