Energy Services of America (ESOA) Total Liabilities (2010 - 2026)
Energy Services of America (ESOA) posted Total Liabilities of $135.45 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 0.6% from $134.67 million a year earlier and up 20.6% from the prior quarter.
Energy Services of America (ESOA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Energy Services of America's Total Liabilities came in at $155.97 million, up 56.7% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 37.0% (FY2020 to FY2025).
- In prior fiscal years, Energy Services of America's Total Liabilities was $99.55 million in FY2024 (-7.8%), $107.92 million in FY2023 (+27.9%), $84.39 million in FY2022 (+85.4%) and $45.52 million in FY2021 (+40.8%).
- Quarterly Total Liabilities has run from a low of $42.47 million in fiscal Q2 2022 to a high of $155.97 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 17.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2022, with growth of 150.6%; the weakest was fiscal Q4 2024, with a decline of 7.8%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $112.35 million (Q2 2026), $140.39 million (Q1 2026) and $155.97 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 18.55 Bn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | 25.27 Bn |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 6.08 Bn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 8.48 Bn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 7.33 Bn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 1.80 Bn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 1.05 Bn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | 3.38 Bn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 9.63 Bn |
| 10 | Energy Services of America | 174.87 Mn | 121.15 Mn | 14.32 Mn | 135.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.45 Mn |
| Mar 31, 2026 | 112.35 Mn |
| Dec 31, 2025 | 140.39 Mn |
| Sep 30, 2025 | 155.97 Mn |
| Jun 30, 2025 | 134.67 Mn |
| Mar 31, 2025 | 116.54 Mn |
| Dec 31, 2024 | 131.15 Mn |
| Sep 30, 2024 | 99.55 Mn |
| Jun 30, 2024 | 96.81 Mn |
| Mar 31, 2024 | 101.55 Mn |
| Dec 31, 2023 | 100.74 Mn |
| Sep 30, 2023 | 107.92 Mn |
| Jun 30, 2023 | 100.37 Mn |
| Mar 31, 2023 | 79.24 Mn |
| Dec 31, 2022 | 79.54 Mn |
| Sep 30, 2022 | 84.39 Mn |
| Jun 30, 2022 | 60.49 Mn |
| Mar 31, 2022 | 42.47 Mn |
| Dec 31, 2021 | 48.88 Mn |
| Sep 30, 2021 | 45.52 Mn |
Energy Services of America Total Liabilities 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=total-liabilities&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();