Sound Financial Bancorp (SFBC) Return on Sales [ROS] (2011 - 2026)
Sound Financial Bancorp's Return on Sales [ROS] came in at 75.95% for Q2 2026, down 3.08 percentage points from 79.04% a year earlier but up 1.85 percentage points from the prior quarter.
Sound Financial Bancorp (SFBC) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sound Financial Bancorp reported Return on Sales [ROS] of 78.75%, down 6.72 percentage points year-over-year; for FY2025, it came in at 80.49%, down 9.31 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +26.73 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 89.79% in FY2024 (+23.50 pp), 66.29% in FY2023 (+27.73 pp), 38.56% in FY2022 (-2.74 pp) and 41.30% in FY2021 (-12.46 pp).
- The five-year range for quarterly Return on Sales [ROS] is 27.82% (Q2 2022) to 94.08% (Q4 2024).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -0.51 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 39.29 percentage points), and the weakest in Q4 2021 (a drop of 30.21 percentage points).
- Business Quant data shows SFBC's Return on Sales [ROS] at 74.10% (Q1 2026), 86.13% (Q4 2025) and 79.44% (Q3 2025) in the three quarters before Q2 2026.
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 | Sound Financial Bancorp | 115.66 Mn | 115.66 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.95% |
| Mar 31, 2026 | 74.10% |
| Dec 31, 2025 | 86.13% |
| Sep 30, 2025 | 79.44% |
| Jun 30, 2025 | 79.04% |
| Mar 31, 2025 | 77.36% |
| Dec 31, 2024 | 94.08% |
| Sep 30, 2024 | 92.07% |
| Jun 30, 2024 | 87.96% |
| Mar 31, 2024 | 84.54% |
| Dec 31, 2023 | 82.50% |
| Sep 30, 2023 | 64.68% |
| Jun 30, 2023 | 67.11% |
| Mar 31, 2023 | 53.37% |
| Dec 31, 2022 | 52.25% |
| Sep 30, 2022 | 41.33% |
| Jun 30, 2022 | 27.82% |
| Mar 31, 2022 | 30.37% |
| Dec 31, 2021 | 31.66% |
| Sep 30, 2021 | 41.44% |
Sound Financial 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=SFBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SFBC", "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=SFBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();