SouthState Bank (SSB) Return on Sales [ROS] (2010 - 2026)
SouthState Bank (SSB) reported Return on Sales [ROS] of 83.45% for Q2 2026, up 1.50 percentage points from 81.95% a year earlier and up 0.84 percentage points from the prior quarter.
SouthState Bank (SSB) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SouthState Bank's Return on Sales [ROS] came in at 84.35%, up 7.21 percentage points year-over-year; for FY2025, it was 78.94%, down 4.09 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +62.45 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 83.03% in FY2024 (+18.49 pp), 64.54% in FY2023 (+22.30 pp), 42.23% in FY2022 (-5.04 pp) and 47.28% in FY2021 (+30.79 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 39.23% in Q1 2022 and a high of 88.94% in Q3 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +4.24 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 28.12 percentage points); the low point was Q1 2022 (a drop of 17.83 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 82.60% (Q1 2026), 84.88% (Q4 2025) and 86.34% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 91.99% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 48.15% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 138.04% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 95.47% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 32.15% |
| 10 | SouthState Bank | 10.10 Bn | 10.10 Bn | - | 82.23% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 82.23% |
| Jun 30, 2026 | 83.45% |
| Mar 31, 2026 | 82.60% |
| Dec 31, 2025 | 84.88% |
| Sep 30, 2025 | 86.34% |
| Jun 30, 2025 | 81.95% |
| Mar 31, 2025 | 61.09% |
| Dec 31, 2024 | 81.36% |
| Sep 30, 2024 | 88.94% |
| Jun 30, 2024 | 83.13% |
| Mar 31, 2024 | 78.66% |
| Dec 31, 2023 | 70.95% |
| Sep 30, 2023 | 70.63% |
| Jun 30, 2023 | 62.48% |
| Mar 31, 2023 | 54.83% |
| Dec 31, 2022 | 45.85% |
| Sep 30, 2022 | 42.51% |
| Jun 30, 2022 | 40.40% |
| Mar 31, 2022 | 39.23% |
| Dec 31, 2021 | 41.26% |
SouthState Bank 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=SSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SSB", "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=SSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();