C & F Financial (CFFI) Return on Sales [ROS] (2009 - 2026)
C & F Financial's Return on Sales [ROS] came in at 54.15% for Q2 2026, down 2.30 percentage points from 56.46% a year earlier and down 0.40 percentage points from the prior quarter.
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Analysis
C & F Financial (CFFI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, C & F Financial reported Return on Sales [ROS] of 55.19%, down 0.38 percentage points year-over-year; for FY2025, it came in at 55.64%, up 3.05 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last five years, with a five-year change of +24.80 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 52.59% in FY2024 (+8.92 pp), 43.66% in FY2023 (+7.10 pp), 36.56% in FY2022 (+2.21 pp) and 34.35% in FY2021 (+3.51 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q1 2025.
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +3.77 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 13.37 percentage points), and the weakest in Q4 2021 (a drop of 2.97 percentage points).
- Business Quant data shows CFFI's Return on Sales [ROS] at 54.55% (Q1 2026), 55.45% (Q4 2025) and 56.74% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | C & F Financial | 350.15 Mn | 86.07 Mn | 37.73 Mn | 32.58% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 32.58% |
| Jun 30, 2026 | 32.00% |
| Mar 31, 2026 | 31.75% |
| Dec 31, 2025 | 31.29% |
| Sep 30, 2025 | 31.45% |
| Jun 30, 2025 | 31.11% |
| Mar 31, 2025 | 27.72% |
| Dec 31, 2024 | 31.61% |
| Sep 30, 2024 | 29.75% |
| Jun 30, 2024 | 26.87% |
| Mar 31, 2024 | 23.15% |
| Dec 31, 2023 | 25.88% |
| Sep 30, 2023 | 28.48% |
| Jun 30, 2023 | 28.55% |
| Mar 31, 2023 | 29.46% |
| Dec 31, 2022 | 41.41% |
| Sep 30, 2022 | 33.32% |
| Jun 30, 2022 | 36.85% |
| Mar 31, 2022 | 33.37% |
| Dec 31, 2021 | 30.41% |
API Access
C & F 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=CFFI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CFFI", "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=CFFI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();