Energy Services of America (ESOA) Revenue (2010 - 2026)
Energy Services of America (ESOA) recorded Revenue of $130.01 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.5% from $103.6 million a year earlier and up 39.5% from the prior quarter.
Energy Services of America (ESOA) Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Energy Services of America's Revenue came in at $467.37 million as of Jun 30, 2026, up 21.2% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $411 million, up 16.8% from FY2024.
- Annual Revenue has increased for five straight fiscal years, with a five-year compound annual growth rate of 28.1% (FY2020 to FY2025).
- Across earlier fiscal years, Revenue came in at $351.9 million in FY2024 (+15.7%), $304.1 million in FY2023 (+53.9%), $197.6 million in FY2022 (+61.4%) and $122.47 million in FY2021 (+2.7%).
- Quarterly Revenue has ranged from $35.39 million in fiscal Q2 2022 to $130.07 million in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, Revenue has increased for seven consecutive quarters, with growth averaging 15.6% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 102.4% in fiscal Q3 2022, against a decline of 11.1% in fiscal Q4 2021 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $93.17 million (Q2 2026), $114.11 million (Q1 2026) and $130.07 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 92.79 Bn | 90.87 Bn | 1.55 Bn | 9.56 Bn |
| 2 | Ferrovial | 35.38 Bn | 13.63 Bn | - | - |
| 3 | Emcor | 31.89 Bn | 28.28 Bn | 1.02 Bn | 5.15 Bn |
| 4 | Jacobs Solutions | 16.27 Bn | 10.94 Bn | 810.70 Mn | 4.08 Bn |
| 5 | Mastec | 14.89 Bn | 13.67 Bn | 556.28 Mn | 4.37 Bn |
| 6 | Sterling Infrastructure | 12.96 Bn | 11.29 Bn | 289.96 Mn | 1.17 Bn |
| 7 | IES Holdings | 9.98 Bn | 8.84 Bn | 340.66 Mn | 1.24 Bn |
| 8 | Stantec | 7.83 Bn | 6.75 Bn | 1.36 Bn | 3.11 Bn |
| 9 | Aecom | 7.47 Bn | 2.59 Bn | -34.04 Mn | 3.59 Bn |
| 10 | Energy Services of America | 176.17 Mn | 122.46 Mn | 14.32 Mn | 130.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 130.01 Mn |
| Mar 31, 2026 | 93.17 Mn |
| Dec 31, 2025 | 114.11 Mn |
| Sep 30, 2025 | 130.07 Mn |
| Jun 30, 2025 | 103.60 Mn |
| Mar 31, 2025 | 76.68 Mn |
| Dec 31, 2024 | 100.65 Mn |
| Sep 30, 2024 | 104.69 Mn |
| Jun 30, 2024 | 85.92 Mn |
| Mar 31, 2024 | 71.13 Mn |
| Dec 31, 2023 | 90.16 Mn |
| Sep 30, 2023 | 104.86 Mn |
| Jun 30, 2023 | 85.53 Mn |
| Mar 31, 2023 | 53.67 Mn |
| Dec 31, 2022 | 60.04 Mn |
| Sep 30, 2022 | 68.38 Mn |
| Jun 30, 2022 | 51.17 Mn |
| Mar 31, 2022 | 35.39 Mn |
| Dec 31, 2021 | 42.66 Mn |
| Sep 30, 2021 | 39.56 Mn |
Energy Services of America 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=revenue&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=revenue&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();