FS Bancorp (FSBW) Return on Sales [ROS] (2012 - 2026)
FS Bancorp (FSBW) recorded Return on Sales [ROS] of 69.76% in Q2 2026, down 0.91 percentage points from 70.68% a year earlier and down 0.56 percentage points from the prior quarter.
FS Bancorp (FSBW) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a TTM basis, FS Bancorp's Return on Sales [ROS] came in at 70.56% as of Jun 30, 2026, up 0.17 percentage points year-over-year; for FY2025, it came in at 70.71%, down 0.71 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -2352.07 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 71.42% in FY2024 (-1861.82 pp), 1933.24% in FY2023 (+319.36 pp), 1613.88% in FY2022 (-285.26 pp) and 1899.14% in FY2021 (-523.64 pp).
- Quarterly Return on Sales [ROS] has ranged from 68.67% in Q4 2025 to 2291.05% in Q2 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of -1046.45 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1175.29 percentage points in Q2 2023, against a drop of 2220.37 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 70.32% (Q1 2026), 68.67% (Q4 2025) and 73.49% (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 | FS Bancorp | 329.10 Mn | 171.18 Mn | - | 69.76% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.76% |
| Mar 31, 2026 | 70.32% |
| Dec 31, 2025 | 68.67% |
| Sep 30, 2025 | 73.49% |
| Jun 30, 2025 | 70.68% |
| Mar 31, 2025 | 69.98% |
| Dec 31, 2024 | 71.97% |
| Sep 30, 2024 | 68.97% |
| Jun 30, 2024 | 2,291.05% |
| Mar 31, 2024 | 2,223.87% |
| Dec 31, 2023 | 2,193.94% |
| Sep 30, 2023 | 1,945.00% |
| Jun 30, 2023 | 1,636.22% |
| Mar 31, 2023 | 1,991.14% |
| Dec 31, 2022 | 1,997.64% |
| Sep 30, 2022 | 1,776.97% |
| Jun 30, 2022 | 460.93% |
| Mar 31, 2022 | 1,025.86% |
| Dec 31, 2021 | 1,897.67% |
| Sep 30, 2021 | 1,247.81% |
FS 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=FSBW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "FSBW", "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=FSBW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();