W.W. Grainger (GWW) Operating Expenses (2009 - 2026)
W.W. Grainger's (GWW) quarterly Operating Expenses came in at $1.2 billion in Q2 2026, up 9.29% year-over-year from $1.1 billion in Q2 2025, and up 6.71% quarter-over-quarter from $1.1 billion in Q1 2026.
W.W. Grainger (GWW) Operating Expenses (2009 - 2026) Analysis & Trends
W.W. Grainger (GWW) has reported Operating Expenses for 18 consecutive years, with $1.2 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 9.29% year-over-year to $1.2 billion in Q2 2026; TTM through Jun 2026 was $4.7 billion, a 11.62% increase from a year earlier, with the FY2025 full-year figure at $4.5 billion, up 9.54% from the prior year.
- Operating Expenses was $1.2 billion for Q2 2026 at W.W. Grainger, up from $1.1 billion in the prior quarter.
- Over five years, Operating Expenses peaked at $1.3 billion in Q3 2025 and troughed at $849.0 million in Q1 2022.
- A 5-year average of $1.0 billion and a median of $1.0 billion in 2023 frame the typical range for Operating Expenses.
- The widest YoY moves for Operating Expenses: up 24.47% in 2025, down 3.06% in 2025.
- Over 5 years, Operating Expenses stood at $962.0 million in 2022, then rose by 4.57% to $1.0 billion in 2023, then advanced by 3.68% to $1.0 billion in 2024, then climbed by 6.62% to $1.1 billion in 2025, then increased by 5.85% to $1.2 billion in 2026.
- The last three Operating Expenses figures came in at $1.2 billion (Q2 2026), $1.1 billion (Q1 2026), and $1.1 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.74 Bn | 59.53 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 57.47 Bn | 57.26 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 42.93 Bn | 42.11 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 31.01 Bn | 30.98 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.76 Bn | 19.53 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.65 Bn | 16.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.14 Bn | 12.02 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 11.58 Bn | 11.60 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.11 Bn | 9.80 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Core & Main | 7.93 Bn | 7.69 Bn | 573.00 Mn | 346.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.10 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.08 Bn |
| Mar 31, 2025 | 1.04 Bn |
| Dec 31, 2024 | 1.04 Bn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | 1.05 Bn |
| Mar 31, 2024 | 999.00 Mn |
| Dec 31, 2023 | 1.01 Bn |
| Sep 30, 2023 | 988.00 Mn |
| Jun 30, 2023 | 983.00 Mn |
| Mar 31, 2023 | 954.00 Mn |
| Dec 31, 2022 | 962.00 Mn |
| Sep 30, 2022 | 916.00 Mn |
| Jun 30, 2022 | 907.00 Mn |
| Mar 31, 2022 | 849.00 Mn |
| Dec 31, 2021 | 836.00 Mn |
| Sep 30, 2021 | 812.00 Mn |
W.W. Grainger Operating 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=operating-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();