Great Southern Bancorp (GSBC) EBITDA Margin (2009 - 2026)
Great Southern Bancorp's EBITDA Margin was 77.22% in Q2 2026, down 18.01 percentage points from 95.23% a year earlier and down 6.94 percentage points from the prior quarter.
Great Southern Bancorp (GSBC) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Great Southern Bancorp's EBITDA Margin was 83.45% through Jun 30, 2026, down 14.30 percentage points year-over-year; for FY2025, it came in at 91.29%, down 8.85 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +32.03 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 100.13% in FY2024 (+11.34 pp), 88.80% in FY2023 (+32.65 pp), 56.15% in FY2022 (-2.24 pp) and 58.39% in FY2021 (-0.87 pp).
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q1 2023.
- Compared with a year earlier, EBITDA Margin has declined for seven straight quarters, with an average year-over-year change of -7.31 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q3 2023 (a gain of 41.00 percentage points); the worst was Q2 2026 (a drop of 18.01 percentage points).
- Per Business Quant data, GSBC's EBITDA Margin in the three quarters before Q2 2026 was 84.17% (Q1 2026), 81.53% (Q4 2025) and 90.77% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Great Southern Bancorp | 878.63 Mn | 159.96 Mn | - | 79.87% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 79.87% |
| Jun 30, 2026 | 77.22% |
| Mar 31, 2026 | 0.00% |
| Sep 30, 2025 | 0.00% |
| Jun 30, 2025 | 95.23% |
| Mar 31, 2025 | 97.48% |
| Dec 31, 2024 | 94.23% |
| Sep 30, 2024 | 0.00% |
| Jun 30, 2024 | 101.94% |
| Mar 31, 2024 | 100.11% |
| Dec 31, 2023 | 96.61% |
| Sep 30, 2023 | 93.50% |
| Jun 30, 2023 | 90.50% |
| Mar 31, 2023 | 76.42% |
| Dec 31, 2022 | 68.85% |
| Sep 30, 2022 | 52.50% |
| Jun 30, 2022 | 50.10% |
| Mar 31, 2022 | 51.99% |
| Dec 31, 2021 | 47.93% |
| Sep 30, 2021 | 60.89% |
Great Southern Bancorp EBITDA Margin 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=ebitda-margin&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();