Great Southern Bancorp (GSBC) Revenue (2010 - 2026)
Great Southern Bancorp's Revenue was $56.87 million in Q2 2026, down 3.9% from $59.18 million a year earlier but up 2.7% from the prior quarter.
Great Southern Bancorp (GSBC) Revenue (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Great Southern Bancorp's Revenue was $226.41 million through Jun 30, 2026, down 0.1% year-over-year; for FY2025, it was $229.29 million, up 4.4% from FY2024.
- Revenue shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In earlier years, Revenue was $219.71 million in FY2024 (-1.6%), $223.29 million in FY2023 (-4.5%), $233.76 million in FY2022 (+0.2%) and $233.27 million in FY2021 (-4.7%).
- Quarterly Revenue has moved between $51.62 million (Q1 2024) and $62.28 million (Q4 2022) over five years.
- Compared with a year earlier, Revenue has declined for three straight quarters, with growth averaging 2.8% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2022 (growth of 16.6%); the worst was Q4 2023 (a decline of 17.0%).
- Per Business Quant data, GSBC's Revenue in the three quarters before Q2 2026 was $55.36 million (Q1 2026), $56.35 million (Q4 2025) and $57.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 13.30 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 | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 22.62 Bn |
| 10 | Great Southern Bancorp | 844.09 Mn | 90.91 Mn | - | 56.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.87 Mn |
| Mar 31, 2026 | 55.36 Mn |
| Dec 31, 2025 | 56.35 Mn |
| Sep 30, 2025 | 57.84 Mn |
| Jun 30, 2025 | 59.18 Mn |
| Mar 31, 2025 | 55.92 Mn |
| Dec 31, 2024 | 56.47 Mn |
| Sep 30, 2024 | 54.97 Mn |
| Jun 30, 2024 | 56.65 Mn |
| Mar 31, 2024 | 51.62 Mn |
| Dec 31, 2023 | 51.71 Mn |
| Sep 30, 2023 | 54.59 Mn |
| Jun 30, 2023 | 55.91 Mn |
| Mar 31, 2023 | 61.08 Mn |
| Dec 31, 2022 | 62.28 Mn |
| Sep 30, 2022 | 60.88 Mn |
| Jun 30, 2022 | 58.15 Mn |
| Mar 31, 2022 | 52.44 Mn |
| Dec 31, 2021 | 53.42 Mn |
| Sep 30, 2021 | 54.72 Mn |
Great Southern Bancorp Revenue 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=revenue&ticker=GSBC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();