Energy Services of America (ESOA) Tax Provisions (2010 - 2026)
Energy Services of America's Tax Provisions came in at $745,041 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 439.9% from $137,987 a year earlier and up 278.6% from the prior quarter.
Energy Services of America (ESOA) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Energy Services of America reported Tax Provisions of $4.17 million; for FY2025 (ended Sep 30, 2025), it was $485,174, down 94.2% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of -15.8% (FY2020 to FY2025).
- Going back by fiscal year, Tax Provisions was $8.42 million in FY2024 (+180.5%), $3 million in FY2023 (+30.4%), $2.3 million in FY2022 and -$29,129 in FY2021.
- The five-year range for quarterly Tax Provisions is -$2.21 million (fiscal Q2 2025) to $6.04 million (fiscal Q3 2024).
- Year-over-year, Tax Provisions increased in three of the last six quarters, with growth averaging 72.3%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q3 2026 (growth of 439.9%), and the weakest in fiscal Q3 2025 (a decline of 97.7%).
- Business Quant data shows ESOA's Tax Provisions at $196,797 (Q2 2026), $1.13 million (Q1 2026) and $2.1 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 157.58 Mn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | - |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 147.97 Mn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 104.64 Mn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 48.00 Mn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 51.32 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 51.29 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | 61.88 Mn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | -26.57 Mn |
| 10 | Energy Services of America | 174.87 Mn | 121.15 Mn | 14.32 Mn | 745,041.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 745,041.00 |
| Mar 31, 2026 | 196,797.00 |
| Dec 31, 2025 | 1.13 Mn |
| Sep 30, 2025 | 2.10 Mn |
| Jun 30, 2025 | 137,987.00 |
| Mar 31, 2025 | -2.21 Mn |
| Dec 31, 2024 | 455,463.00 |
| Sep 30, 2024 | 1.69 Mn |
| Jun 30, 2024 | 6.04 Mn |
| Mar 31, 2024 | -373,052.00 |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 2.23 Mn |
| Jun 30, 2023 | 1.50 Mn |
| Mar 31, 2023 | -650,160.00 |
| Dec 31, 2022 | -79,612.00 |
| Sep 30, 2022 | 1.35 Mn |
| Jun 30, 2022 | 651,396.00 |
| Mar 31, 2022 | -200,463.00 |
| Dec 31, 2021 | 494,283.00 |
| Sep 30, 2021 | 429,683.00 |
Energy Services of America Tax Provisions 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=tax-provisions&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();