W.W. Grainger (GWW) Times Interest Earned (2009 - 2019)
W.W. Grainger's (GWW) Times Interest Earned stood at 30.80 in FY2025, down 10.1% from 34.25 in FY2024.
Analysis
W.W. Grainger (GWW) Times Interest Earned (2009 - 2019) Analysis & Trends
Starting with FY2009, W.W. Grainger's Times Interest Earned history includes 13 years.
- Per Business Quant data, GWW's Times Interest Earned was 34.25 in FY2024 (+24.2%) and 27.58 in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | 418.17 |
| 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 | 24.26 |
| 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 | 3.09 |
| 10 | Core & Main | 7.65 Bn | 6.95 Bn | 573.00 Mn | 7.09 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 16.10 |
| Jun 30, 2019 | 17.27 |
| Mar 31, 2019 | 17.29 |
| Dec 31, 2018 | 16.11 |
| Sep 30, 2018 | 8.59 |
| Jun 30, 2018 | 14.96 |
| Mar 31, 2018 | 13.40 |
| Dec 31, 2017 | 9.82 |
| Sep 30, 2017 | 11.64 |
| Jun 30, 2017 | 10.19 |
| Mar 31, 2017 | 15.66 |
| Dec 31, 2016 | 6.35 |
| Sep 30, 2016 | 17.90 |
| Jun 30, 2016 | 18.18 |
| Mar 31, 2016 | 23.10 |
| Dec 31, 2015 | 18.17 |
| Sep 30, 2015 | 24.51 |
| Jun 30, 2015 | 85.26 |
| Mar 31, 2015 | 214.70 |
| Dec 31, 2014 | 127.15 |
API Access
W.W. Grainger Times Interest Earned 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=times-interest-earned&ticker=GWW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GWW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();