Muncy Columbia Financial (CCFN) Return on Sales [ROS] (2010 - 2026)
Muncy Columbia Financial (CCFN) recorded Return on Sales [ROS] of 78.35% in Q2 2026, down 2.54 percentage points from 80.90% a year earlier and down 1.53 percentage points from the prior quarter.
Muncy Columbia Financial (CCFN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Muncy Columbia Financial's Return on Sales [ROS] came in at 80.30% as of Jun 30, 2026, down 1.94 percentage points year-over-year; for FY2025, it was 79.65%, down 8.48 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +26.12 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 88.13% in FY2024 (+26.13 pp), 62.00% in FY2023 (+8.47 pp) and 53.53% in FY2022.
- The Q2 2026 figure is the lowest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +3.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 42.63 percentage points in Q4 2024, against a drop of 21.65 percentage points in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 79.89% (Q1 2026), 81.91% (Q4 2025) and 81.09% (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 | Muncy Columbia Financial | 313.43 Mn | 138.99 Mn | - | 78.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.35% |
| Mar 31, 2026 | 79.89% |
| Dec 31, 2025 | 81.91% |
| Sep 30, 2025 | 81.09% |
| Jun 30, 2025 | 80.90% |
| Mar 31, 2025 | 74.08% |
| Dec 31, 2024 | 84.17% |
| Sep 30, 2024 | 90.31% |
| Jun 30, 2024 | 90.61% |
| Mar 31, 2024 | 87.68% |
| Dec 31, 2023 | 41.53% |
| Sep 30, 2023 | 74.93% |
| Jun 30, 2023 | 72.96% |
| Mar 31, 2023 | 70.78% |
| Dec 31, 2022 | 63.18% |
| Sep 30, 2022 | 63.70% |
| Jun 30, 2022 | 43.00% |
| Dec 31, 2013 | 49.73% |
| Sep 30, 2013 | 46.51% |
| Jun 30, 2013 | 43.14% |
Muncy Columbia 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=CCFN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CCFN", "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=CCFN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();