Colony Bankcorp (CBAN) Return on Sales [ROS] (2011 - 2026)
Colony Bankcorp (CBAN) posted Return on Sales [ROS] of 1156.11% for Q2 2026, up 52.96 percentage points from 1103.15% a year earlier and up 134.71 percentage points from the prior quarter.
Colony Bankcorp (CBAN) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Colony Bankcorp was 487.34%, down 627.90 percentage points year-over-year; for FY2025, it was 401.62%, down 567.22 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +285.77 percentage points (FY2020 to FY2025).
- In prior years, Colony Bankcorp's Return on Sales [ROS] was 968.84% in FY2024 (+122.99 pp), 845.85% in FY2023 (+709.93 pp), 135.92% in FY2022 (+31.38 pp) and 104.54% in FY2021 (-11.31 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +50.48 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2024, with a gain of 661.70 percentage points; the weakest was Q4 2025, with a drop of 610.64 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 1021.40% (Q1 2026), 448.35% (Q4 2025) and 813.30% (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 | Colony Bankcorp | 432.90 Mn | 432.90 Mn | - | 1,156.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,156.11% |
| Mar 31, 2026 | 1,021.40% |
| Dec 31, 2025 | 448.35% |
| Sep 30, 2025 | 813.30% |
| Jun 30, 2025 | 1,103.15% |
| Mar 31, 2025 | 1,446.99% |
| Dec 31, 2024 | 1,058.99% |
| Sep 30, 2024 | 962.14% |
| Jun 30, 2024 | 954.70% |
| Mar 31, 2024 | 901.81% |
| Dec 31, 2023 | 845.85% |
| Sep 30, 2023 | 332.94% |
| Jun 30, 2023 | 293.00% |
| Mar 31, 2023 | 270.36% |
| Dec 31, 2022 | 214.46% |
| Sep 30, 2022 | 153.33% |
| Jun 30, 2022 | 83.27% |
| Mar 31, 2022 | 111.83% |
| Dec 31, 2021 | 91.83% |
| Sep 30, 2021 | 106.89% |
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();