Ferguson Enterprises (FERG) Change in Accured Expenses (2023 - 2026)
Ferguson Enterprises' Change in Accured Expenses came in at $543 million for Q3 2026, down 17.2% from $656 million a year earlier.
Ferguson Enterprises (FERG) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Ferguson Enterprises reported Change in Accured Expenses of $862 million; for FY2025, it was $278 million.
- Change in Accured Expenses carries a three-year compound annual growth rate of -13.9% (FY2022 to FY2025).
- Going back by year, Change in Accured Expenses was $11 million in FY2024, -$196 million in FY2023 and $436 million in FY2022.
- The five-year range for quarterly Change in Accured Expenses is -$653 million (Q2 2024) to $733 million (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn | 150.00 Mn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn | 26.00 Mn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn | 45.70 Mn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn | 99.70 Mn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn | 61.30 Mn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn | - |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn | 104.46 Mn |
| 10 | Avantor | 10.38 Bn | 9.17 Bn | 537.00 Mn | 14.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 543.00 Mn |
| Oct 31, 2025 | -371.00 Mn |
| Jul 31, 2025 | 34.00 Mn |
| Mar 31, 2025 | 656.00 Mn |
| Jan 31, 2025 | -431.00 Mn |
| Oct 31, 2024 | -169.00 Mn |
| Jul 31, 2024 | -96.00 Mn |
| Apr 30, 2024 | 733.00 Mn |
| Jan 31, 2024 | -653.00 Mn |
| Oct 31, 2023 | 27.00 Mn |
Ferguson Enterprises 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=FERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "FERG", "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=FERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();