Affiliated Managers (AMG) Non Operating Interest Expenses (2009 - 2024)
Affiliated Managers (AMG) reported Non Operating Interest Expenses of $29.9 million for Q1 2024, down 2.0% from $30.5 million a year earlier and down 4.8% from the prior quarter.
Affiliated Managers (AMG) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, Affiliated Managers' Non Operating Interest Expenses came in at $123.3 million, up 6.5% year-over-year; for FY2023, it was $123.8 million, up 8.2% from FY2022.
- Non Operating Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 9.0% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $114.4 million in FY2022 (+2.7%), $111.4 million in FY2021 (+20.7%), $92.3 million in FY2020 (+21.1%) and $76.2 million in FY2019 (-5.5%).
- The Q1 2024 figure ranks as the lowest quarterly Non Operating Interest Expenses since Q4 2022.
- Year over year, Non Operating Interest Expenses gained in six of the last eight quarters, with growth averaging 4.6%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2020 (growth of 42.0%); the low point was Q2 2019 (a decline of 7.9%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $31.4 million (Q4 2023), $31.1 million (Q3 2023) and $30.9 million (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.40 Bn | 111.76 Bn | - | 134.00 Mn |
| 2 | Spdr Gold Trust | 133.61 Bn | -424.39 Bn | - | - |
| 3 | Blackstone | 84.03 Bn | 78.95 Bn | - | 145.02 Mn |
| 4 | Brookfield | 82.79 Bn | -82.59 Bn | 4.47 Bn | -189.00 Mn |
| 5 | Kkr | 80.75 Bn | 47.23 Bn | - | 702.75 Mn |
| 6 | Brookfield Asset Management | 71.44 Bn | 67.69 Bn | - | - |
| 7 | Apollo Global Management | 66.43 Bn | 4.11 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.87 Bn | 57.29 Bn | 687.86 Mn | 31.10 Mn |
| 9 | Franco Nevada | 46.42 Bn | 43.78 Bn | 451.00 Mn | -700,000.00 |
| 10 | Affiliated Managers | 9.85 Bn | 8.89 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 29.90 Mn |
| Dec 31, 2023 | 31.40 Mn |
| Sep 30, 2023 | 31.10 Mn |
| Jun 30, 2023 | 30.90 Mn |
| Mar 31, 2023 | 30.50 Mn |
| Dec 31, 2022 | 29.70 Mn |
| Sep 30, 2022 | 28.30 Mn |
| Jun 30, 2022 | 27.30 Mn |
| Mar 31, 2022 | 29.10 Mn |
| Dec 31, 2021 | 28.60 Mn |
| Sep 30, 2021 | 28.50 Mn |
| Jun 30, 2021 | 26.80 Mn |
| Mar 31, 2021 | 27.50 Mn |
| Dec 31, 2020 | 26.70 Mn |
| Sep 30, 2020 | 23.80 Mn |
| Jun 30, 2020 | 22.30 Mn |
| Mar 31, 2020 | 19.50 Mn |
| Dec 31, 2019 | 18.80 Mn |
| Sep 30, 2019 | 19.50 Mn |
| Jun 30, 2019 | 19.70 Mn |
Affiliated Managers Non Operating Interest 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=non-operating-interest-expenses&ticker=AMG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=AMG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();