Cohen (COHN) Return on Sales [ROS] (2010 - 2026)
Cohen's Return on Sales [ROS] was 17.86% in Q2 2026, up 5.34 percentage points from 12.52% a year earlier and up 8.99 percentage points from the prior quarter.
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Analysis
Cohen (COHN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cohen's Return on Sales [ROS] was 22.06% through Jun 30, 2026, up 15.35 percentage points year-over-year; for FY2025, it was 21.56%, up 31.64 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -10.97 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -10.08% in FY2024 (-18.35 pp), 8.27% in FY2023 (+71.27 pp), -63.00% in FY2022 (-90.05 pp) and 27.05% in FY2021 (-5.48 pp).
- Quarterly Return on Sales [ROS] has moved between -2914.66% (Q1 2022) and 33.22% (Q4 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for six straight quarters, with an average year-over-year change of +18.71 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2023 (a gain of 2829.86 percentage points); the worst was Q1 2022 (a drop of 2983.27 percentage points).
- Per Business Quant data, COHN's Return on Sales [ROS] in the three quarters before Q2 2026 was 8.86% (Q1 2026), 29.24% (Q4 2025) and 25.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Cohen | 21.99 Mn | -722.68 Mn | - | 17.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.86% |
| Mar 31, 2026 | 8.86% |
| Dec 31, 2025 | 29.24% |
| Sep 30, 2025 | 25.84% |
| Jun 30, 2025 | 12.52% |
| Mar 31, 2025 | 0.37% |
| Dec 31, 2024 | -29.68% |
| Sep 30, 2024 | 22.79% |
| Jun 30, 2024 | -58.96% |
| Mar 31, 2024 | -18.18% |
| Dec 31, 2023 | 33.22% |
| Sep 30, 2023 | -23.97% |
| Jun 30, 2023 | 31.01% |
| Mar 31, 2023 | -84.80% |
| Dec 31, 2022 | -22.26% |
| Sep 30, 2022 | 12.14% |
| Jun 30, 2022 | -89.16% |
| Mar 31, 2022 | -2,914.66% |
| Dec 31, 2021 | -9.84% |
| Sep 30, 2021 | -290.37% |
API Access
Cohen 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=COHN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "COHN", "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=COHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();