Cnb Financial (CCNE) Return on Sales [ROS] (2009 - 2026)
Cnb Financial (CCNE) reported Return on Sales [ROS] of 84.97% for Q2 2026, up 1.93 percentage points from 83.04% a year earlier but down 1.26 percentage points from the prior quarter.
Cnb Financial (CCNE) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cnb Financial's Return on Sales [ROS] came in at 83.57%, down 3.49 percentage points year-over-year; for FY2025, it was 82.49%, down 8.15 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +37.92 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 90.63% in FY2024 (+11.90 pp), 78.73% in FY2023 (+33.15 pp), 45.58% in FY2022 (-1.31 pp) and 46.89% in FY2021 (+2.32 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 41.09% in Q2 2022 and a high of 96.18% in Q4 2025.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -2.21 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 37.37 percentage points); the low point was Q3 2025 (a drop of 25.61 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 86.23% (Q1 2026), 96.18% (Q4 2025) and 65.12% (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 | Cnb Financial | 1.07 Bn | -889.85 Mn | - | 81.91% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 81.91% |
| Jun 30, 2026 | 84.97% |
| Mar 31, 2026 | 86.23% |
| Dec 31, 2025 | 77.20% |
| Sep 30, 2025 | 86.22% |
| Jun 30, 2025 | 83.04% |
| Mar 31, 2025 | 84.82% |
| Dec 31, 2024 | 89.72% |
| Sep 30, 2024 | 90.74% |
| Jun 30, 2024 | 93.32% |
| Mar 31, 2024 | 88.81% |
| Dec 31, 2023 | 85.61% |
| Sep 30, 2023 | 82.41% |
| Jun 30, 2023 | 76.02% |
| Mar 31, 2023 | 70.76% |
| Dec 31, 2022 | 52.61% |
| Sep 30, 2022 | 45.04% |
| Jun 30, 2022 | 41.09% |
| Mar 31, 2022 | 42.80% |
| Dec 31, 2021 | 43.10% |
Cnb 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=CCNE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CCNE", "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=CCNE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();