Pathfinder Bancorp (PBHC) Return on Sales [ROS] (2013 - 2026)
Pathfinder Bancorp (PBHC) posted Return on Sales [ROS] of 360.70% for Q2 2026, down 8949.87 percentage points from 9310.58% a year earlier but up 38.99 percentage points from the prior quarter.
Pathfinder Bancorp (PBHC) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Pathfinder Bancorp was 472.37%, down 8838.21 percentage points year-over-year; for FY2024, it came in at 3963.47%, up 855.49 percentage points from FY2023.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +1714.77 percentage points (FY2019 to FY2024).
- In prior years, Pathfinder Bancorp's Return on Sales [ROS] was 3107.98% in FY2023 (+857.62 pp), 2250.35% in FY2022 (+4.08 pp), 2246.28% in FY2021 (+235.28 pp) and 2010.99% in FY2020 (-237.70 pp).
- Quarterly Return on Sales [ROS] has run from a low of 321.71% in Q1 2026 to a high of 89514.29% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last seven quarters, with an average year-over-year change of +15079.34 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2025, with a gain of 88512.11 percentage points; the weakest was Q2 2026, with a drop of 8949.87 percentage points.
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 | Pathfinder Bancorp | 105.96 Mn | 105.14 Mn | - | 360.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 360.70% |
| Mar 31, 2026 | 321.71% |
| Sep 30, 2025 | 89,514.29% |
| Jun 30, 2025 | 9,310.58% |
| Mar 31, 2025 | 6,266.42% |
| Dec 31, 2024 | 30,408.16% |
| Sep 30, 2024 | 1,002.18% |
| Jun 30, 2024 | 4,628.85% |
| Mar 31, 2024 | 3,001.26% |
| Dec 31, 2023 | 4,071.62% |
| Sep 30, 2023 | 3,347.74% |
| Jun 30, 2023 | 3,466.42% |
| Mar 31, 2023 | 2,004.52% |
| Dec 31, 2022 | 2,791.76% |
| Sep 30, 2022 | 2,545.35% |
| Jun 30, 2022 | 1,985.27% |
| Mar 31, 2022 | 1,749.50% |
| Dec 31, 2021 | 2,788.31% |
| Sep 30, 2021 | 2,063.04% |
| Jun 30, 2021 | 2,447.01% |
Pathfinder 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=PBHC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PBHC", "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=PBHC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();