Community Bancorp (CMTV) Return on Sales [ROS] (2011 - 2026)
Community Bancorp's Return on Sales [ROS] came in at 81.33% for Q1 2026, down 2.85 percentage points from 84.18% a year earlier but up 0.75 percentage points from the prior quarter.
Community Bancorp (CMTV) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Community Bancorp reported Return on Sales [ROS] of 83.72%, down 2.58 percentage points year-over-year; for FY2025, it was 82.84%, down 2.24 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +31.81 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 85.07% in FY2024 (+14.95 pp), 70.12% in FY2023 (+17.50 pp), 52.62% in FY2022 (+2.51 pp) and 50.11% in FY2021 (-0.92 pp).
- The five-year range for quarterly Return on Sales [ROS] is 37.14% (Q2 2025) to 91.51% (Q4 2024).
- Year-over-year, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -1.71 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 22.70 percentage points), and the weakest in Q2 2025 (a drop of 47.59 percentage points).
- Business Quant data shows CMTV's Return on Sales [ROS] at 80.58% (Q4 2025), 84.56% (Q3 2025) and 37.14% (Q2 2025) in the three quarters before Q1 2026.
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 | Community Bancorp | 234.12 Mn | 234.12 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 81.33% |
| Dec 31, 2025 | 80.58% |
| Sep 30, 2025 | 84.56% |
| Jun 30, 2025 | 37.14% |
| Mar 31, 2025 | 84.18% |
| Dec 31, 2024 | 91.51% |
| Sep 30, 2024 | 84.40% |
| Jun 30, 2024 | 84.74% |
| Mar 31, 2024 | 78.86% |
| Dec 31, 2023 | 73.77% |
| Sep 30, 2023 | 76.34% |
| Jun 30, 2023 | 68.35% |
| Mar 31, 2023 | 61.88% |
| Dec 31, 2022 | 66.05% |
| Sep 30, 2022 | 55.50% |
| Jun 30, 2022 | 46.98% |
| Mar 31, 2022 | 39.18% |
| Dec 31, 2021 | 50.88% |
| Sep 30, 2021 | 51.95% |
| Jun 30, 2021 | 48.59% |
Community Bancorp 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=CMTV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CMTV", "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=CMTV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();