Great Southern Bancorp (GSBC) Prepaid Assets (2010 - 2026)
Great Southern Bancorp (GSBC) posted Prepaid Assets of $123.01 million for Q2 2026, down 7.9% from $133.61 million a year earlier and down 0.8% from the prior quarter.
Great Southern Bancorp (GSBC) Prepaid Assets (2010 - 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 Q2 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 five quarters, with growth averaging 4.1% 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 $124.02 million (Q1 2026), $128.62 million (Q4 2025) and $133.41 million (Q3 2025).
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
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 43.12 Mn |
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_KEY
import 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();