Acadian Asset Management (AAMI) Operating Expenses (2018 - 2026)
Acadian Asset Management (AAMI) reported Operating Expenses of $152.7 million for Q2 2026, up 37.3% from $111.2 million a year earlier and up 22.1% from the prior quarter.
Acadian Asset Management (AAMI) Operating Expenses (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Acadian Asset Management's Operating Expenses came in at $510.2 million, up 28.2% year-over-year; for FY2025, it came in at $431.6 million, up 16.6% from FY2024.
- Operating Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $370.1 million in FY2024 (+15.4%), $320.6 million in FY2023 (+28.6%), $249.3 million in FY2022 (-34.0%) and $378 million in FY2021 (+2.8%).
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses since Q2 2019.
- Year over year, Operating Expenses has now increased in each of the last 14 quarters, with growth averaging 22.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2023 (growth of 55.5%); the low point was Q2 2022 (a decline of 49.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $125.1 million (Q1 2026), $114.8 million (Q4 2025) and $117.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 166.01 Bn | 112.36 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 133.03 Bn | -424.98 Bn | - | 149.76 Mn |
| 3 | Blackstone | 86.20 Bn | 81.13 Bn | - | 2.38 Bn |
| 4 | Kkr | 83.71 Bn | 50.19 Bn | - | 5.41 Bn |
| 5 | Brookfield | 81.54 Bn | -83.85 Bn | 4.47 Bn | 14.94 Bn |
| 6 | Brookfield Asset Management | 71.09 Bn | 67.34 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 68.54 Bn | 6.22 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 61.57 Bn | 57.00 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 47.40 Bn | 44.76 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Acadian Asset Management | 3.32 Bn | 2.80 Bn | - | 152.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.70 Mn |
| Mar 31, 2026 | 125.10 Mn |
| Dec 31, 2025 | 114.80 Mn |
| Sep 30, 2025 | 117.60 Mn |
| Jun 30, 2025 | 111.20 Mn |
| Mar 31, 2025 | 88.00 Mn |
| Dec 31, 2024 | 102.80 Mn |
| Sep 30, 2024 | 96.10 Mn |
| Jun 30, 2024 | 88.40 Mn |
| Mar 31, 2024 | 82.80 Mn |
| Dec 31, 2023 | 95.60 Mn |
| Sep 30, 2023 | 77.10 Mn |
| Jun 30, 2023 | 75.90 Mn |
| Mar 31, 2023 | 72.00 Mn |
| Dec 31, 2022 | 74.80 Mn |
| Sep 30, 2022 | 56.70 Mn |
| Jun 30, 2022 | 48.80 Mn |
| Mar 31, 2022 | 69.00 Mn |
| Dec 31, 2021 | 114.40 Mn |
| Sep 30, 2021 | 89.20 Mn |
Acadian Asset Management 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=AAMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AAMI", "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=AAMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();