Affiliated Managers (AMG) Operating Expenses (2009 - 2026)
Affiliated Managers (AMG) posted Operating Expenses of $486.7 million for Q2 2026, up 17.9% from $412.7 million a year earlier but down 3.8% from the prior quarter.
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Analysis
Affiliated Managers (AMG) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Affiliated Managers was $1.93 billion, up 17.8% year-over-year; for FY2025, it was $1.81 billion, up 19.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In prior years, Affiliated Managers' Operating Expenses was $1.51 billion in FY2024 (+0.7%), $1.5 billion in FY2023 (-10.6%), $1.67 billion in FY2022 (+2.6%) and $1.63 billion in FY2021 (+8.1%).
- Quarterly Operating Expenses has run from a low of $357.4 million in Q3 2023 to a high of $526.6 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 14.2% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2025, with growth of 34.2%; the weakest was Q3 2023, with a decline of 16.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $505.9 million (Q1 2026), $526.6 million (Q4 2025) and $409.2 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 | Affiliated Managers | 9.61 Bn | 8.65 Bn | - | 486.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.70 Mn |
| Mar 31, 2026 | 505.90 Mn |
| Dec 31, 2025 | 526.60 Mn |
| Sep 30, 2025 | 409.20 Mn |
| Jun 30, 2025 | 412.70 Mn |
| Mar 31, 2025 | 456.90 Mn |
| Dec 31, 2024 | 392.40 Mn |
| Sep 30, 2024 | 374.70 Mn |
| Jun 30, 2024 | 359.40 Mn |
| Mar 31, 2024 | 381.30 Mn |
| Dec 31, 2023 | 384.10 Mn |
| Sep 30, 2023 | 357.40 Mn |
| Jun 30, 2023 | 374.60 Mn |
| Mar 31, 2023 | 380.50 Mn |
| Dec 31, 2022 | 452.50 Mn |
| Sep 30, 2022 | 425.40 Mn |
| Jun 30, 2022 | 400.60 Mn |
| Mar 31, 2022 | 395.10 Mn |
| Dec 31, 2021 | 467.70 Mn |
| Sep 30, 2021 | 395.30 Mn |
API Access
Affiliated Managers 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=AMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMG", "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=AMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();