Cohen (COHN) Operating Margin (2010 - 2026)
Cohen (COHN) recorded Operating Margin of 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.
Powered by 
Analysis
Cohen (COHN) Operating Margin (2010 - 2026) Analysis & Trends
On a TTM basis, Cohen's Operating Margin came in at 22.06% as of Jun 30, 2026, up 15.35 percentage points year-over-year; for FY2025, it was 21.56%, up 31.64 percentage points from FY2024.
- Annual Operating Margin has a five-year change of -10.97 percentage points (FY2020 to FY2025).
- Across earlier years, Operating Margin came in at -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 Operating Margin has ranged from -2914.66% in Q1 2022 to 33.22% in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Margin has increased for six consecutive quarters, with an average year-over-year change of +18.71 percentage points over the last eight quarters.
- Peak year-over-year performance for Operating Margin in the last five years was a gain of 2829.86 percentage points in Q1 2023, against a drop of 2983.27 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.95 Bn | 95.05 Bn | - | 64.89% |
| 2 | Robinhood Markets | 92.05 Bn | 73.08 Bn | - | - |
| 3 | Intercontinental Exchange | 89.75 Bn | 83.48 Bn | - | 38.52% |
| 4 | Nasdaq | 54.11 Bn | 51.54 Bn | 1.50 Bn | 28.12% |
| 5 | Interactive Brokers | 38.07 Bn | 15.18 Bn | - | - |
| 6 | Cboe Global Markets | 33.28 Bn | 24.93 Bn | 731.60 Mn | 32.99% |
| 7 | LPL Financial Holdings | 25.70 Bn | 21.02 Bn | - | - |
| 8 | Tradeweb Markets | 25.47 Bn | 17.48 Bn | - | 43.88% |
| 9 | Circle Internet | 22.54 Bn | 16.41 Bn | 288.85 Mn | 4.90% |
| 10 | Cohen | 21.68 Mn | -769.03 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 Operating Margin 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=operating-margin&ticker=COHN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=COHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();