W.W. Grainger (GWW) Accumulated Expenses (2009 - 2026)
W.W. Grainger's Accumulated Expenses was $389 million in Q2 2026, down 6.0% from $414 million a year earlier and down 8.0% from the prior quarter.
W.W. Grainger (GWW) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at W.W. Grainger came in at $386 million, down 5.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $407 million in FY2024 (+2.5%), $397 million in FY2023 (-16.2%), $474 million in FY2022 (+63.4%) and $290 million in FY2021 (+16.9%).
- Quarterly Accumulated Expenses has moved between $290 million (Q4 2021) and $474 million (Q4 2022) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with an average decline of 1.7%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q4 2022 (growth of 63.4%); the worst was Q4 2023 (a decline of 16.2%).
- Per Business Quant data, GWW's Accumulated Expenses in the three quarters before Q2 2026 was $423 million (Q1 2026), $386 million (Q4 2025) and $410 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 64.44 Bn | 63.20 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.37 Bn | 58.35 Bn | 1.98 Bn |
| 3 | Fastenal | 57.63 Bn | 56.55 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.02 Bn | 40.24 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.00 Bn | 30.88 Bn | 1.25 Bn |
| 6 | Reliance | 20.06 Bn | 19.10 Bn | 1.30 Bn |
| 7 | Wesco International | 18.10 Bn | 15.41 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.49 Bn | 12.37 Bn | 411.22 Mn |
| 9 | Watsco | 10.72 Bn | 8.88 Bn | 578.93 Mn |
| 10 | Avantor | 10.17 Bn | 8.97 Bn | 537.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 389.00 Mn |
| Mar 31, 2026 | 423.00 Mn |
| Dec 31, 2025 | 386.00 Mn |
| Sep 30, 2025 | 410.00 Mn |
| Jun 30, 2025 | 414.00 Mn |
| Mar 31, 2025 | 412.00 Mn |
| Dec 31, 2024 | 407.00 Mn |
| Sep 30, 2024 | 429.00 Mn |
| Jun 30, 2024 | 424.00 Mn |
| Mar 31, 2024 | 444.00 Mn |
| Dec 31, 2023 | 397.00 Mn |
| Sep 30, 2023 | 403.00 Mn |
| Jun 30, 2023 | 368.00 Mn |
| Mar 31, 2023 | 372.00 Mn |
| Dec 31, 2022 | 474.00 Mn |
| Sep 30, 2022 | 332.00 Mn |
| Jun 30, 2022 | 299.00 Mn |
| Mar 31, 2022 | 324.00 Mn |
| Dec 31, 2021 | 290.00 Mn |
| Sep 30, 2021 | 336.00 Mn |
W.W. Grainger Accumulated 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=accumulated-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();