PFS Bancorp (PFSB) Return on Sales [ROS] (2022 - 2026)
PFS Bancorp (PFSB) posted Return on Sales [ROS] of 31.70% for Q3 2026, up 0.03 percentage points from 31.67% a year earlier and up 3.34 percentage points from the prior quarter.
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Analysis
PFS Bancorp (PFSB) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at PFS Bancorp was 29.83%, up 4.90 percentage points year-over-year; for FY2025, it was 31.59%, up 12.88 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of +10.49 percentage points (FY2022 to FY2025).
- In prior years, PFS Bancorp's Return on Sales [ROS] was 18.71% in FY2024 (-4.59 pp), 23.30% in FY2023 (+2.19 pp) and 21.10% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of 5.57% in Q4 2022 to a high of 34.92% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +3.31 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 25.76 percentage points; the weakest was Q4 2024, with a drop of 16.04 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 28.37% (Q2 2026), 23.84% (Q1 2026) and 34.92% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | PFS Bancorp | 31.95 Mn | 25.15 Mn | - | 31.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.70% |
| Jun 30, 2026 | 28.37% |
| Mar 31, 2026 | 23.84% |
| Dec 31, 2025 | 34.92% |
| Sep 30, 2025 | 31.67% |
| Jun 30, 2025 | 33.58% |
| Mar 31, 2025 | 25.27% |
| Dec 31, 2024 | 9.17% |
| Sep 30, 2024 | 18.45% |
| Jun 30, 2024 | 25.17% |
| Mar 31, 2024 | 23.52% |
| Dec 31, 2023 | 25.20% |
| Sep 30, 2023 | 27.53% |
| Jun 30, 2023 | 19.12% |
| Mar 31, 2023 | 20.82% |
| Dec 31, 2022 | 5.57% |
| Sep 30, 2022 | 27.02% |
| Jun 30, 2022 | 29.12% |
API Access
PFS 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=PFSB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PFSB", "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=PFSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();