Global Industrial (GIC) Gains from Sales and Divestitures (2010 - 2019)
Global Industrial's Gains from Sales and Divestitures came in at $100,000 for FY2022.
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Analysis
Global Industrial (GIC) Gains from Sales and Divestitures (2010 - 2019) Analysis & Trends
Going back to FY2009, Global Industrial's Gains from Sales and Divestitures data covers 10 years.
- The FY2022 figure represents the highest annual Gains from Sales and Divestitures since FY2016.
- Per Business Quant, earlier years put Gains from Sales and Divestitures at -$100,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 67.37 Bn | 66.13 Bn | 1.73 Bn |
| 2 | W.W. Grainger | 60.32 Bn | 58.30 Bn | 1.98 Bn |
| 3 | Fastenal | 58.24 Bn | 57.16 Bn | 1.06 Bn |
| 4 | Ferguson Enterprises | 43.34 Bn | 40.56 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 31.62 Bn | 31.50 Bn | 1.25 Bn |
| 6 | Reliance | 20.43 Bn | 19.48 Bn | 1.30 Bn |
| 7 | Wesco International | 18.60 Bn | 15.91 Bn | 1.46 Bn |
| 8 | Applied Industrial Technologies | 12.64 Bn | 12.52 Bn | 411.22 Mn |
| 9 | Watsco | 10.59 Bn | 8.75 Bn | 578.93 Mn |
| 10 | Global Industrial | 1.66 Bn | 1.38 Bn | 155.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | -100,000.00 |
| Dec 31, 2017 | -100,000.00 |
| Jun 30, 2017 | 100,000.00 |
| Dec 31, 2016 | 3.80 Mn |
| Sep 30, 2016 | 400,000.00 |
| Mar 31, 2016 | 100,000.00 |
| Dec 31, 2015 | -100,000.00 |
| Sep 30, 2015 | 200,000.00 |
| Dec 31, 2014 | -100,000.00 |
| Mar 31, 2013 | -100,000.00 |
| Dec 31, 2012 | -300,000.00 |
| Dec 31, 2011 | -28,000.00 |
| Sep 30, 2011 | -1,000.00 |
| Jun 30, 2011 | -44,000.00 |
| Mar 31, 2011 | -27,000.00 |
| Dec 31, 2010 | -171,000.00 |
| Sep 30, 2010 | 52,000.00 |
API Access
Global Industrial Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=GIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=GIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();