Eaco (EACO) Total Liabilities (2011 - 2026)
Eaco (EACO) posted Total Liabilities of $79.61 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 10.8% from $71.83 million a year earlier and up 24.3% from the prior quarter.
Eaco (EACO) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Eaco's Total Liabilities came in at $74.3 million, up 14.5% from FY2024.
- Annual Total Liabilities has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 8.7% (FY2020 to FY2025).
- In prior fiscal years, Eaco's Total Liabilities was $64.91 million in FY2024 (+21.3%), $53.52 million in FY2023 (+3.1%), $51.93 million in FY2022 (+20.0%) and $43.26 million in FY2021 (-11.6%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 16.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2025, with growth of 37.8%; the weakest was fiscal Q4 2021, with a decline of 11.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $64.07 million (Q2 2026), $64.44 million (Q1 2026) and $74.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 66.79 Bn | 65.55 Bn | 1.73 Bn | 22.09 Bn |
| 2 | W.W. Grainger | 63.72 Bn | 61.32 Bn | 1.98 Bn | 5.11 Bn |
| 3 | Fastenal | 60.28 Bn | 59.28 Bn | 1.10 Bn | 1.35 Bn |
| 4 | Ferguson Enterprises | 44.38 Bn | 41.59 Bn | 2.32 Bn | 11.92 Bn |
| 5 | Sunbelt Rentals Holdings | 32.28 Bn | 32.16 Bn | 1.25 Bn | 16.17 Bn |
| 6 | Reliance | 21.45 Bn | 20.49 Bn | 1.30 Bn | 3.75 Bn |
| 7 | Wesco International | 17.03 Bn | 14.34 Bn | 1.46 Bn | 12.59 Bn |
| 8 | Applied Industrial Technologies | 12.67 Bn | 12.54 Bn | 411.22 Mn | 1.15 Bn |
| 9 | Avantor | 11.71 Bn | 10.50 Bn | 537.00 Mn | 5.97 Bn |
| 10 | Eaco | 607.70 Mn | 482.28 Mn | 44.45 Mn | 79.61 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 79.61 Mn |
| Feb 28, 2026 | 64.07 Mn |
| Nov 30, 2025 | 64.44 Mn |
| Aug 31, 2025 | 74.30 Mn |
| May 31, 2025 | 71.83 Mn |
| Feb 28, 2025 | 62.65 Mn |
| Nov 30, 2024 | 68.30 Mn |
| Aug 31, 2024 | 64.91 Mn |
| May 31, 2024 | 59.82 Mn |
| Feb 29, 2024 | 45.47 Mn |
| Nov 30, 2023 | 52.34 Mn |
| Aug 31, 2023 | 53.52 Mn |
| May 31, 2023 | 47.47 Mn |
| Feb 28, 2023 | 48.30 Mn |
| Nov 30, 2022 | 50.89 Mn |
| Aug 31, 2022 | 51.93 Mn |
| May 31, 2022 | 45.95 Mn |
| Feb 28, 2022 | 44.01 Mn |
| Nov 30, 2021 | 44.85 Mn |
| Aug 31, 2021 | 43.26 Mn |
Eaco 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=EACO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EACO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();