Seacoast Banking Corp Of Florida (SBCF) Return on Sales [ROS] (2009 - 2026)
Seacoast Banking Corp Of Florida's Return on Sales [ROS] was 72.64% in Q2 2026, down 7.79 percentage points from 80.43% a year earlier but up 2.36 percentage points from the prior quarter.
Seacoast Banking Corp Of Florida (SBCF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seacoast Banking Corp Of Florida's Return on Sales [ROS] was 69.27% through Jun 30, 2026, down 13.35 percentage points year-over-year; for FY2025, it came in at 71.93%, down 15.27 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +33.42 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 87.20% in FY2024 (+28.16 pp), 59.04% in FY2023 (+23.77 pp), 35.27% in FY2022 (-12.88 pp) and 48.15% in FY2021 (+9.64 pp).
- Quarterly Return on Sales [ROS] has moved between 26.93% (Q1 2023) and 90.47% (Q2 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for six straight quarters, with an average year-over-year change of -6.27 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 56.26 percentage points); the worst was Q1 2022 (a drop of 24.67 percentage points).
- Per Business Quant data, SBCF's Return on Sales [ROS] in the three quarters before Q2 2026 was 70.28% (Q1 2026), 61.44% (Q4 2025) and 73.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Seacoast Banking Corp Of Florida | 3.30 Bn | 1.35 Bn | - | 71.93% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 71.93% |
| Jun 30, 2026 | 72.64% |
| Mar 31, 2026 | 70.28% |
| Dec 31, 2025 | 61.44% |
| Sep 30, 2025 | 73.86% |
| Jun 30, 2025 | 80.43% |
| Mar 31, 2025 | 75.76% |
| Dec 31, 2024 | 85.59% |
| Sep 30, 2024 | 89.53% |
| Jun 30, 2024 | 90.47% |
| Mar 31, 2024 | 83.19% |
| Dec 31, 2023 | 81.02% |
| Sep 30, 2023 | 73.69% |
| Jun 30, 2023 | 59.75% |
| Mar 31, 2023 | 26.93% |
| Dec 31, 2022 | 28.48% |
| Sep 30, 2022 | 39.73% |
| Jun 30, 2022 | 44.36% |
| Mar 31, 2022 | 30.61% |
| Dec 31, 2021 | 50.91% |
Seacoast Banking Corp Of Florida 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=SBCF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SBCF", "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=SBCF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();