Southern First Bancshares (SFST) Return on Sales [ROS] (2010 - 2026)
Southern First Bancshares' Return on Sales [ROS] was 3040.14% in Q2 2026, up 770.16 percentage points from 2269.98% a year earlier and up 572.89 percentage points from the prior quarter.
Southern First Bancshares (SFST) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Southern First Bancshares' Return on Sales [ROS] was 2529.09% through Jun 30, 2026, down 44.36 percentage points year-over-year; for FY2025, it came in at 2326.25%, down 189.97 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +2547.92 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 2516.22% in FY2024 (-391.88 pp), 2908.10% in FY2023 (+1522.82 pp), 1385.28% in FY2022 (+1858.27 pp) and -472.99% in FY2021 (-251.32 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -160.66 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2022 (a gain of 6932.91 percentage points); the worst was Q4 2023 (a drop of 2108.36 percentage points).
- Per Business Quant data, SFST's Return on Sales [ROS] in the three quarters before Q2 2026 was 2467.25% (Q1 2026), 2282.65% (Q4 2025) and 2424.38% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Southern First Bancshares | 576.16 Mn | 549.87 Mn | - | 3,040.14% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3,040.14% |
| Mar 31, 2026 | 2,467.25% |
| Dec 31, 2025 | 2,282.65% |
| Sep 30, 2025 | 2,424.38% |
| Jun 30, 2025 | 2,269.98% |
| Mar 31, 2025 | 2,329.71% |
| Dec 31, 2024 | 3,473.34% |
| Sep 30, 2024 | 2,505.66% |
| Jun 30, 2024 | 1,816.22% |
| Mar 31, 2024 | 2,843.81% |
| Dec 31, 2023 | 4,075.14% |
| Sep 30, 2023 | 2,764.49% |
| Jun 30, 2023 | 2,028.35% |
| Mar 31, 2023 | 3,447.75% |
| Dec 31, 2022 | 6,183.51% |
| Sep 30, 2022 | 1,351.06% |
| Jun 30, 2022 | 1,008.45% |
| Mar 31, 2022 | -993.31% |
| Dec 31, 2021 | -749.40% |
| Sep 30, 2021 | -465.39% |
Southern First Bancshares 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=SFST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SFST", "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=SFST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();