Community Financial System (CBU) Return on Sales [ROS] (2009 - 2026)
Community Financial System (CBU) reported Return on Sales [ROS] of 56.47% for Q2 2026, down 0.82 percentage points from 57.30% a year earlier but up 0.26 percentage points from the prior quarter.
Community Financial System (CBU) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Community Financial System's Return on Sales [ROS] came in at 56.83%, down 0.62 percentage points year-over-year; for FY2025, it was 57.23%, down 0.54 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +19.20 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 57.77% in FY2024 (+16.01 pp), 41.76% in FY2023 (+2.99 pp), 38.77% in FY2022 (-2.21 pp) and 40.98% in FY2021 (+2.96 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 17.53% in Q1 2023 and a high of 59.70% in Q2 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +2.18 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 38.16 percentage points); the low point was Q1 2023 (a drop of 21.50 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 56.21% (Q1 2026), 55.68% (Q4 2025) and 59.06% (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 | Community Financial System | 3.40 Bn | 1.54 Bn | - | 55.17% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 55.17% |
| Jun 30, 2026 | 56.47% |
| Mar 31, 2026 | 56.21% |
| Dec 31, 2025 | 55.68% |
| Sep 30, 2025 | 59.06% |
| Jun 30, 2025 | 57.30% |
| Mar 31, 2025 | 56.92% |
| Dec 31, 2024 | 58.33% |
| Sep 30, 2024 | 57.26% |
| Jun 30, 2024 | 27.48% |
| Mar 31, 2024 | 55.68% |
| Dec 31, 2023 | 45.73% |
| Sep 30, 2023 | 48.90% |
| Jun 30, 2023 | 29.69% |
| Mar 31, 2023 | 17.53% |
| Dec 31, 2022 | 44.94% |
| Sep 30, 2022 | 38.65% |
| Jun 30, 2022 | 32.18% |
| Mar 31, 2022 | 39.03% |
| Dec 31, 2021 | 37.32% |
Community Financial System 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=CBU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CBU", "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=CBU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();