Energy Services of America (ESOA) Return on Capital Employed [ROCE] (2011 - 2026)
Energy Services of America's Return on Capital Employed [ROCE] was 16.86% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.65 percentage points from 6.21% a year earlier and up 1.69 percentage points from the prior quarter.
Energy Services of America (ESOA) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Return on Capital Employed [ROCE] at Energy Services of America came in at 4.75%, down 21.30 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -4.86 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 26.05% in FY2024 (-1.30 pp), 27.35% in FY2023 (+2.36 pp), 24.99% in FY2022 (+28.77 pp) and -3.78% in FY2021 (-13.39 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q1 2025.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in three of the last eight quarters, with an average year-over-year change of -7.83 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q4 2022 (a gain of 21.91 percentage points); the worst was fiscal Q3 2025 (a drop of 22.57 percentage points).
- Per Business Quant data, ESOA's Return on Capital Employed [ROCE] in the three fiscal quarters before Q3 2026 was 15.18% (Q2 2026), 6.40% (Q1 2026) and 4.05% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.57 Bn | 80.65 Bn | 1.55 Bn | 12.55% |
| 2 | Ferrovial | 35.65 Bn | 13.90 Bn | - | - |
| 3 | Emcor | 28.92 Bn | 25.31 Bn | 1.02 Bn | 41.90% |
| 4 | Jacobs Solutions | 17.18 Bn | 11.85 Bn | 810.70 Mn | 8.23% |
| 5 | Mastec | 13.31 Bn | 12.09 Bn | 556.28 Mn | 12.51% |
| 6 | Sterling Infrastructure | 11.05 Bn | 9.38 Bn | 289.96 Mn | 35.48% |
| 7 | IES Holdings | 8.62 Bn | 7.48 Bn | 340.66 Mn | 41.31% |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 28.75% |
| 9 | Aecom | 7.78 Bn | 2.90 Bn | -34.04 Mn | 10.51% |
| 10 | Energy Services of America | 170.40 Mn | 116.69 Mn | 14.32 Mn | 16.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.86% |
| Mar 31, 2026 | 15.18% |
| Dec 31, 2025 | 6.40% |
| Sep 30, 2025 | 4.05% |
| Jun 30, 2025 | 6.21% |
| Mar 31, 2025 | 10.68% |
| Dec 31, 2024 | 19.45% |
| Sep 30, 2024 | 25.01% |
| Jun 30, 2024 | 28.78% |
| Mar 31, 2024 | 28.43% |
| Dec 31, 2023 | 24.60% |
| Sep 30, 2023 | 23.29% |
| Jun 30, 2023 | 19.06% |
| Mar 31, 2023 | 8.80% |
| Dec 31, 2022 | 10.94% |
| Sep 30, 2022 | 18.85% |
| Jun 30, 2022 | 13.82% |
| Mar 31, 2022 | 6.16% |
| Dec 31, 2021 | 3.51% |
| Sep 30, 2021 | -3.06% |
Energy Services of America 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=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();