Cohen & Steers (CNS) Operating Expenses (2010 - 2026)
Cohen & Steers (CNS) posted Operating Expenses of $99.96 million for Q2 2026, up 7.7% from $92.8 million a year earlier and up 4.6% from the prior quarter.
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Analysis
Cohen & Steers (CNS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cohen & Steers was $391.78 million, up 8.6% year-over-year; for FY2025, it came in at $378.38 million, up 9.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 2.6% (FY2020 to FY2025).
- In prior years, Cohen & Steers' Operating Expenses was $344.54 million in FY2024 (+6.0%), $325.16 million in FY2023 (-7.4%), $350.97 million in FY2022 (+8.5%) and $323.46 million in FY2021 (-2.7%).
- Quarterly Operating Expenses has run from a low of $78.56 million in Q4 2022 to a high of $103.49 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 12 quarters, with growth averaging 9.0% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 39.8%; the weakest was Q4 2021, with a decline of 38.4%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $95.52 million (Q1 2026), $103.49 million (Q4 2025) and $92.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | 149.76 Mn |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 2.38 Bn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | 14.94 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Cohen & Steers | 3.76 Bn | 3.47 Bn | - | 99.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.96 Mn |
| Mar 31, 2026 | 95.52 Mn |
| Dec 31, 2025 | 103.49 Mn |
| Sep 30, 2025 | 92.82 Mn |
| Jun 30, 2025 | 92.80 Mn |
| Mar 31, 2025 | 89.27 Mn |
| Dec 31, 2024 | 90.45 Mn |
| Sep 30, 2024 | 88.33 Mn |
| Jun 30, 2024 | 83.32 Mn |
| Mar 31, 2024 | 82.45 Mn |
| Dec 31, 2023 | 81.32 Mn |
| Sep 30, 2023 | 82.87 Mn |
| Jun 30, 2023 | 79.79 Mn |
| Mar 31, 2023 | 81.18 Mn |
| Dec 31, 2022 | 78.56 Mn |
| Sep 30, 2022 | 82.77 Mn |
| Jun 30, 2022 | 86.44 Mn |
| Mar 31, 2022 | 103.20 Mn |
| Dec 31, 2021 | 79.12 Mn |
| Sep 30, 2021 | 85.96 Mn |
API Access
Cohen & Steers Operating Expenses 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-expenses&ticker=CNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();