Energy Services of America (ESOA) Cost of Revenue (2010 - 2026)
Energy Services of America's Cost of Revenue came in at $115.69 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.3% from $91.62 million a year earlier and up 39.5% from the prior quarter.
Energy Services of America (ESOA) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Energy Services of America reported Cost of Revenue of $412.37 million, up 19.3% year-over-year; for FY2025 (ended Sep 30, 2025), it was $372.23 million, up 23.3% from FY2024.
- Cost of Revenue has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- Going back by fiscal year, Cost of Revenue was $301.92 million in FY2024 (+13.0%), $267.29 million in FY2023 (+52.5%), $175.22 million in FY2022 (+60.0%) and $109.54 million in FY2021 (+3.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q3 2010.
- Year-over-year, Cost of Revenue has increased for seven consecutive quarters, with growth averaging 16.9% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in fiscal Q3 2022 (growth of 98.2%), and the weakest in fiscal Q4 2021 (a decline of 6.1%).
- Business Quant data shows ESOA's Cost of Revenue at $82.94 million (Q2 2026), $100.12 million (Q1 2026) and $113.62 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.10 Bn | 80.29 Bn | 1.55 Bn | 8.01 Bn |
| 2 | Ferrovial | 35.78 Bn | 16.09 Bn | - | - |
| 3 | Emcor | 28.64 Bn | 25.04 Bn | 1.02 Bn | 4.13 Bn |
| 4 | Jacobs Solutions | 16.99 Bn | 11.64 Bn | 810.70 Mn | 3.27 Bn |
| 5 | Mastec | 13.74 Bn | 12.65 Bn | 556.28 Mn | 3.82 Bn |
| 6 | Sterling Infrastructure | 10.90 Bn | 9.26 Bn | 289.96 Mn | 878.22 Mn |
| 7 | IES Holdings | 8.51 Bn | 7.37 Bn | 340.66 Mn | 902.04 Mn |
| 8 | Stantec | 8.11 Bn | 7.04 Bn | 1.36 Bn | 1.15 Bn |
| 9 | Aecom | 7.78 Bn | 3.11 Bn | -34.04 Mn | 3.62 Bn |
| 10 | Energy Services of America | 172.46 Mn | 118.75 Mn | 14.32 Mn | 115.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.69 Mn |
| Mar 31, 2026 | 82.94 Mn |
| Dec 31, 2025 | 100.12 Mn |
| Sep 30, 2025 | 113.62 Mn |
| Jun 30, 2025 | 91.62 Mn |
| Mar 31, 2025 | 76.60 Mn |
| Dec 31, 2024 | 90.38 Mn |
| Sep 30, 2024 | 87.09 Mn |
| Jun 30, 2024 | 70.62 Mn |
| Mar 31, 2024 | 64.89 Mn |
| Dec 31, 2023 | 79.32 Mn |
| Sep 30, 2023 | 88.81 Mn |
| Jun 30, 2023 | 74.65 Mn |
| Mar 31, 2023 | 49.77 Mn |
| Dec 31, 2022 | 54.06 Mn |
| Sep 30, 2022 | 60.59 Mn |
| Jun 30, 2022 | 44.75 Mn |
| Mar 31, 2022 | 32.53 Mn |
| Dec 31, 2021 | 37.35 Mn |
| Sep 30, 2021 | 34.07 Mn |
Energy Services of America Cost of Revenue 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=cost-of-revenue&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();