Cohen (COHN) EV to CFO (2011 - 2026)
Cohen's EV to CFO was -38.69 in Q1 2026.
Analysis
Cohen (COHN) EV to CFO (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cohen's EV to CFO was -277.79 through Mar 31, 2026; for FY2025, it came in at -3.82.
- In earlier years, EV to CFO was -10.83 in FY2024 and -9.13 in FY2021.
- The Q1 2026 figure marks the lowest quarterly EV to CFO in data going back to Q2 2011.
- Per Business Quant data, COHN's EV to CFO in the three quarters before Q1 2026 was -3.82 (Q4 2025), -3.86 (Q3 2025) and -8.22 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Cohen | 21.20 Mn | -723.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -38.69 |
| Dec 31, 2025 | -3.82 |
| Sep 30, 2025 | -3.86 |
| Jun 30, 2025 | -8.22 |
| Dec 31, 2024 | -10.83 |
| Sep 30, 2024 | -28.66 |
| Sep 30, 2022 | -9.83 |
| Jun 30, 2022 | -3.80 |
| Mar 31, 2022 | -3.62 |
| Dec 31, 2021 | -9.13 |
| Dec 31, 2020 | -4.97 |
| Sep 30, 2020 | -3.02 |
| Jun 30, 2020 | -2.23 |
| Mar 31, 2020 | -7.73 |
| Sep 30, 2018 | -26.44 |
| Jun 30, 2018 | -7.99 |
| Mar 31, 2018 | -12.91 |
| Dec 31, 2014 | -25.39 |
| Jun 30, 2013 | -16.92 |
| Mar 31, 2013 | 1.25 |
API Access
Cohen EV to CFO 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=ev-to-cfo&ticker=COHN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=COHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();