Eaco (EACO) EBITDA (2010 - 2026)
Eaco's EBITDA was $18.45 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 43.3% from $12.87 million a year earlier and up 39.4% from the prior quarter.
Eaco (EACO) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eaco's EBITDA was $56.48 million through May 31, 2026, up 34.6% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $43.52 million, up 89.0% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- In earlier fiscal years, EBITDA was $23.02 million in FY2024 (-20.3%), $28.88 million in FY2023 (-6.9%), $31.02 million in FY2022 (+117.9%) and $14.24 million in FY2021 (+22.1%).
- The fiscal Q3 2026 figure marks the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- Compared with a year earlier, EBITDA has increased for eight straight quarters, with growth averaging 118.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was fiscal Q3 2025 (growth of 526.3%); the worst was fiscal Q3 2024 (a decline of 71.9%).
- Per Business Quant data, EACO's EBITDA in the three fiscal quarters before Q3 2026 was $13.23 million (Q2 2026), $12.94 million (Q1 2026) and $11.87 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 1.26 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 873.00 Mn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 575.70 Mn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 709.00 Mn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 1.28 Bn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 511.10 Mn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 444.90 Mn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 175.57 Mn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 229.10 Mn |
| 10 | Eaco | 607.70 Mn | 482.28 Mn | 44.45 Mn | 18.45 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 18.45 Mn |
| Feb 28, 2026 | 13.23 Mn |
| Nov 30, 2025 | 12.94 Mn |
| Aug 31, 2025 | 11.87 Mn |
| May 31, 2025 | 12.87 Mn |
| Feb 28, 2025 | 9.52 Mn |
| Nov 30, 2024 | 9.28 Mn |
| Aug 31, 2024 | 10.28 Mn |
| May 31, 2024 | 2.06 Mn |
| Feb 29, 2024 | 7.92 Mn |
| Nov 30, 2023 | 2.77 Mn |
| Aug 31, 2023 | 8.23 Mn |
| May 31, 2023 | 7.31 Mn |
| Feb 28, 2023 | 7.01 Mn |
| Nov 30, 2022 | 6.34 Mn |
| Aug 31, 2022 | 8.89 Mn |
| May 31, 2022 | 7.41 Mn |
| Feb 28, 2022 | 5.06 Mn |
| Nov 30, 2021 | 9.67 Mn |
| Aug 31, 2021 | 4.80 Mn |
Eaco EBITDA 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=ebitda&ticker=EACO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EACO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();