W.W. Grainger (GWW) Change in Accured Expenses (2009 - 2026)
W.W. Grainger's Change in Accured Expenses came in at $26 million for Q2 2026, compared with -$18 million a year earlier.
W.W. Grainger (GWW) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, W.W. Grainger reported Change in Accured Expenses of $119 million; for FY2025, it was $38 million, up 90.0% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was $20 million in FY2024, -$91 million in FY2023, $218 million in FY2022 (+269.5%) and $59 million in FY2021 (+293.3%).
- The five-year range for quarterly Change in Accured Expenses is -$193 million (Q1 2023) to $167 million (Q4 2022).
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q4 2021 (growth of 157.1%), and the weakest in Q4 2023 (a decline of 99.4%).
- Business Quant data shows GWW's Change in Accured Expenses at -$5 million (Q1 2026), $34 million (Q4 2025) and $64 million (Q3 2025) in the three quarters before Q2 2026.
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 |
|---|---|
| Jun 30, 2026 | 26.00 Mn |
| Mar 31, 2026 | -5.00 Mn |
| Dec 31, 2025 | 34.00 Mn |
| Sep 30, 2025 | 64.00 Mn |
| Jun 30, 2025 | -18.00 Mn |
| Mar 31, 2025 | -42.00 Mn |
| Dec 31, 2024 | -16.00 Mn |
| Sep 30, 2024 | 54.00 Mn |
| Jun 30, 2024 | 17.00 Mn |
| Mar 31, 2024 | -35.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 77.00 Mn |
| Jun 30, 2023 | 24.00 Mn |
| Mar 31, 2023 | -193.00 Mn |
| Dec 31, 2022 | 167.00 Mn |
| Sep 30, 2022 | 59.00 Mn |
| Jun 30, 2022 | 45.00 Mn |
| Mar 31, 2022 | -53.00 Mn |
| Dec 31, 2021 | 72.00 Mn |
| Sep 30, 2021 | -6.00 Mn |
W.W. Grainger 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=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GWW", "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=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();