Great Southern Bancorp (GSBC) Return on Sales [ROS] (2010 - 2026)
Great Southern Bancorp (GSBC) reported Return on Sales [ROS] of 73.16% for Q2 2026, down 18.59 percentage points from 91.75% a year earlier and down 6.92 percentage points from the prior quarter.
Great Southern Bancorp (GSBC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Great Southern Bancorp's Return on Sales [ROS] came in at 79.54%, down 14.75 percentage points year-over-year; for FY2025, it came in at 87.57%, down 8.49 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +54.42 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 96.06% in FY2024 (+11.43 pp), 84.63% in FY2023 (+32.62 pp), 52.01% in FY2022 (+9.96 pp) and 42.05% in FY2021 (+8.89 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q1 2023.
- Year over year, Return on Sales [ROS] has now declined in each of the last seven quarters, with an average year-over-year change of -6.97 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 40.76 percentage points); the low point was Q2 2026 (a drop of 18.59 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 80.09% (Q1 2026), 77.62% (Q4 2025) and 87.15% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Great Southern Bancorp | 850.18 Mn | 97.01 Mn | - | 73.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.16% |
| Mar 31, 2026 | 80.09% |
| Dec 31, 2025 | 77.62% |
| Sep 30, 2025 | 87.15% |
| Jun 30, 2025 | 91.75% |
| Mar 31, 2025 | 93.63% |
| Dec 31, 2024 | 90.34% |
| Sep 30, 2024 | 101.76% |
| Jun 30, 2024 | 97.01% |
| Mar 31, 2024 | 95.20% |
| Dec 31, 2023 | 92.24% |
| Sep 30, 2023 | 89.32% |
| Jun 30, 2023 | 86.37% |
| Mar 31, 2023 | 72.39% |
| Dec 31, 2022 | 64.92% |
| Sep 30, 2022 | 48.57% |
| Jun 30, 2022 | 46.07% |
| Mar 31, 2022 | 47.24% |
| Dec 31, 2021 | 43.21% |
| Sep 30, 2021 | 55.66% |
Great Southern Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();