Cohen & Steers (CNS) Change in Accured Expenses (2010 - 2026)
Cohen & Steers (CNS) recorded Change in Accured Expenses of $23.5 million in Q2 2026, up 17.6% from $19.98 million a year earlier.
Powered by 
Analysis
Cohen & Steers (CNS) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cohen & Steers' Change in Accured Expenses came in at $4 million as of Jun 30, 2026; for FY2025, it was $9.57 million.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at -$16.38 million in FY2024, -$11.38 million in FY2023, -$1.76 million in FY2022 and $22.78 million in FY2021 (+392.9%).
- The Q2 2026 figure is the highest quarterly Change in Accured Expenses since Q3 2013.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last five quarters, with an average decline of 7.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 39.3% in Q3 2021, against a decline of 91.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$60.16 million (Q1 2026), $20.64 million (Q4 2025) and $20.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 845.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | -244.18 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 834.56 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | -10.40 Mn |
| 10 | Cohen & Steers | 3.76 Bn | 3.47 Bn | - | 23.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.50 Mn |
| Mar 31, 2026 | -60.16 Mn |
| Dec 31, 2025 | 20.64 Mn |
| Sep 30, 2025 | 20.03 Mn |
| Jun 30, 2025 | 19.98 Mn |
| Mar 31, 2025 | -51.09 Mn |
| Dec 31, 2024 | 1.33 Mn |
| Sep 30, 2024 | 15.71 Mn |
| Jun 30, 2024 | 15.81 Mn |
| Mar 31, 2024 | -49.22 Mn |
| Dec 31, 2023 | 16.39 Mn |
| Sep 30, 2023 | 18.50 Mn |
| Jun 30, 2023 | 14.92 Mn |
| Mar 31, 2023 | -61.20 Mn |
| Dec 31, 2022 | 15.03 Mn |
| Sep 30, 2022 | 17.70 Mn |
| Jun 30, 2022 | 19.92 Mn |
| Mar 31, 2022 | -54.42 Mn |
| Dec 31, 2021 | 14.94 Mn |
| Sep 30, 2021 | 21.29 Mn |
API Access
Cohen & Steers Change in Accured 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=change-in-accured-expenses&ticker=CNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();