Great Southern Bancorp (GSBC) EBITDA (2010 - 2026)
Great Southern Bancorp (GSBC) recorded EBITDA of $43.92 million in Q2 2026, down 22.1% from $56.35 million a year earlier and down 5.7% from the prior quarter.
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Analysis
Great Southern Bancorp (GSBC) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Great Southern Bancorp's EBITDA came in at $188.95 million as of Jun 30, 2026, down 14.7% year-over-year; for FY2025, it came in at $209.31 million, down 4.9% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $220 million in FY2024 (+11.0%), $198.28 million in FY2023 (+51.1%), $131.24 million in FY2022 (+20.2%) and $109.23 million in FY2021 (+17.2%).
- The Q2 2026 figure is the lowest quarterly EBITDA since Q4 2022.
- On a year-over-year basis, EBITDA has declined for five consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 73.7% in Q2 2023, against a decline of 23.0% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $46.59 million (Q1 2026), $45.94 million (Q4 2025) and $52.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 43.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.92 Mn |
| Mar 31, 2026 | 46.59 Mn |
| Dec 31, 2025 | 45.94 Mn |
| Sep 30, 2025 | 52.50 Mn |
| Jun 30, 2025 | 56.35 Mn |
| Mar 31, 2025 | 54.51 Mn |
| Dec 31, 2024 | 53.21 Mn |
| Sep 30, 2024 | 57.36 Mn |
| Jun 30, 2024 | 57.75 Mn |
| Mar 31, 2024 | 51.68 Mn |
| Dec 31, 2023 | 49.96 Mn |
| Sep 30, 2023 | 51.04 Mn |
| Jun 30, 2023 | 50.60 Mn |
| Mar 31, 2023 | 46.68 Mn |
| Dec 31, 2022 | 42.88 Mn |
| Sep 30, 2022 | 31.97 Mn |
| Jun 30, 2022 | 29.13 Mn |
| Mar 31, 2022 | 27.26 Mn |
| Dec 31, 2021 | 25.61 Mn |
| Sep 30, 2021 | 33.32 Mn |
API Access
Great Southern Bancorp EBITDA 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&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();