Energy Services of America (ESOA) Accumulated Expenses (2010 - 2026)
Energy Services of America's Accumulated Expenses came in at $20.63 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 29.5% from $15.93 million a year earlier and up 27.7% from the prior quarter.
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Analysis
Energy Services of America (ESOA) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Energy Services of America's Accumulated Expenses was $15.92 million, up 14.9% from FY2024.
- Accumulated Expenses has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $13.86 million in FY2024 (+5.7%), $13.1 million in FY2023 (+16.3%), $11.27 million in FY2022 (+101.2%) and $5.6 million in FY2021 (+32.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2010.
- Year-over-year, Accumulated Expenses has increased for six consecutive quarters, with growth averaging 17.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 169.7%), and the weakest in fiscal Q1 2025 (a decline of 11.0%).
- Business Quant data shows ESOA's Accumulated Expenses at $16.15 million (Q2 2026), $13.19 million (Q1 2026) and $15.92 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.05 Bn | 1.55 Bn |
| 2 | Ferrovial | 35.66 Bn | 13.90 Bn | - |
| 3 | Emcor | 29.32 Bn | 25.72 Bn | 1.02 Bn |
| 4 | Jacobs Solutions | 17.23 Bn | 11.89 Bn | 810.70 Mn |
| 5 | Mastec | 13.41 Bn | 12.19 Bn | 556.28 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.77 Bn | 289.96 Mn |
| 7 | IES Holdings | 8.76 Bn | 7.62 Bn | 340.66 Mn |
| 8 | Stantec | 8.31 Bn | 7.23 Bn | 1.36 Bn |
| 9 | Aecom | 7.82 Bn | 2.94 Bn | -34.04 Mn |
| 10 | Energy Services of America | 171.14 Mn | 117.43 Mn | 14.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.63 Mn |
| Mar 31, 2026 | 16.15 Mn |
| Dec 31, 2025 | 13.19 Mn |
| Sep 30, 2025 | 15.92 Mn |
| Jun 30, 2025 | 15.93 Mn |
| Mar 31, 2025 | 12.75 Mn |
| Dec 31, 2024 | 10.30 Mn |
| Sep 30, 2024 | 13.86 Mn |
| Jun 30, 2024 | 12.02 Mn |
| Mar 31, 2024 | 10.88 Mn |
| Dec 31, 2023 | 11.58 Mn |
| Sep 30, 2023 | 13.10 Mn |
| Jun 30, 2023 | 10.32 Mn |
| Mar 31, 2023 | 8.26 Mn |
| Dec 31, 2022 | 8.81 Mn |
| Sep 30, 2022 | 11.27 Mn |
| Jun 30, 2022 | 7.83 Mn |
| Mar 31, 2022 | 6.12 Mn |
| Dec 31, 2021 | 5.57 Mn |
| Sep 30, 2021 | 5.60 Mn |
API Access
Energy Services of America Accumulated 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=accumulated-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();