Great Southern Bancorp (GSBC) EBIT (2009 - 2026)
Great Southern Bancorp (GSBC) posted EBIT of $41.61 million for Q2 2026, down 23.4% from $54.29 million a year earlier and down 6.2% from the prior quarter.
Great Southern Bancorp (GSBC) EBIT (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBIT at Great Southern Bancorp was $180.08 million, down 15.7% year-over-year; for FY2025, it came in at $200.8 million, down 4.9% from FY2024.
- Annual EBIT shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In prior years, Great Southern Bancorp's EBIT was $211.05 million in FY2024 (+11.7%), $188.96 million in FY2023 (+55.4%), $121.57 million in FY2022 (+5.6%) and $115.12 million in FY2021 (+1.3%).
- The Q2 2026 figure stands as the lowest quarterly EBIT since Q4 2022.
- On a year-over-year basis, EBIT has declined in each of the last five quarters, with an average decline of 4.5% over the last eight quarters.
- The strongest year-over-year quarter for EBIT in the past five years was Q2 2023, with growth of 80.2%; the weakest was Q2 2026, with a decline of 23.4%.
- According to Business Quant data, EBIT for the three prior quarters was $44.33 million (Q1 2026), $43.74 million (Q4 2025) and $50.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 46.15 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 40.42 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.78 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 8.97 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 19.42 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 18.35 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 26.03 Bn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 18.49 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 5.11 Bn |
| 10 | Great Southern Bancorp | 878.63 Mn | 159.96 Mn | - | 40.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.59 Mn |
| Jun 30, 2026 | 41.61 Mn |
| Mar 31, 2026 | 44.33 Mn |
| Dec 31, 2025 | 43.74 Mn |
| Sep 30, 2025 | 50.40 Mn |
| Jun 30, 2025 | 54.29 Mn |
| Mar 31, 2025 | 52.36 Mn |
| Dec 31, 2024 | 51.02 Mn |
| Sep 30, 2024 | 55.93 Mn |
| Jun 30, 2024 | 54.96 Mn |
| Mar 31, 2024 | 49.14 Mn |
| Dec 31, 2023 | 47.70 Mn |
| Sep 30, 2023 | 48.76 Mn |
| Jun 30, 2023 | 48.29 Mn |
| Mar 31, 2023 | 44.22 Mn |
| Dec 31, 2022 | 40.43 Mn |
| Sep 30, 2022 | 29.57 Mn |
| Jun 30, 2022 | 26.79 Mn |
| Mar 31, 2022 | 24.77 Mn |
| Dec 31, 2021 | 23.09 Mn |
Great Southern Bancorp EBIT 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=ebit&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();