Great Southern Bancorp (GSBC) Non Operating Interest Expenses (2010 - 2026)
Great Southern Bancorp's Non Operating Interest Expenses was $22.97 million in Q2 2026, down 23.5% from $30.01 million a year earlier but up 0.6% from the prior quarter.
Great Southern Bancorp (GSBC) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Great Southern Bancorp's Non Operating Interest Expenses was $104.12 million through Jun 30, 2026, down 20.4% year-over-year; for FY2023, it was $103.62 million, up 278.7% from FY2022.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 22.4% (FY2018 to FY2023).
- In earlier years, Non Operating Interest Expenses was $27.36 million in FY2022 (+31.9%), $20.75 million in FY2021 (-48.8%), $40.57 million in FY2020 (-25.7%) and $54.6 million in FY2019 (+44.6%).
- Quarterly Non Operating Interest Expenses has moved between $3.41 million (Q1 2022) and $35.82 million (Q3 2024) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in 1 of the last six quarters, with an average decline of 10.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2023 (growth of 558.9%); the worst was Q4 2021 (a decline of 53.7%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 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 | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 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 | - | 22.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.97 Mn |
| Mar 31, 2026 | 22.84 Mn |
| Sep 30, 2025 | 28.31 Mn |
| Jun 30, 2025 | 30.01 Mn |
| Mar 31, 2025 | 30.91 Mn |
| Sep 30, 2024 | 35.82 Mn |
| Jun 30, 2024 | 34.11 Mn |
| Mar 31, 2024 | 32.57 Mn |
| Dec 31, 2023 | 31.34 Mn |
| Sep 30, 2023 | 28.53 Mn |
| Jun 30, 2023 | 25.48 Mn |
| Mar 31, 2023 | 18.27 Mn |
| Dec 31, 2022 | 13.33 Mn |
| Sep 30, 2022 | 6.76 Mn |
| Jun 30, 2022 | 3.87 Mn |
| Mar 31, 2022 | 3.41 Mn |
| Dec 31, 2021 | 3.72 Mn |
| Sep 30, 2021 | 4.72 Mn |
| Jun 30, 2021 | 5.77 Mn |
| Mar 31, 2021 | 6.54 Mn |
Great Southern Bancorp Non Operating Interest 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=non-operating-interest-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();