Eaco (EACO) Change in Accured Expenses (2010 - 2026)
Eaco (EACO) recorded Change in Accured Expenses of $16.11 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 170.9% from $5.95 million a year earlier.
Eaco (EACO) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Eaco's Change in Accured Expenses came in at $8.39 million as of May 31, 2026, up 93.6% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $4.85 million, down 43.2% from FY2024.
- Across earlier fiscal years, Change in Accured Expenses came in at $8.54 million in FY2024 (+529.9%), $1.36 million in FY2023 (-66.6%), $4.06 million in FY2022 (-6.4%) and $4.33 million in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Change in Accured Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 62.6%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 773.1% in fiscal Q4 2021, against a decline of 33.5% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$3.62 million (Q2 2026), -$12.37 million (Q1 2026) and $8.27 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 68.92 Bn | 68.04 Bn | 2.05 Bn | 142.00 Mn |
| 2 | W.W. Grainger | 64.06 Bn | 62.04 Bn | 1.98 Bn | 26.00 Mn |
| 3 | Fastenal | 60.50 Bn | 59.49 Bn | 1.10 Bn | 48.70 Mn |
| 4 | Ferguson Enterprises | 44.11 Bn | 41.32 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 32.31 Bn | 32.19 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 21.38 Bn | 20.42 Bn | 1.30 Bn | 99.70 Mn |
| 7 | Wesco International | 15.77 Bn | 13.08 Bn | 1.46 Bn | 61.30 Mn |
| 8 | Applied Industrial Technologies | 11.75 Bn | 11.63 Bn | 411.22 Mn | - |
| 9 | Watsco | 11.64 Bn | 9.81 Bn | 578.93 Mn | 104.46 Mn |
| 10 | Eaco | 607.70 Mn | 482.28 Mn | 44.45 Mn | 16.11 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 16.11 Mn |
| Feb 28, 2026 | -3.62 Mn |
| Nov 30, 2025 | -12.37 Mn |
| Aug 31, 2025 | 8.27 Mn |
| May 31, 2025 | 5.95 Mn |
| Feb 28, 2025 | -6.53 Mn |
| Nov 30, 2024 | -2.84 Mn |
| Aug 31, 2024 | 7.75 Mn |
| May 31, 2024 | 8.95 Mn |
| Feb 29, 2024 | -5.91 Mn |
| Nov 30, 2023 | -2.26 Mn |
| Aug 31, 2023 | 3.75 Mn |
| May 31, 2023 | 2.45 Mn |
| Feb 28, 2023 | -4.07 Mn |
| Nov 30, 2022 | -768,000.00 |
| Aug 31, 2022 | 3.83 Mn |
| May 31, 2022 | 2.75 Mn |
| Feb 28, 2022 | -3.27 Mn |
| Nov 30, 2021 | 744,000.00 |
| Aug 31, 2021 | 5.62 Mn |
Eaco Change in Accured 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=change-in-accured-expenses&ticker=EACO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=EACO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();