Global Industrial (GIC) Debt Ratio (2010 - 2023)
Global Industrial's Debt Ratio was 0.07 in Q2 2023, up 22.5% from 0.06 a year earlier.
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Analysis
Global Industrial (GIC) Debt Ratio (2010 - 2023) Analysis & Trends
For FY2022, Debt Ratio at Global Industrial came in at 0.00, down 88.1% from FY2021.
- In earlier years, Debt Ratio was 0.01 in FY2021.
- The Q2 2023 figure marks the highest quarterly Debt Ratio in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.83 Bn | 56.81 Bn | 1.98 Bn | 0.25 |
| 2 | Fastenal | 57.33 Bn | 56.25 Bn | 1.06 Bn | 0.02 |
| 3 | Ferguson Enterprises | 43.46 Bn | 40.68 Bn | 2.32 Bn | 0.23 |
| 4 | Sunbelt Rentals Holdings | 30.25 Bn | 30.13 Bn | 1.25 Bn | 0.36 |
| 5 | Reliance | 19.78 Bn | 18.82 Bn | 1.30 Bn | 0.15 |
| 6 | Wesco International | 17.79 Bn | 15.10 Bn | 1.46 Bn | 0.33 |
| 7 | Applied Industrial Technologies | 12.37 Bn | 12.24 Bn | 411.22 Mn | 0.09 |
| 8 | Watsco | 10.71 Bn | 8.87 Bn | 578.93 Mn | 0.02 |
| 9 | Avantor | 10.31 Bn | 9.11 Bn | 537.00 Mn | 0.32 |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 0.07 |
| Dec 31, 2022 | 0.00 |
| Sep 30, 2022 | 0.02 |
| Jun 30, 2022 | 0.06 |
| Mar 31, 2022 | 0.06 |
| Dec 31, 2021 | 0.01 |
| Sep 30, 2016 | 0.00 |
| Jun 30, 2016 | 0.00 |
| Mar 31, 2016 | 0.00 |
| Dec 31, 2015 | 0.00 |
| Sep 30, 2015 | 0.00 |
| Jun 30, 2015 | 0.00 |
| Mar 31, 2015 | 0.00 |
| Dec 31, 2014 | 0.00 |
| Sep 30, 2014 | 0.00 |
| Jun 30, 2014 | 0.00 |
| Mar 31, 2014 | 0.00 |
| Dec 31, 2013 | 0.01 |
| Sep 30, 2013 | 0.01 |
| Jun 30, 2013 | 0.01 |
API Access
Global Industrial Debt Ratio 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=debt-ratio&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "ticker": "GIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=debt-ratio&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();