Great Southern Bancorp (GSBC) Interest Expenses (2010 - 2026)
Great Southern Bancorp's Interest Expenses came in at $22.97 million for Q2 2026, down 23.5% from $30.01 million a year earlier but up 0.6% from the prior quarter.
Great Southern Bancorp (GSBC) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Great Southern Bancorp reported Interest Expenses of $98.38 million, down 24.2% year-over-year; for FY2025, it came in at $113.5 million, down 16.3% from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 69.8% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $135.56 million in FY2024 (+30.8%), $103.62 million in FY2023 (+278.7%), $27.36 million in FY2022 (+635.0%) and $3.72 million in FY2021 (-53.7%).
- The five-year range for quarterly Interest Expenses is $3.41 million (Q1 2022) to $35.82 million (Q3 2024).
- Year-over-year, Interest Expenses has declined for six consecutive quarters, with an average decline of 10.4% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2023 (growth of 558.9%), and the weakest in Q4 2021 (a decline of 53.7%).
- Business Quant data shows GSBC's Interest Expenses at $22.84 million (Q1 2026), $24.27 million (Q4 2025) and $28.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 10.97 Bn |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 22.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.97 Mn |
| Mar 31, 2026 | 22.84 Mn |
| Dec 31, 2025 | 24.27 Mn |
| Sep 30, 2025 | 28.31 Mn |
| Jun 30, 2025 | 30.01 Mn |
| Mar 31, 2025 | 30.91 Mn |
| Dec 31, 2024 | 33.05 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 |
Great Southern Bancorp 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=interest-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();