W.W. Grainger (GWW) Change in Accrued Expenses (2009 - 2026)
W.W. Grainger's Change in Accrued Expenses came in at $127 million for Q3 2026, up 98.4% from $64 million a year earlier and up 388.5% from the prior quarter.
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Analysis
W.W. Grainger (GWW) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, W.W. Grainger reported Change in Accrued Expenses of $182 million; for FY2025, it was $38 million, up 90.0% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $20 million in FY2024, -$91 million in FY2023, $218 million in FY2022 (+269.5%) and $59 million in FY2021 (+293.3%).
- The Q3 2026 figure represents the highest quarterly Change in Accrued Expenses since Q4 2022.
- The fastest year-over-year change in Change in Accrued 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 Accrued Expenses at $26 million (Q2 2026), -$5 million (Q1 2026) and $34 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 67.67 Bn | 65.03 Bn | 2.01 Bn | 127.00 Mn |
| 2 | United Rentals | 65.48 Bn | 64.60 Bn | 2.05 Bn | 142.00 Mn |
| 3 | Fastenal | 60.80 Bn | 59.80 Bn | 1.10 Bn | 48.70 Mn |
| 4 | Ferguson Enterprises | 45.51 Bn | 42.73 Bn | 2.32 Bn | 543.00 Mn |
| 5 | Sunbelt Rentals Holdings | 31.50 Bn | 31.38 Bn | 1.25 Bn | 93.00 Mn |
| 6 | Reliance | 21.26 Bn | 20.31 Bn | 1.45 Bn | 133.10 Mn |
| 7 | Wesco International | 14.25 Bn | 11.29 Bn | 1.57 Bn | 71.10 Mn |
| 8 | Watsco | 11.59 Bn | 9.28 Bn | 578.93 Mn | 104.46 Mn |
| 9 | Avantor | 10.49 Bn | 9.07 Bn | 534.80 Mn | -14.70 Mn |
| 10 | Applied Industrial Technologies | 10.39 Bn | 10.28 Bn | 392.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 127.00 Mn |
| 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 |
API Access
W.W. Grainger Change in Accrued 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_KEYimport 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();