Affiliated Managers (AMG) EBITDA (2009 - 2026)
Affiliated Managers' EBITDA was $357.3 million in Q2 2026, up 66.3% from $214.9 million a year earlier and up 26.3% from the prior quarter.
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Analysis
Affiliated Managers (AMG) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Affiliated Managers' EBITDA was $1.67 billion through Jun 30, 2026, up 60.1% year-over-year; for FY2025, it came in at $1.49 billion, up 35.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In earlier years, EBITDA was $1.1 billion in FY2024 (-13.9%), $1.28 billion in FY2023 (-33.8%), $1.93 billion in FY2022 (+47.8%) and $1.3 billion in FY2021 (+71.6%).
- Quarterly EBITDA has moved between $214.9 million (Q2 2025) and $1.1 billion (Q4 2022) over five years.
- Compared with a year earlier, EBITDA has increased for four straight quarters, with growth averaging 22.0% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2022 (growth of 168.7%); the worst was Q4 2023 (a decline of 71.1%).
- Per Business Quant data, AMG's EBITDA in the three quarters before Q2 2026 was $283 million (Q1 2026), $627 million (Q4 2025) and $404.6 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 | Affiliated Managers | 9.61 Bn | 8.65 Bn | - | 357.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 357.30 Mn |
| Mar 31, 2026 | 283.00 Mn |
| Dec 31, 2025 | 627.00 Mn |
| Sep 30, 2025 | 404.60 Mn |
| Jun 30, 2025 | 214.90 Mn |
| Mar 31, 2025 | 246.80 Mn |
| Dec 31, 2024 | 320.10 Mn |
| Sep 30, 2024 | 262.40 Mn |
| Jun 30, 2024 | 222.20 Mn |
| Mar 31, 2024 | 294.30 Mn |
| Dec 31, 2023 | 319.30 Mn |
| Sep 30, 2023 | 410.30 Mn |
| Jun 30, 2023 | 266.90 Mn |
| Mar 31, 2023 | 280.20 Mn |
| Dec 31, 2022 | 1.10 Bn |
| Sep 30, 2022 | 247.60 Mn |
| Jun 30, 2022 | 256.50 Mn |
| Mar 31, 2022 | 319.50 Mn |
| Dec 31, 2021 | 411.10 Mn |
| Sep 30, 2021 | 294.70 Mn |
API Access
Affiliated Managers 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=AMG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();