Eaco (EACO) Operating Expenses (2010 - 2026)
Eaco (EACO) recorded Operating Expenses of $26.45 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 22.3% from $21.63 million a year earlier and up 12.8% from the prior quarter.
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Analysis
Eaco (EACO) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Eaco's Operating Expenses came in at $97.61 million as of May 31, 2026, up 20.8% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $86.86 million, up 7.3% from FY2024.
- Annual Operating Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $80.97 million in FY2024 (+24.7%), $64.94 million in FY2023 (+20.3%), $53.97 million in FY2022 (+12.3%) and $48.07 million in FY2021 (-5.6%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 76.3% in fiscal Q1 2023, against a decline of 29.9% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $23.44 million (Q2 2026), $21.85 million (Q1 2026) and $25.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.37 Bn | 67.13 Bn | 1.73 Bn | 1.18 Bn |
| 2 | W.W. Grainger | 62.41 Bn | 60.01 Bn | 1.98 Bn | 1.18 Bn |
| 3 | Fastenal | 58.95 Bn | 57.95 Bn | 1.10 Bn | 573.90 Mn |
| 4 | Ferguson Enterprises | 44.08 Bn | 41.29 Bn | 2.32 Bn | 1.61 Bn |
| 5 | Sunbelt Rentals Holdings | 32.30 Bn | 32.18 Bn | 1.25 Bn | 989.00 Mn |
| 6 | Reliance | 21.23 Bn | 20.27 Bn | 1.30 Bn | 4.19 Bn |
| 7 | Wesco International | 16.07 Bn | 13.39 Bn | 1.46 Bn | 1.02 Bn |
| 8 | Applied Industrial Technologies | 12.10 Bn | 11.97 Bn | 411.22 Mn | 251.91 Mn |
| 9 | Watsco | 11.92 Bn | 9.60 Bn | 578.93 Mn | 348.99 Mn |
| 10 | Eaco | 607.70 Mn | 482.28 Mn | 44.45 Mn | 26.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 26.45 Mn |
| Feb 28, 2026 | 23.44 Mn |
| Nov 30, 2025 | 21.85 Mn |
| Aug 31, 2025 | 25.88 Mn |
| May 31, 2025 | 21.63 Mn |
| Feb 28, 2025 | 20.41 Mn |
| Nov 30, 2024 | 18.94 Mn |
| Aug 31, 2024 | 19.84 Mn |
| May 31, 2024 | 26.31 Mn |
| Feb 29, 2024 | 17.60 Mn |
| Nov 30, 2023 | 17.22 Mn |
| Aug 31, 2023 | 17.37 Mn |
| May 31, 2023 | 16.28 Mn |
| Feb 28, 2023 | 15.61 Mn |
| Nov 30, 2022 | 15.69 Mn |
| Aug 31, 2022 | 17.09 Mn |
| May 31, 2022 | 14.55 Mn |
| Feb 28, 2022 | 13.44 Mn |
| Nov 30, 2021 | 8.90 Mn |
| Aug 31, 2021 | 10.05 Mn |
API Access
Eaco Operating 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=operating-expenses&ticker=EACO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EACO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();