Emcor (EME) Return on Sales [ROS] (2009 - 2026)
Emcor (EME) posted Return on Sales [ROS] of 10.62% for Q2 2026, up 0.97 percentage points from 9.65% a year earlier and up 1.89 percentage points from the prior quarter.
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Analysis
Emcor (EME) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Emcor was 10.38%, up 0.88 percentage points year-over-year; for FY2025, it came in at 10.09%, up 0.85 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +7.17 percentage points (FY2020 to FY2025).
- In prior years, Emcor's Return on Sales [ROS] was 9.23% in FY2024 (+2.27 pp), 6.96% in FY2023 (+1.86 pp), 5.10% in FY2022 (-0.26 pp) and 5.36% in FY2021 (+2.44 pp).
- Quarterly Return on Sales [ROS] has run from a low of 3.86% in Q1 2022 to a high of 12.71% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +1.14 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 2.62 percentage points; the weakest was Q1 2022, with a drop of 1.22 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 8.73% (Q1 2026), 12.71% (Q4 2025) and 9.43% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.31 Bn | 85.69 Bn | 2.01 Bn | 8.54% |
| 2 | Ferrovial | 44.08 Bn | 24.68 Bn | - | - |
| 3 | Emcor | 29.16 Bn | 25.43 Bn | 1.11 Bn | 9.85% |
| 4 | Jacobs Solutions | 18.59 Bn | 13.24 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 14.14 Bn | 12.67 Bn | 660.86 Mn | 5.35% |
| 6 | Aecom | 9.02 Bn | 4.35 Bn | -34.04 Mn | -2.12% |
| 7 | Sterling Infrastructure | 8.80 Bn | 7.22 Bn | 377.28 Mn | 19.62% |
| 8 | Stantec | 8.59 Bn | 7.47 Bn | 2.08 Bn | 13.38% |
| 9 | IES Holdings | 6.94 Bn | 5.80 Bn | 340.66 Mn | 14.37% |
| 10 | Dycom Industries | 6.79 Bn | 5.09 Bn | 440.55 Mn | -68.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.85% |
| Jun 30, 2026 | 10.62% |
| Mar 31, 2026 | 8.73% |
| Dec 31, 2025 | 12.71% |
| Sep 30, 2025 | 9.43% |
| Jun 30, 2025 | 9.65% |
| Mar 31, 2025 | 8.24% |
| Dec 31, 2024 | 10.31% |
| Sep 30, 2024 | 9.83% |
| Jun 30, 2024 | 9.08% |
| Mar 31, 2024 | 7.57% |
| Dec 31, 2023 | 8.41% |
| Sep 30, 2023 | 7.33% |
| Jun 30, 2023 | 6.46% |
| Mar 31, 2023 | 5.36% |
| Dec 31, 2022 | 6.01% |
| Sep 30, 2022 | 5.31% |
| Jun 30, 2022 | 5.08% |
| Mar 31, 2022 | 3.86% |
| Dec 31, 2021 | 5.42% |
API Access
Emcor 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=EME&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "EME", "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=EME&period=max&api_key=YOUR_API_KEY");
const data = await res.json();