Energy Services of America (ESOA) Operating Expenses (2010 - 2026)
Energy Services of America (ESOA) reported Operating Expenses of $12.94 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.2% from $11.85 million a year earlier and up 4.1% from the prior quarter.
Energy Services of America (ESOA) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Energy Services of America's Operating Expenses came in at $49.79 million, up 10.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $46.16 million, up 20.4% from FY2024.
- Operating Expenses has increased for 11 consecutive fiscal years, with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- By fiscal year, Operating Expenses came in at $38.35 million in FY2024 (+61.3%), $23.78 million in FY2023 (+49.7%), $15.88 million in FY2022 (+13.1%) and $14.04 million in FY2021 (+42.8%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q3 2010.
- Year over year, Operating Expenses has now increased in each of the last 17 quarters, with growth averaging 20.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q1 2024 (growth of 72.9%); the low point was fiscal Q2 2022 (a decline of 10.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $12.43 million (Q2 2026), $12.32 million (Q1 2026) and $12.11 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 292.57 Mn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 65.66 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | 972.05 Mn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 46.45 Mn |
| 10 | Energy Services of America | 174.87 Mn | 121.15 Mn | 14.32 Mn | 12.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.94 Mn |
| Mar 31, 2026 | 12.43 Mn |
| Dec 31, 2025 | 12.32 Mn |
| Sep 30, 2025 | 12.11 Mn |
| Jun 30, 2025 | 11.85 Mn |
| Mar 31, 2025 | 11.10 Mn |
| Dec 31, 2024 | 11.10 Mn |
| Sep 30, 2024 | 10.91 Mn |
| Jun 30, 2024 | 8.89 Mn |
| Mar 31, 2024 | 9.36 Mn |
| Dec 31, 2023 | 9.19 Mn |
| Sep 30, 2023 | 7.29 Mn |
| Jun 30, 2023 | 5.28 Mn |
| Mar 31, 2023 | 5.89 Mn |
| Dec 31, 2022 | 5.32 Mn |
| Sep 30, 2022 | 5.01 Mn |
| Jun 30, 2022 | 3.82 Mn |
| Mar 31, 2022 | 3.42 Mn |
| Dec 31, 2021 | 3.63 Mn |
| Sep 30, 2021 | 3.42 Mn |
Energy Services of America Operating Expenses 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=operating-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();