Global Industrial (GIC) Total Debt (2010 - 2023)
Global Industrial's Total Debt was $40.3 million in Q2 2023, up 34.3% from $30 million a year earlier.
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Analysis
Global Industrial (GIC) Total Debt (2010 - 2023) Analysis & Trends
At the end of FY2022, Total Debt at Global Industrial came in at $600,000, down 86.7% from FY2021.
- In earlier years, Total Debt was $4.5 million in FY2021.
- The Q2 2023 figure marks the highest quarterly Total Debt in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 59.11 Bn | 57.09 Bn | 1.98 Bn | 2.41 Bn |
| 2 | Fastenal | 57.94 Bn | 56.86 Bn | 1.06 Bn | 120.00 Mn |
| 3 | Ferguson Enterprises | 44.13 Bn | 41.35 Bn | 2.32 Bn | 4.13 Bn |
| 4 | Sunbelt Rentals Holdings | 30.69 Bn | 30.57 Bn | 1.25 Bn | 8.56 Bn |
| 5 | Reliance | 20.00 Bn | 19.04 Bn | 1.30 Bn | 1.66 Bn |
| 6 | Wesco International | 17.78 Bn | 15.09 Bn | 1.46 Bn | 5.94 Bn |
| 7 | Applied Industrial Technologies | 12.42 Bn | 12.29 Bn | 411.22 Mn | 262.30 Mn |
| 8 | Watsco | 11.14 Bn | 9.30 Bn | 578.93 Mn | 119.72 Mn |
| 9 | Avantor | 10.34 Bn | 9.14 Bn | 537.00 Mn | 3.70 Bn |
| 10 | Global Industrial | 1.61 Bn | 1.33 Bn | 155.40 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 40.30 Mn |
| Dec 31, 2022 | 600,000.00 |
| Sep 30, 2022 | 10.00 Mn |
| Jun 30, 2022 | 30.00 Mn |
| Mar 31, 2022 | 25.00 Mn |
| Dec 31, 2021 | 4.50 Mn |
| Sep 30, 2016 | 300,000.00 |
| Jun 30, 2016 | 300,000.00 |
| Mar 31, 2016 | 900,000.00 |
| Dec 31, 2015 | 1.00 Mn |
| Sep 30, 2015 | 1.70 Mn |
| Jun 30, 2015 | 2.40 Mn |
| Mar 31, 2015 | 3.10 Mn |
| Dec 31, 2014 | 3.90 Mn |
| Sep 30, 2014 | 3.50 Mn |
| Jun 30, 2014 | 4.10 Mn |
| Mar 31, 2014 | 4.70 Mn |
| Dec 31, 2013 | 5.40 Mn |
| Sep 30, 2013 | 6.00 Mn |
| Jun 30, 2013 | 6.80 Mn |
API Access
Global Industrial Total Debt 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=total-debt&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();