W.W. Grainger (GWW) Other Operating Expenses (2009 - 2011)
W.W. Grainger's Other Operating Expenses came in at -$3.17 billion for Q3 2026, compared with -$2.86 billion a year earlier.
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Analysis
W.W. Grainger (GWW) Other Operating Expenses (2009 - 2011) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, W.W. Grainger reported Other Operating Expenses of -$11.73 billion; for FY2025, it was -$10.93 billion.
- Going back by year, Other Operating Expenses was -$10.41 billion in FY2024, -$9.98 billion in FY2023, -$9.38 billion in FY2022 and -$8.3 billion in FY2021.
- The Q3 2026 figure represents the lowest quarterly Other Operating Expenses in data going back to Q1 2009.
- Business Quant data shows GWW's Other Operating Expenses at -$3.04 billion (Q2 2026), -$2.85 billion (Q1 2026) and -$2.68 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 69.71 Bn | 67.47 Bn | 2.01 Bn |
| 2 | United Rentals | 69.67 Bn | 68.79 Bn | 2.05 Bn |
| 3 | Fastenal | 63.32 Bn | 62.32 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 49.80 Bn | 47.02 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.71 Bn | 33.59 Bn | 1.25 Bn |
| 6 | Reliance | 21.79 Bn | 20.85 Bn | 1.45 Bn |
| 7 | Wesco International | 15.66 Bn | 12.70 Bn | 1.57 Bn |
| 8 | Qxo | 13.09 Bn | 4.38 Bn | 1.38 Bn |
| 9 | Watsco | 11.10 Bn | 9.17 Bn | 586.29 Mn |
| 10 | Applied Industrial Technologies | 10.86 Bn | 10.75 Bn | 392.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2011 | -567.00 Mn |
| Dec 31, 2010 | -551.73 Mn |
| Sep 30, 2010 | -538.45 Mn |
| Jun 30, 2010 | -532.17 Mn |
| Mar 31, 2010 | -522.86 Mn |
| Dec 31, 2009 | -518.84 Mn |
| Sep 30, 2009 | -473.22 Mn |
| Jun 30, 2009 | -471.04 Mn |
| Mar 31, 2009 | -470.20 Mn |
API Access
W.W. Grainger Other 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=other-operating-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();