Cohen & Steers (CNS) EBITDA (2017 - 2026)
Cohen & Steers (CNS) posted EBITDA of $55.9 million for Q2 2026, up 21.1% from $46.16 million a year earlier and up 5.0% from the prior quarter.
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Analysis
Cohen & Steers (CNS) EBITDA (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Cohen & Steers was $204.42 million, up 5.4% year-over-year; for FY2025, it was $189.45 million, up 2.9% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Cohen & Steers' EBITDA was $184.05 million in FY2024 (+8.5%), $169.62 million in FY2023 (-23.5%), $221.61 million in FY2022 (-16.7%) and $266.09 million in FY2021 (+158.6%).
- The Q2 2026 figure stands as the highest quarterly EBITDA since Q3 2022.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 11.6%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q3 2021, with growth of 55.1%; the weakest was Q4 2022, with a decline of 41.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $53.25 million (Q1 2026), $43.37 million (Q4 2025) and $51.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 2.85 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | -7.76 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 2.03 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 2.23 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Cohen & Steers | 3.76 Bn | 3.47 Bn | - | 55.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 55.90 Mn |
| Mar 31, 2026 | 53.25 Mn |
| Dec 31, 2025 | 43.37 Mn |
| Sep 30, 2025 | 51.90 Mn |
| Jun 30, 2025 | 46.16 Mn |
| Mar 31, 2025 | 48.03 Mn |
| Dec 31, 2024 | 52.21 Mn |
| Sep 30, 2024 | 47.61 Mn |
| Jun 30, 2024 | 41.29 Mn |
| Mar 31, 2024 | 42.93 Mn |
| Dec 31, 2023 | 39.63 Mn |
| Sep 30, 2023 | 41.90 Mn |
| Jun 30, 2023 | 41.92 Mn |
| Mar 31, 2023 | 46.16 Mn |
| Dec 31, 2022 | 48.29 Mn |
| Sep 30, 2022 | 58.61 Mn |
| Jun 30, 2022 | 62.34 Mn |
| Mar 31, 2022 | 52.36 Mn |
| Dec 31, 2021 | 81.90 Mn |
| Sep 30, 2021 | 69.61 Mn |
API Access
Cohen & Steers 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=ebitda&ticker=CNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "CNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=CNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();