Great Southern Bancorp (GSBC) Accumulated Expenses (2011 - 2019)
Great Southern Bancorp's Accumulated Expenses was $24.9 million in Q4 2019, up 92.2% from $12.96 million a year earlier.
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Analysis
Great Southern Bancorp (GSBC) Accumulated Expenses (2011 - 2019) Analysis & Trends
From Q4 2011 onward, Great Southern Bancorp has reported Accumulated Expenses for 9 quarters.
- Accumulated Expenses shows a five-year compound annual growth rate of 3.7% (FY2014 to FY2019).
- In earlier years, Accumulated Expenses was $12.96 million in FY2018 (-3.2%), $13.4 million in FY2017 (-31.2%), $19.48 million in FY2016 (-21.4%) and $24.78 million in FY2015 (+19.5%).
- The Q4 2019 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Great Southern Bancorp | 840.39 Mn | 87.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 24.90 Mn |
| Dec 31, 2018 | 12.96 Mn |
| Dec 31, 2017 | 13.40 Mn |
| Dec 31, 2016 | 19.48 Mn |
| Dec 31, 2015 | 24.78 Mn |
| Dec 31, 2014 | 20.74 Mn |
| Dec 31, 2013 | 18.50 Mn |
| Dec 31, 2012 | 12.13 Mn |
| Dec 31, 2011 | 12.18 Mn |
API Access
Great Southern Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();