Great Southern Bancorp (GSBC) Loans - Loss Allowance (2020 - 2026)
Great Southern Bancorp's Loans - Loss Allowance came in at $63.97 million for Q2 2026, down 1.3% from $64.82 million a year earlier and down 1.3% from the prior quarter.
Great Southern Bancorp (GSBC) Loans - Loss Allowance (2020 - 2026) Analysis & Trends
At the end of FY2025, Great Southern Bancorp's Loans - Loss Allowance was $64.77 million, unchanged from FY2024.
- Loans - Loss Allowance carries a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- Going back by year, Loans - Loss Allowance was $64.76 million in FY2024 (+0.1%), $64.67 million in FY2023 (+1.9%), $63.48 million in FY2022 (+4.5%) and $60.75 million in FY2021 (-9.8%).
- The Q2 2026 figure represents the lowest quarterly Loans - Loss Allowance since Q4 2022.
- Year-over-year, Loans - Loss Allowance increased in three of the last eight quarters, with an average decline of 0.3%.
- The fastest year-over-year change in Loans - Loss Allowance over five years came in Q1 2023 (growth of 6.9%), and the weakest in Q1 2022 (a decline of 10.2%).
- Business Quant data shows GSBC's Loans - Loss Allowance at $64.78 million (Q1 2026), $64.77 million (Q4 2025) and $64.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 347,603.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 13.11 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 | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.91 Bn |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 63.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.97 Mn |
| Mar 31, 2026 | 64.78 Mn |
| Dec 31, 2025 | 64.77 Mn |
| Sep 30, 2025 | 64.75 Mn |
| Jun 30, 2025 | 64.82 Mn |
| Mar 31, 2025 | 64.70 Mn |
| Dec 31, 2024 | 64.76 Mn |
| Sep 30, 2024 | 64.92 Mn |
| Jun 30, 2024 | 65.26 Mn |
| Mar 31, 2024 | 65.09 Mn |
| Dec 31, 2023 | 64.67 Mn |
| Sep 30, 2023 | 64.75 Mn |
| Jun 30, 2023 | 64.85 Mn |
| Mar 31, 2023 | 64.99 Mn |
| Dec 31, 2022 | 63.48 Mn |
| Sep 30, 2022 | 62.76 Mn |
| Jun 30, 2022 | 61.06 Mn |
| Mar 31, 2022 | 60.80 Mn |
| Dec 31, 2021 | 60.75 Mn |
| Jun 30, 2021 | 66.60 Mn |
Great Southern Bancorp Loans - Loss Allowance 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=loans-loss-allowance&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();