Great Southern Bancorp (GSBC) Long-Term Debt Repayments (2009 - 2021)
Great Southern Bancorp (GSBC) recorded Long-Term Debt Repayments of $75 million in FY2025.
Analysis
Great Southern Bancorp (GSBC) Long-Term Debt Repayments (2009 - 2021) Analysis & Trends
Starting with FY2009, Great Southern Bancorp's Long-Term Debt Repayments history includes 11 years.
- The FY2025 figure is the highest annual Long-Term Debt Repayments since FY2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 25.27 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 31.73 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 33.18 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 16.57 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 3.97 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Great Southern Bancorp | 878.63 Mn | 159.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -75.00 Mn |
| Dec 31, 2018 | 498.00 Mn |
| Sep 30, 2018 | 928.00 Mn |
| Jun 30, 2018 | 1.92 Bn |
| Mar 31, 2018 | -598.00 Mn |
| Dec 31, 2017 | -578.00 Mn |
| Sep 30, 2017 | -715.00 Mn |
| Jun 30, 2017 | -31.42 Mn |
| Mar 31, 2017 | -19,000.00 |
| Dec 31, 2016 | -18,000.00 |
| Sep 30, 2016 | -17,000.00 |
| Jun 30, 2016 | -18,000.00 |
| Mar 31, 2016 | -2.03 Bn |
| Dec 31, 2015 | -1.13 Bn |
| Sep 30, 2015 | -1.99 Bn |
| Jun 30, 2015 | -1.14 Bn |
| Mar 31, 2015 | -2.25 Bn |
| Dec 31, 2014 | -1.63 Bn |
| Sep 30, 2014 | -2.17 Bn |
| Jun 30, 2014 | -277.00 Mn |
API Access
Great Southern Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();