Peoples Financial Services (PFIS) Return on Sales [ROS] (2009 - 2026)
Peoples Financial Services (PFIS) reported Return on Sales [ROS] of 774.11% for Q2 2026, down 28.08 percentage points from 802.19% a year earlier and down 115.88 percentage points from the prior quarter.
Peoples Financial Services (PFIS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Peoples Financial Services' Return on Sales [ROS] came in at 824.84%, up 123.80 percentage points year-over-year; for FY2025, it came in at 823.99%, up 179.29 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +384.69 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 644.70% in FY2024 (-137.67 pp), 782.37% in FY2023 (+261.38 pp), 520.99% in FY2022 (-58.66 pp) and 579.66% in FY2021 (+140.35 pp).
- The Q2 2026 figure ranks as the lowest quarterly Return on Sales [ROS] since Q4 2024.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +17.64 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2021 (a gain of 437.68 percentage points); the low point was Q3 2024 (a drop of 348.73 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 889.99% (Q1 2026), 831.30% (Q4 2025) and 813.54% (Q3 2025).
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 | Peoples Financial Services | 726.69 Mn | -443.11 Mn | - | 87.94% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 87.94% |
| Jun 30, 2026 | 77.81% |
| Mar 31, 2026 | 81.09% |
| Dec 31, 2025 | 82.25% |
| Sep 30, 2025 | 91.73% |
| Jun 30, 2025 | 89.92% |
| Mar 31, 2025 | 89.79% |
| Dec 31, 2024 | 74.93% |
| Sep 30, 2024 | 53.48% |
| Jun 30, 2024 | 103.08% |
| Mar 31, 2024 | 104.02% |
| Dec 31, 2023 | 102.28% |
| Sep 30, 2023 | 102.40% |
| Jun 30, 2023 | 100.89% |
| Mar 31, 2023 | 75.61% |
| Dec 31, 2022 | 70.42% |
| Sep 30, 2022 | 57.08% |
| Jun 30, 2022 | 48.32% |
| Mar 31, 2022 | 51.45% |
| Dec 31, 2021 | 60.78% |
Peoples Financial Services 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=PFIS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PFIS", "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=PFIS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();