Great Southern Bancorp (GSBC) Other Operating Expenses (2010 - 2026)
Great Southern Bancorp (GSBC) posted Other Operating Expenses of $2.13 million for Q2 2026, up 0.2% from $2.13 million a year earlier and up 23.3% from the prior quarter.
Great Southern Bancorp (GSBC) Other Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Great Southern Bancorp was $75.98 million, up 2.0% year-over-year; for FY2025, it was $7.91 million, down 23.9% from FY2024.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Great Southern Bancorp's Other Operating Expenses was $10.4 million in FY2024 (+19.9%), $8.67 million in FY2023 (+4.9%), $8.26 million in FY2022 (+26.1%) and $6.56 million in FY2021 (+3.0%).
- Quarterly Other Operating Expenses has run from a low of $1.73 million in Q1 2025 to a high of $36.95 million in Q4 2024 over five years.
- On a year-over-year basis, Other Operating Expenses increased in four of the last eight quarters, with an average decline of 23.4%.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was Q4 2021, with growth of 15.2%; the weakest was Q1 2025, with a decline of 95.0%.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $1.73 million (Q1 2026), $36 million (Q4 2025) and $36.12 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 | 2.13 Mn |
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 36.00 Mn |
| Sep 30, 2025 | 36.12 Mn |
| Jun 30, 2025 | 2.13 Mn |
| Mar 31, 2025 | 1.73 Mn |
| Dec 31, 2024 | 36.95 Mn |
| Sep 30, 2024 | 33.72 Mn |
| Jun 30, 2024 | 36.41 Mn |
| Mar 31, 2024 | 34.42 Mn |
| Dec 31, 2023 | 36.29 Mn |
| Sep 30, 2023 | 35.56 Mn |
| Jun 30, 2023 | 34.72 Mn |
| Mar 31, 2023 | 34.46 Mn |
| Dec 31, 2022 | 34.34 Mn |
| Sep 30, 2022 | 34.76 Mn |
| Jun 30, 2022 | 33.00 Mn |
| Mar 31, 2022 | 31.27 Mn |
| Dec 31, 2021 | 35.78 Mn |
| Sep 30, 2021 | 31.34 Mn |
Great Southern Bancorp Other Operating 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=other-operating-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();