W.W. Grainger (GWW) Interest Expenses (2009 - 2019)
W.W. Grainger (GWW) reported Interest Expenses of $81 million for FY2025, up 5.2% from $77 million in FY2024.
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Analysis
W.W. Grainger (GWW) Interest Expenses (2009 - 2019) Analysis & Trends
Dating back to FY2009, W.W. Grainger's Interest Expenses record includes 13 years.
- According to Business Quant data, Interest Expenses came in at $77 million in FY2024 (-17.2%) and $93 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | - |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 1.20 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | - |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | - |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 18.20 Mn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | - |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | - |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | - |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 39.40 Mn |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn | 32.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 21.00 Mn |
| Jun 30, 2019 | 22.00 Mn |
| Mar 31, 2019 | 21.00 Mn |
| Dec 31, 2018 | 18.00 Mn |
| Sep 30, 2018 | 22.00 Mn |
| Jun 30, 2018 | 23.00 Mn |
| Mar 31, 2018 | 25.00 Mn |
| Dec 31, 2017 | 24.03 Mn |
| Sep 30, 2017 | 23.79 Mn |
| Jun 30, 2017 | 22.47 Mn |
| Mar 31, 2017 | 18.71 Mn |
| Dec 31, 2016 | 27.44 Mn |
| Sep 30, 2016 | 18.02 Mn |
| Jun 30, 2016 | 16.81 Mn |
| Mar 31, 2016 | 13.73 Mn |
| Dec 31, 2015 | 13.85 Mn |
| Sep 30, 2015 | 13.90 Mn |
| Jun 30, 2015 | 4.18 Mn |
| Mar 31, 2015 | 1.64 Mn |
| Dec 31, 2014 | 2.10 Mn |
API Access
W.W. Grainger Interest 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=interest-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();