Seacoast Banking Corp Of Florida (SBCF) Return on Sales [ROS] (2010 - 2026)
Seacoast Banking Corp Of Florida's Return on Sales [ROS] was 11319.01% in Q2 2026, up 1873.01 percentage points from 9446.00% a year earlier and up 4885.49 percentage points from the prior quarter.
Seacoast Banking Corp Of Florida (SBCF) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Seacoast Banking Corp Of Florida's Return on Sales [ROS] was 8751.97% through Jun 30, 2026, up 347.97 percentage points year-over-year; for FY2025, it came in at 8410.75%, down 238.75 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +8372.25 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 8649.50% in FY2024 (+1221.85 pp), 7427.65% in FY2023 (-11512.47 pp) and 18940.12% in FY2022.
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +157.12 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 4880.96 percentage points); the worst was Q1 2025 (a drop of 1512.21 percentage points).
- Per Business Quant data, SBCF's Return on Sales [ROS] in the three quarters before Q2 2026 was 6433.52% (Q1 2026), 10485.73% (Q4 2025) and 7844.16% (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 | Seacoast Banking Corp Of Florida | 3.11 Bn | 1.18 Bn | - | 11,319.01% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,319.01% |
| Mar 31, 2026 | 6,433.52% |
| Dec 31, 2025 | 10,485.73% |
| Sep 30, 2025 | 7,844.16% |
| Jun 30, 2025 | 9,446.00% |
| Mar 31, 2025 | 6,579.51% |
| Dec 31, 2024 | 9,880.45% |
| Sep 30, 2024 | 8,341.89% |
| Jun 30, 2024 | 8,452.92% |
| Mar 31, 2024 | 8,091.71% |
| Dec 31, 2023 | 9,740.71% |
| Sep 30, 2023 | 8,540.15% |
| Jun 30, 2023 | 7,651.55% |
| Mar 31, 2023 | 3,756.86% |
| Dec 31, 2022 | 4,859.75% |
| Sep 30, 2021 | 419.06% |
| Jun 30, 2021 | 547.34% |
| Mar 31, 2021 | 524.38% |
| Dec 31, 2020 | 50.20% |
| Sep 30, 2020 | 360.71% |
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();