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 | 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 | Peoples Financial | 111.05 Mn | 111.05 Mn | - | 202.54% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.54% |
| Mar 31, 2026 | 262.96% |
| Dec 31, 2025 | 201.52% |
| Sep 30, 2025 | 214.88% |
| Jun 30, 2025 | 241.43% |
| Mar 31, 2025 | 256.16% |
| Dec 31, 2024 | 275.85% |
| Sep 30, 2024 | 275.92% |
| Jun 30, 2024 | 343.06% |
| Mar 31, 2024 | 380.55% |
| Dec 31, 2023 | 310.40% |
| Sep 30, 2023 | 267.43% |
| Jun 30, 2023 | 340.51% |
| Mar 31, 2023 | 305.48% |
| Dec 31, 2022 | 258.52% |
| Sep 30, 2022 | 193.93% |
| Jun 30, 2022 | 98.33% |
| Mar 31, 2022 | 81.12% |
| Dec 31, 2021 | 188.55% |
| Sep 30, 2021 | 105.09% |
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();