Great Southern Bancorp (GSBC) Prepaid Assets (2009 - 2026)
Great Southern Bancorp (GSBC) posted Prepaid Assets of $122.94 million for Q3 2026, down 7.8% from $133.41 million a year earlier and down 0.1% from the prior quarter.
Powered by 
Analysis
Great Southern Bancorp (GSBC) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Great Southern Bancorp's Prepaid Assets came in at $128.62 million, down 5.8% from FY2024.
- Annual Prepaid Assets shows a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior years, Great Southern Bancorp's Prepaid Assets was $136.59 million in FY2024 (+28.6%), $106.23 million in FY2023 (+52.9%), $69.46 million in FY2022 (+53.8%) and $45.18 million in FY2021 (-23.3%).
- The Q3 2026 figure stands as the lowest quarterly Prepaid Assets since Q4 2023.
- On a year-over-year basis, Prepaid Assets has declined in each of the last six quarters, with an average decline of 1.6% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q1 2023, with growth of 97.9%; the weakest was Q4 2021, with a decline of 23.3%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $123.01 million (Q2 2026), $124.02 million (Q1 2026) and $128.62 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 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 |
|---|---|
| Sep 30, 2026 | 122.94 Mn |
| Jun 30, 2026 | 123.01 Mn |
| Mar 31, 2026 | 124.02 Mn |
| Dec 31, 2025 | 128.62 Mn |
| Sep 30, 2025 | 133.41 Mn |
| Jun 30, 2025 | 133.61 Mn |
| Mar 31, 2025 | 132.93 Mn |
| Dec 31, 2024 | 136.59 Mn |
| Sep 30, 2024 | 142.69 Mn |
| Jun 30, 2024 | 144.55 Mn |
| Mar 31, 2024 | 131.46 Mn |
| Dec 31, 2023 | 106.23 Mn |
| Sep 30, 2023 | 103.44 Mn |
| Jun 30, 2023 | 76.19 Mn |
| Mar 31, 2023 | 89.06 Mn |
| Dec 31, 2022 | 69.46 Mn |
| Sep 30, 2022 | 64.38 Mn |
| Jun 30, 2022 | 59.47 Mn |
| Mar 31, 2022 | 44.99 Mn |
| Dec 31, 2021 | 45.18 Mn |
API Access
Great Southern Bancorp Prepaid Assets 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=prepaid-assets&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();