Great Southern Bancorp (GSBC) EBITDA Margin (2010 - 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.
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Analysis
Great Southern Bancorp (GSBC) EBITDA Margin (2010 - 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 +53.19 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 (+9.32 pp) and 46.82% in FY2021 (+8.73 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 92.35% |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 77.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.22% |
| Mar 31, 2026 | 84.17% |
| Dec 31, 2025 | 81.53% |
| Sep 30, 2025 | 90.77% |
| Jun 30, 2025 | 95.23% |
| Mar 31, 2025 | 97.48% |
| Dec 31, 2024 | 94.23% |
| Sep 30, 2024 | 104.35% |
| 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% |
API Access
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_KEYimport 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();