Energy Services of America (ESOA) EBITDA (2010 - 2026)
Energy Services of America (ESOA) reported EBITDA of $8.33 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 28.9% from $6.46 million a year earlier and up 76.7% from the prior quarter.
Energy Services of America (ESOA) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Energy Services of America's EBITDA came in at $33.06 million, up 94.6% year-over-year; for FY2025 (ended Sep 30, 2025), it was $17.24 million, down 40.2% from FY2024.
- EBITDA has a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $28.81 million in FY2024 (+38.2%), $20.84 million in FY2023 (+66.7%), $12.51 million in FY2022 (+231.8%) and $3.77 million in FY2021 (-53.3%).
- Five-year quarterly EBITDA spans a low of -$4.91 million in fiscal Q2 2025 and a high of $11.35 million in fiscal Q4 2025.
- Year over year, EBITDA gained in four of the last six quarters, with growth averaging 11.4%.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2022 (growth of 836.2%); the low point was fiscal Q1 2023 (a decline of 73.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $4.71 million (Q2 2026), $8.67 million (Q1 2026) and $11.35 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.81 Bn | 87.89 Bn | 1.55 Bn | 968.93 Mn |
| 2 | Ferrovial | 35.40 Bn | 13.65 Bn | - | - |
| 3 | Emcor | 31.21 Bn | 27.60 Bn | 1.02 Bn | 601.60 Mn |
| 4 | Jacobs Solutions | 16.43 Bn | 11.10 Bn | 810.70 Mn | 343.89 Mn |
| 5 | Mastec | 14.65 Bn | 13.43 Bn | 556.28 Mn | 351.08 Mn |
| 6 | Sterling Infrastructure | 12.67 Bn | 10.99 Bn | 289.96 Mn | 244.44 Mn |
| 7 | IES Holdings | 9.64 Bn | 8.50 Bn | 340.66 Mn | 195.65 Mn |
| 8 | Stantec | 7.86 Bn | 6.79 Bn | 1.36 Bn | 458.26 Mn |
| 9 | Aecom | 7.59 Bn | 2.71 Bn | -34.04 Mn | -20.06 Mn |
| 10 | Energy Services of America | 174.12 Mn | 120.41 Mn | 14.32 Mn | 8.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.33 Mn |
| Mar 31, 2026 | 4.71 Mn |
| Dec 31, 2025 | 8.67 Mn |
| Sep 30, 2025 | 11.35 Mn |
| Jun 30, 2025 | 6.46 Mn |
| Mar 31, 2025 | -4.91 Mn |
| Dec 31, 2024 | 4.34 Mn |
| Sep 30, 2024 | 11.10 Mn |
| Jun 30, 2024 | 10.76 Mn |
| Mar 31, 2024 | 1.14 Mn |
| Dec 31, 2023 | 5.82 Mn |
| Sep 30, 2023 | 10.81 Mn |
| Jun 30, 2023 | 7.46 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 828,048.00 |
| Sep 30, 2022 | 4.47 Mn |
| Jun 30, 2022 | 4.12 Mn |
| Mar 31, 2022 | 813,509.00 |
| Dec 31, 2021 | 3.10 Mn |
| Sep 30, 2021 | 3.74 Mn |
Energy Services of America EBITDA 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=ebitda&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();