Waterstone Financial (WSBF) Return on Sales [ROS] (2012 - 2026)
Waterstone Financial's Return on Sales [ROS] came in at 60.15% for Q2 2026, down 4.64 percentage points from 64.79% a year earlier but up 1.02 percentage points from the prior quarter.
Powered by 
Analysis
Waterstone Financial (WSBF) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Waterstone Financial reported Return on Sales [ROS] of 62.89%, down 4.23 percentage points year-over-year; for FY2025, it was 65.40%, down 1.77 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +20.66 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 67.18% in FY2024 (+21.49 pp), 45.68% in FY2023 (+22.44 pp), 23.24% in FY2022 (-17.91 pp) and 41.16% in FY2021 (-3.58 pp).
- The five-year range for quarterly Return on Sales [ROS] is 17.49% (Q4 2022) to 70.42% (Q4 2024).
- Year-over-year, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of +2.41 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2023 (a gain of 32.60 percentage points), and the weakest in Q1 2022 (a drop of 21.99 percentage points).
- Business Quant data shows WSBF's Return on Sales [ROS] at 59.13% (Q1 2026), 65.78% (Q4 2025) and 66.58% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | Waterstone Financial | 362.38 Mn | 154.65 Mn | - | 1.07% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.07% |
| Mar 31, 2026 | 0.84% |
| Dec 31, 2025 | 65.78% |
| Sep 30, 2025 | 66.58% |
| Jun 30, 2025 | 0.99% |
| Mar 31, 2025 | 0.80% |
| Dec 31, 2024 | 70.42% |
| Sep 30, 2024 | 69.15% |
| Jun 30, 2024 | 65.86% |
| Mar 31, 2024 | 63.41% |
| Dec 31, 2023 | 50.09% |
| Sep 30, 2023 | 53.01% |
| Jun 30, 2023 | 46.03% |
| Mar 31, 2023 | 33.62% |
| Dec 31, 2022 | 17.49% |
| Sep 30, 2022 | 0.48% |
| Jun 30, 2022 | 27.71% |
| Mar 31, 2022 | 0.50% |
| Dec 31, 2021 | 34.60% |
| Sep 30, 2021 | 1.25% |
API Access
Waterstone Financial 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=WSBF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WSBF", "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=WSBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();