Eaco (EACO) Accumulated Expenses (2011 - 2026)
Eaco's Accumulated Expenses came in at $29.89 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 39.0% from $21.49 million a year earlier and up 117.0% from the prior quarter.
Eaco (EACO) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Eaco's Accumulated Expenses was $29.76 million, up 19.5% from FY2024.
- Accumulated Expenses has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 35.0% (FY2020 to FY2025).
- Going back by fiscal year, Accumulated Expenses was $24.91 million in FY2024 (+52.1%), $16.38 million in FY2023 (+9.0%), $15.02 million in FY2022 (+37.0%) and $10.96 million in FY2021 (+65.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2011.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 31.1%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q3 2022 (growth of 109.6%), and the weakest in fiscal Q1 2026 (a decline of 21.2%).
- Business Quant data shows EACO's Accumulated Expenses at $13.77 million (Q2 2026), $17.39 million (Q1 2026) and $29.76 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn |
| 10 | Eaco | 607.70 Mn | 482.28 Mn | 44.45 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 29.89 Mn |
| Feb 28, 2026 | 13.77 Mn |
| Nov 30, 2025 | 17.39 Mn |
| Aug 31, 2025 | 29.76 Mn |
| May 31, 2025 | 21.49 Mn |
| Feb 28, 2025 | 15.55 Mn |
| Nov 30, 2024 | 22.07 Mn |
| Aug 31, 2024 | 24.91 Mn |
| May 31, 2024 | 17.16 Mn |
| Feb 29, 2024 | 8.21 Mn |
| Nov 30, 2023 | 14.12 Mn |
| Aug 31, 2023 | 16.38 Mn |
| May 31, 2023 | 12.62 Mn |
| Feb 28, 2023 | 10.18 Mn |
| Nov 30, 2022 | 14.25 Mn |
| Aug 31, 2022 | 15.02 Mn |
| May 31, 2022 | 11.19 Mn |
| Feb 28, 2022 | 8.44 Mn |
| Nov 30, 2021 | 11.71 Mn |
| Aug 31, 2021 | 10.96 Mn |
Eaco 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=EACO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EACO", "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=EACO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();