Ameriprise Financial (AMP) Operating Expenses (2009 - 2026)
Ameriprise Financial (AMP) reported Operating Expenses of $3.5 billion for Q2 2026, up 15.7% from $3.02 billion a year earlier but down 4.6% from the prior quarter.
Ameriprise Financial (AMP) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ameriprise Financial's Operating Expenses came in at $14.45 billion, up 6.3% year-over-year; for FY2025, it came in at $13.98 billion, up 7.5% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $13 billion in FY2024 (+5.7%), $12.3 billion in FY2023 (+19.1%), $10.33 billion in FY2022 (+12.3%) and $9.19 billion in FY2021 (-8.7%).
- Five-year quarterly Operating Expenses spans a low of $1.76 billion in Q3 2021 and a high of $3.75 billion in Q3 2024.
- Year over year, Operating Expenses gained in four of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2022 (growth of 65.7%); the low point was Q3 2021 (a decline of 44.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.67 billion (Q1 2026), $3.67 billion (Q4 2025) and $3.62 billion (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 | Ameriprise Financial | 43.81 Bn | 5.23 Bn | 4.72 Bn | 3.50 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Bn |
| Mar 31, 2026 | 3.67 Bn |
| Dec 31, 2025 | 3.67 Bn |
| Sep 30, 2025 | 3.62 Bn |
| Jun 30, 2025 | 3.02 Bn |
| Mar 31, 2025 | 3.67 Bn |
| Dec 31, 2024 | 3.15 Bn |
| Sep 30, 2024 | 3.75 Bn |
| Jun 30, 2024 | 3.17 Bn |
| Mar 31, 2024 | 2.93 Bn |
| Dec 31, 2023 | 3.50 Bn |
| Sep 30, 2023 | 2.81 Bn |
| Jun 30, 2023 | 2.75 Bn |
| Mar 31, 2023 | 3.25 Bn |
| Dec 31, 2022 | 2.85 Bn |
| Sep 30, 2022 | 2.15 Bn |
| Jun 30, 2022 | 2.71 Bn |
| Mar 31, 2022 | 2.62 Bn |
| Dec 31, 2021 | 2.88 Bn |
| Sep 30, 2021 | 1.76 Bn |
Ameriprise Financial 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=AMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AMP", "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=AMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();