Lincoln Electric Holdings (LECO) Return on Sales [ROS] (2009 - 2026)
Lincoln Electric Holdings' Return on Sales [ROS] came in at 18.09% for Q2 2026, up 0.44 percentage points from 17.65% a year earlier and up 1.49 percentage points from the prior quarter.
Lincoln Electric Holdings (LECO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lincoln Electric Holdings reported Return on Sales [ROS] of 17.13%, up 0.55 percentage points year-over-year; for FY2025, it came in at 16.96%, up 1.09 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +6.34 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 15.88% in FY2024 (-1.25 pp), 17.13% in FY2023 (+0.85 pp), 16.28% in FY2022 (+2.01 pp) and 14.27% in FY2021 (+3.65 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.15 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 4.08 percentage points), and the weakest in Q2 2024 (a drop of 2.22 percentage points).
- Business Quant data shows LECO's Return on Sales [ROS] at 16.60% (Q1 2026), 17.09% (Q4 2025) and 16.65% (Q3 2025) in the three quarters before Q2 2026.
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 | Lincoln Electric Holdings | 14.96 Bn | 13.81 Bn | 449.00 Mn | 18.09% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.09% |
| Mar 31, 2026 | 16.60% |
| Dec 31, 2025 | 17.09% |
| Sep 30, 2025 | 16.65% |
| Jun 30, 2025 | 17.65% |
| Mar 31, 2025 | 16.42% |
| Dec 31, 2024 | 17.32% |
| Sep 30, 2024 | 14.80% |
| Jun 30, 2024 | 14.57% |
| Mar 31, 2024 | 16.82% |
| Dec 31, 2023 | 19.28% |
| Sep 30, 2023 | 16.59% |
| Jun 30, 2023 | 16.78% |
| Mar 31, 2023 | 15.81% |
| Dec 31, 2022 | 15.20% |
| Sep 30, 2022 | 15.19% |
| Jun 30, 2022 | 17.28% |
| Mar 31, 2022 | 17.42% |
| Dec 31, 2021 | 14.26% |
| Sep 30, 2021 | 14.33% |
Lincoln Electric Holdings 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=LECO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LECO", "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=LECO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();