Great Southern Bancorp, Inc. (GSBC) Interest Expense - Debt (2010 - 2026)
Great Southern Bancorp's Interest Expense - Debt came in at $354,000 for Q2 2026, down 61.1% from $909,000 a year earlier but up 3.5% from the prior quarter.
Great Southern Bancorp, Inc. (GSBC) Interest Expense - Debt (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Great Southern Bancorp reported Interest Expense - Debt of $1.1 million, down 73.9% year-over-year; for FY2025, it came in at $2.02 million, down 54.4% from FY2024.
- Interest Expense - Debt carries a five-year compound annual growth rate of -21.7% (FY2020 to FY2025).
- Going back by year, Interest Expense - Debt was $4.42 million in FY2024 (unchanged), $4.42 million in FY2023 (unchanged), $4.42 million in FY2022 (-38.3%) and $7.17 million in FY2021 (+4.9%).
- The five-year range for quarterly Interest Expense - Debt is $342,000 (Q1 2026) to $1.67 million (Q3 2021).
- Year-over-year, Interest Expense - Debt increased in 1 of the last seven quarters, with an average decline of 30.1%.
- The fastest year-over-year change in Interest Expense - Debt over five years came in Q4 2024 (growth of 0.1%), and the weakest in Q1 2026 (a decline of 69.1%).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354,000.00 |
| Mar 31, 2026 | 342,000.00 |
| Sep 30, 2025 | 407,000.00 |
| Jun 30, 2025 | 909,000.00 |
| Mar 31, 2025 | 1.11 Mn |
| Dec 31, 2024 | 1.11 Mn |
| Sep 30, 2024 | 1.11 Mn |
| Jun 30, 2024 | 1.11 Mn |
| Mar 31, 2024 | 1.11 Mn |
| Dec 31, 2023 | 1.11 Mn |
| Sep 30, 2023 | 1.11 Mn |
| Jun 30, 2023 | 1.11 Mn |
| Mar 31, 2023 | 1.11 Mn |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.11 Mn |
| Jun 30, 2022 | 1.11 Mn |
| Mar 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 1.11 Mn |
| Sep 30, 2021 | 1.67 Mn |
| Jun 30, 2021 | 2.19 Mn |
Great Southern Bancorp, Inc. Interest Expense - Debt 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-expense-debt&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-debt", "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-expense-debt&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();