Cohen (COHN) Cash & Equivalents (2010 - 2026)
Cohen (COHN) posted Cash & Equivalents of $40.09 million for Q2 2026, up 54.2% from $26 million a year earlier and up 111.1% from the prior quarter.
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Analysis
Cohen (COHN) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cohen's Cash & Equivalents came in at $56.76 million, up 189.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Cohen's Cash & Equivalents was $19.59 million in FY2024 (+83.9%), $10.65 million in FY2023 (-63.4%), $29.1 million in FY2022 (-42.5%) and $50.57 million in FY2021 (+20.4%).
- Quarterly Cash & Equivalents has run from a low of $3.64 million in Q1 2023 to a high of $62.51 million in Q1 2022 over five years.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last eight quarters, with growth averaging 105.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 282.7%; the weakest was Q1 2023, with a decline of 94.2%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $18.99 million (Q1 2026), $56.76 million (Q4 2025) and $54.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 5.36 Bn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 2.14 Bn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 1.07 Bn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 520.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 7.71 Bn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 2.28 Bn |
| 10 | Cohen | 21.99 Mn | -722.68 Mn | - | 40.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.09 Mn |
| Mar 31, 2026 | 18.99 Mn |
| Dec 31, 2025 | 56.76 Mn |
| Sep 30, 2025 | 54.69 Mn |
| Jun 30, 2025 | 26.00 Mn |
| Mar 31, 2025 | 13.99 Mn |
| Dec 31, 2024 | 19.59 Mn |
| Sep 30, 2024 | 14.29 Mn |
| Jun 30, 2024 | 9.58 Mn |
| Mar 31, 2024 | 11.83 Mn |
| Dec 31, 2023 | 10.65 Mn |
| Sep 30, 2023 | 13.35 Mn |
| Jun 30, 2023 | 12.17 Mn |
| Mar 31, 2023 | 3.64 Mn |
| Dec 31, 2022 | 29.10 Mn |
| Sep 30, 2022 | 47.29 Mn |
| Jun 30, 2022 | 50.07 Mn |
| Mar 31, 2022 | 62.51 Mn |
| Dec 31, 2021 | 50.57 Mn |
| Sep 30, 2021 | 41.83 Mn |
API Access
Cohen Cash & Equivalents 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=cash-and-equivalents&ticker=COHN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=COHN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();