Energy Services of America (ESOA) Accounts Payables (2010 - 2026)
Energy Services of America's Accounts Payables came in at $30.67 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 25.9% from $24.35 million a year earlier and up 44.2% from the prior quarter.
Energy Services of America (ESOA) Accounts Payables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Energy Services of America's Accounts Payables was $30.73 million, up 29.8% from FY2024.
- Accounts Payables has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 42.5% (FY2020 to FY2025).
- Going back by fiscal year, Accounts Payables was $23.67 million in FY2024 (+7.5%), $22.03 million in FY2023 (+8.4%), $20.31 million in FY2022 (+178.8%) and $7.29 million in FY2021 (+39.5%).
- The five-year range for quarterly Accounts Payables is $6.85 million (fiscal Q2 2022) to $30.73 million (fiscal Q4 2025).
- Year-over-year, Accounts Payables increased in six of the last eight quarters, with growth averaging 14.4%.
- The fastest year-over-year change in Accounts Payables over five years came in fiscal Q3 2022 (growth of 263.9%), and the weakest in fiscal Q1 2026 (a decline of 9.3%).
- Business Quant data shows ESOA's Accounts Payables at $21.27 million (Q2 2026), $24.33 million (Q1 2026) and $30.73 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 89.97 Bn | 88.05 Bn | 1.55 Bn | 5.75 Bn |
| 2 | Ferrovial | 35.96 Bn | 14.21 Bn | - | 4.91 Bn |
| 3 | Emcor | 31.03 Bn | 27.43 Bn | 1.02 Bn | 1.25 Bn |
| 4 | Jacobs Solutions | 16.77 Bn | 11.44 Bn | 810.70 Mn | 1.78 Bn |
| 5 | Mastec | 14.08 Bn | 12.87 Bn | 556.28 Mn | 1.47 Bn |
| 6 | Sterling Infrastructure | 12.66 Bn | 10.99 Bn | 289.96 Mn | 316.02 Mn |
| 7 | IES Holdings | 9.42 Bn | 8.28 Bn | 340.66 Mn | 584.15 Mn |
| 8 | Stantec | 8.00 Bn | 6.93 Bn | 1.36 Bn | 736.43 Mn |
| 9 | Aecom | 7.66 Bn | 2.78 Bn | -34.04 Mn | 2.38 Bn |
| 10 | Energy Services of America | 174.87 Mn | 121.15 Mn | 14.32 Mn | 30.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.67 Mn |
| Mar 31, 2026 | 21.27 Mn |
| Dec 31, 2025 | 24.33 Mn |
| Sep 30, 2025 | 30.73 Mn |
| Jun 30, 2025 | 24.35 Mn |
| Mar 31, 2025 | 22.59 Mn |
| Dec 31, 2024 | 26.83 Mn |
| Sep 30, 2024 | 23.67 Mn |
| Jun 30, 2024 | 19.45 Mn |
| Mar 31, 2024 | 18.67 Mn |
| Dec 31, 2023 | 22.26 Mn |
| Sep 30, 2023 | 22.03 Mn |
| Jun 30, 2023 | 18.83 Mn |
| Mar 31, 2023 | 14.16 Mn |
| Dec 31, 2022 | 14.98 Mn |
| Sep 30, 2022 | 20.31 Mn |
| Jun 30, 2022 | 11.34 Mn |
| Mar 31, 2022 | 6.85 Mn |
| Dec 31, 2021 | 7.34 Mn |
| Sep 30, 2021 | 7.29 Mn |
Energy Services of America Accounts Payables 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=accounts-payables&ticker=ESOA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=ESOA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();