Peoples Financial Services (PFIS) Return on Sales [ROS] (2011 - 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] (2011 - 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 | 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 Services | 693.62 Mn | -351.02 Mn | - | 774.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 774.11% |
| Mar 31, 2026 | 889.99% |
| Dec 31, 2025 | 831.30% |
| Sep 30, 2025 | 813.54% |
| Jun 30, 2025 | 802.19% |
| Mar 31, 2025 | 852.94% |
| Dec 31, 2024 | 659.90% |
| Sep 30, 2024 | 484.41% |
| Jun 30, 2024 | 752.53% |
| Mar 31, 2024 | 771.24% |
| Dec 31, 2023 | 810.94% |
| Sep 30, 2023 | 833.14% |
| Jun 30, 2023 | 821.43% |
| Mar 31, 2023 | 664.98% |
| Dec 31, 2022 | 614.57% |
| Sep 30, 2022 | 577.01% |
| Jun 30, 2022 | 410.41% |
| Mar 31, 2022 | 494.21% |
| Dec 31, 2021 | 832.89% |
| Sep 30, 2021 | 451.28% |
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_KEY
import 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();