Great Southern Bancorp (GSBC) Restructuring Costs (2011 - 2015)
Great Southern Bancorp's Restructuring Costs was -$486,000 in FY2017, compared with -$6.35 million in FY2016.
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Analysis
Great Southern Bancorp (GSBC) Restructuring Costs (2011 - 2015) Analysis & Trends
From FY2009 onward, Great Southern Bancorp has reported Restructuring Costs for 8 years.
- The FY2017 figure marks the highest annual Restructuring Costs since FY2009.
- Per Business Quant data, Restructuring Costs in earlier years was -$6.35 million in FY2016, -$18.35 million in FY2015, -$27.87 million in FY2014 and -$25.26 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | -6.90 Mn |
| Dec 31, 2014 | -7.81 Mn |
| Sep 30, 2014 | -6.46 Mn |
| Jun 30, 2014 | -7.21 Mn |
| Mar 31, 2014 | -6.39 Mn |
| Dec 31, 2013 | -7.36 Mn |
| Sep 30, 2013 | -6.34 Mn |
| Jun 30, 2013 | -5.69 Mn |
| Mar 31, 2013 | -5.87 Mn |
| Sep 30, 2012 | -5.96 Mn |
| Jun 30, 2012 | -4.44 Mn |
| Mar 31, 2012 | -1.75 Mn |
| Dec 31, 2011 | -7.84 Mn |
| Sep 30, 2011 | -9.91 Mn |
| Jun 30, 2011 | -10.30 Mn |
| Mar 31, 2011 | -9.75 Mn |
API Access
Great Southern Bancorp Restructuring Costs 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=restructuring-costs&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "ticker": "GSBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=restructuring-costs&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();