Cohen (COHN) EV to EBITDA (2011 - 2026)
Cohen's (COHN) EV to EBITDA came in at -1.94 for Q2 2026, compared with -12.80 a year earlier.
Analysis
Cohen (COHN) EV to EBITDA (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Cohen was -10.18; for FY2025, it was -1.74.
- In prior years, Cohen's EV to EBITDA was -17.75 in FY2023 and -4.19 in FY2021.
- Quarterly EV to EBITDA has run from a low of -916.47 in Q2 2023 to a high of -1.49 in Q1 2026 over five years.
- According to Business Quant data, EV to EBITDA for the three prior quarters was -1.49 (Q1 2026), -1.74 (Q4 2025) and -5.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn |
| 10 | Cohen | 21.50 Mn | -723.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.94 |
| Mar 31, 2026 | -1.49 |
| Dec 31, 2025 | -1.74 |
| Sep 30, 2025 | -5.33 |
| Jun 30, 2025 | -12.80 |
| Sep 30, 2024 | -4.73 |
| Mar 31, 2024 | -8.41 |
| Dec 31, 2023 | -17.75 |
| Jun 30, 2023 | -916.47 |
| Dec 31, 2021 | -4.19 |
| Sep 30, 2021 | -1.81 |
| Jun 30, 2021 | -1.85 |
| Mar 31, 2021 | -1.45 |
| Dec 31, 2020 | -4.82 |
| Sep 30, 2020 | -36.86 |
| Jun 30, 2020 | -188.83 |
| Dec 31, 2019 | -67.97 |
| Sep 30, 2019 | -94.06 |
| Jun 30, 2019 | -69.99 |
| Mar 31, 2019 | -65.87 |
API Access
Cohen EV to EBITDA 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-ebitda&ticker=COHN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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-ebitda&ticker=COHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();