Energy Services of America (ESOA) Return on Sales [ROS] (2010 - 2026)
Energy Services of America (ESOA) reported Return on Sales [ROS] of 3.56% for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.50 percentage points from 3.06% a year earlier and up 2.43 percentage points from the prior quarter.
Energy Services of America (ESOA) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Energy Services of America's Return on Sales [ROS] came in at 3.87%, up 2.44 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 1.03%, down 4.61 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -2.05 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 5.64% in FY2024 (+1.35 pp), 4.29% in FY2023 (+1.00 pp), 3.29% in FY2022 (+4.20 pp) and -0.92% in FY2021 (-4.00 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -10.55% in fiscal Q2 2025 and a high of 9.88% in fiscal Q3 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -0.75 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q2 2026 (a gain of 11.69 percentage points); the low point was fiscal Q2 2025 (a drop of 9.03 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 1.14% (Q2 2026), 4.31% (Q1 2026) and 5.76% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.18 Bn | 80.26 Bn | 1.55 Bn | 7.27% |
| 2 | Ferrovial | 35.58 Bn | 13.83 Bn | - | - |
| 3 | Emcor | 28.91 Bn | 25.31 Bn | 1.02 Bn | 10.62% |
| 4 | Jacobs Solutions | 17.07 Bn | 11.74 Bn | 810.70 Mn | 7.03% |
| 5 | Mastec | 13.28 Bn | 12.06 Bn | 556.28 Mn | 5.17% |
| 6 | Sterling Infrastructure | 11.02 Bn | 9.35 Bn | 289.96 Mn | 18.77% |
| 7 | IES Holdings | 8.74 Bn | 7.60 Bn | 340.66 Mn | 14.37% |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 12.58% |
| 9 | Aecom | 7.67 Bn | 2.79 Bn | -34.04 Mn | -2.12% |
| 10 | Energy Services of America | 172.07 Mn | 118.36 Mn | 14.32 Mn | 3.56% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.56% |
| Mar 31, 2026 | 1.14% |
| Dec 31, 2025 | 4.31% |
| Sep 30, 2025 | 5.76% |
| Jun 30, 2025 | 3.06% |
| Mar 31, 2025 | -10.55% |
| Dec 31, 2024 | 1.63% |
| Sep 30, 2024 | 8.39% |
| Jun 30, 2024 | 9.88% |
| Mar 31, 2024 | -1.52% |
| Dec 31, 2023 | 4.04% |
| Sep 30, 2023 | 8.35% |
| Jun 30, 2023 | 6.54% |
| Mar 31, 2023 | -3.70% |
| Dec 31, 2022 | 1.12% |
| Sep 30, 2022 | 4.05% |
| Jun 30, 2022 | 5.07% |
| Mar 31, 2022 | -1.56% |
| Dec 31, 2021 | 3.93% |
| Sep 30, 2021 | 5.85% |
Energy Services of America 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=ESOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ESOA", "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=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();