Colony Bankcorp (CBAN) Return on Sales [ROS] (2009 - 2026)
Colony Bankcorp (CBAN) posted Return on Sales [ROS] of 70.45% for Q2 2026, down 4.91 percentage points from 75.36% a year earlier but up 4.88 percentage points from the prior quarter.
Colony Bankcorp (CBAN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Colony Bankcorp was 63.28%, down 14.50 percentage points year-over-year; for FY2025, it was 76.17%, down 2.42 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +47.85 percentage points (FY2020 to FY2025).
- In prior years, Colony Bankcorp's Return on Sales [ROS] was 78.59% in FY2024 (+13.71 pp), 64.88% in FY2023 (+35.74 pp), 29.14% in FY2022 (+2.26 pp) and 26.88% in FY2021 (-1.43 pp).
- Quarterly Return on Sales [ROS] has run from a low of 19.35% in Q2 2022 to a high of 80.71% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -2.79 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 44.93 percentage points; the weakest was Q3 2025, with a drop of 15.23 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 65.57% (Q1 2026), 76.17% (Q4 2025) and 65.48% (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 | Colony Bankcorp | 431.19 Mn | -471.18 Mn | - | 69.01% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 69.01% |
| Jun 30, 2026 | 70.45% |
| Mar 31, 2026 | 65.57% |
| Dec 31, 2025 | 76.17% |
| Sep 30, 2025 | 65.48% |
| Jun 30, 2025 | 75.36% |
| Mar 31, 2025 | 76.17% |
| Dec 31, 2024 | 79.20% |
| Sep 30, 2024 | 80.71% |
| Jun 30, 2024 | 78.31% |
| Mar 31, 2024 | 76.05% |
| Dec 31, 2023 | 76.02% |
| Sep 30, 2023 | 69.59% |
| Jun 30, 2023 | 64.28% |
| Mar 31, 2023 | 49.47% |
| Dec 31, 2022 | 39.00% |
| Sep 30, 2022 | 31.63% |
| Jun 30, 2022 | 19.35% |
| Mar 31, 2022 | 26.58% |
| Dec 31, 2021 | 21.63% |
Colony Bankcorp 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=CBAN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CBAN", "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=CBAN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();