Energy Services of America (ESOA) Change in Accured Expenses (2010 - 2026)
Energy Services of America's Change in Accured Expenses came in at $4.3 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 30.5% from $3.29 million a year earlier and up 91.7% from the prior quarter.
Energy Services of America (ESOA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Energy Services of America reported Change in Accured Expenses of $3.54 million; for FY2025 (ended Sep 30, 2025), it came in at -$646,233.
- Going back by fiscal year, Change in Accured Expenses was $2.92 million in FY2024 (+56.3%), $1.87 million in FY2023 (-65.5%), $5.42 million in FY2022 (+468.2%) and $953,534 in FY2021 (+31.0%).
- The fiscal Q3 2026 figure represents the highest quarterly Change in Accured Expenses since fiscal Q3 2024.
- Year-over-year, Change in Accured Expenses increased in three of the last four quarters, with growth averaging 107.1%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q2 2026 (growth of 388.6%), and the weakest in fiscal Q3 2025 (a decline of 51.6%).
- Business Quant data shows ESOA's Change in Accured Expenses at $2.24 million (Q2 2026), -$2.56 million (Q1 2026) and -$442,495 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 80.82 Bn | 78.90 Bn | 1.55 Bn | 762.98 Mn |
| 2 | Ferrovial | 35.53 Bn | 13.78 Bn | - | - |
| 3 | Emcor | 28.71 Bn | 25.10 Bn | 1.02 Bn | - |
| 4 | Jacobs Solutions | 16.91 Bn | 11.58 Bn | 810.70 Mn | -74.92 Mn |
| 5 | Mastec | 13.18 Bn | 11.96 Bn | 556.28 Mn | 143.25 Mn |
| 6 | Sterling Infrastructure | 10.80 Bn | 9.13 Bn | 289.96 Mn | - |
| 7 | IES Holdings | 8.62 Bn | 7.48 Bn | 340.66 Mn | 72.13 Mn |
| 8 | Stantec | 8.08 Bn | 7.01 Bn | 1.36 Bn | - |
| 9 | Aecom | 7.57 Bn | 2.69 Bn | -34.04 Mn | 34.76 Mn |
| 10 | Energy Services of America | 169.46 Mn | 115.75 Mn | 14.32 Mn | 4.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.30 Mn |
| Mar 31, 2026 | 2.24 Mn |
| Dec 31, 2025 | -2.56 Mn |
| Sep 30, 2025 | -442,495.00 |
| Jun 30, 2025 | 3.29 Mn |
| Mar 31, 2025 | 459,215.00 |
| Dec 31, 2024 | -3.96 Mn |
| Sep 30, 2024 | -1.65 Mn |
| Jun 30, 2024 | 6.81 Mn |
| Mar 31, 2024 | 285,444.00 |
| Dec 31, 2023 | -2.52 Mn |
| Sep 30, 2023 | 2.84 Mn |
| Jun 30, 2023 | 2.04 Mn |
| Mar 31, 2023 | -558,905.00 |
| Dec 31, 2022 | -2.45 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 1.77 Mn |
| Mar 31, 2022 | -377,255.00 |
| Dec 31, 2021 | 837,579.00 |
| Sep 30, 2021 | 2.04 Mn |
Energy Services of America Change in Accured 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=change-in-accured-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();