Peoples Financial (PFBX) Return on Sales [ROS] (2010 - 2026)
Peoples Financial's Return on Sales [ROS] came in at 202.54% for Q2 2026, down 38.89 percentage points from 241.43% a year earlier and down 60.42 percentage points from the prior quarter.
Peoples Financial (PFBX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Peoples Financial reported Return on Sales [ROS] of 220.21%, down 42.09 percentage points year-over-year; for FY2025, it came in at 228.54%, down 89.89 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +247.53 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 318.43% in FY2024 (+6.46 pp), 311.97% in FY2023 (+153.09 pp), 158.87% in FY2022 (-19.56 pp) and 178.43% in FY2021 (+197.43 pp).
- The five-year range for quarterly Return on Sales [ROS] is 81.12% (Q1 2022) to 380.55% (Q1 2024).
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -52.44 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2021 (a gain of 400.15 percentage points), and the weakest in Q1 2025 (a drop of 124.39 percentage points).
- Business Quant data shows PFBX's Return on Sales [ROS] at 262.96% (Q1 2026), 201.52% (Q4 2025) and 214.88% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 907.83 Bn | 907.83 Bn | - | 91.99% |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 311.87 Bn | -1,791.72 Bn | - | 48.15% |
| 4 | Morgan Stanley | 291.90 Bn | -252.13 Bn | - | 95.47% |
| 5 | Royal Bank Of Canada | 286.96 Bn | -543.08 Bn | - | 138.04% |
| 6 | Goldman Sachs | 267.05 Bn | -3,476.40 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 257.19 Bn | 257.19 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 246.06 Bn | -95.33 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 218.72 Bn | 18.20 Bn | - | 32.15% |
| 10 | Peoples Financial | 110.82 Mn | 110.82 Mn | - | 44.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.55% |
| Mar 31, 2026 | 48.91% |
| Dec 31, 2025 | 43.57% |
| Sep 30, 2025 | 47.97% |
| Jun 30, 2025 | 47.99% |
| Mar 31, 2025 | 48.51% |
| Dec 31, 2024 | 54.03% |
| Sep 30, 2024 | 55.27% |
| Jun 30, 2024 | 63.83% |
| Mar 31, 2024 | 62.61% |
| Dec 31, 2023 | 54.42% |
| Sep 30, 2023 | 46.06% |
| Jun 30, 2023 | 57.40% |
| Mar 31, 2023 | 50.90% |
| Dec 31, 2022 | 46.55% |
| Sep 30, 2022 | 34.68% |
| Jun 30, 2022 | 19.98% |
| Mar 31, 2022 | 16.99% |
| Dec 31, 2021 | 39.42% |
| Sep 30, 2021 | 21.91% |
Peoples 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=PFBX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PFBX", "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=PFBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();