Invesco (IVZ) Operating Expenses (2009 - 2026)
Invesco (IVZ) posted Operating Expenses of $1.46 billion for Q2 2026, up 12.3% from $1.3 billion a year earlier and up 3.5% from the prior quarter.
Invesco (IVZ) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Invesco was $7.39 billion, up 40.8% year-over-year; for FY2025, it was $7.07 billion, up 35.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- In prior years, Invesco's Operating Expenses was $5.23 billion in FY2024 (-14.9%), $6.15 billion in FY2023 (+30.0%), $4.73 billion in FY2022 (-7.3%) and $5.11 billion in FY2021 (-2.3%).
- Quarterly Operating Expenses has run from a low of $1.1 billion in Q3 2022 to a high of $3.15 billion in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 17.1% 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 145.9%; the weakest was Q4 2024, with a decline of 48.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $1.41 billion (Q1 2026), $3.15 billion (Q4 2025) and $1.37 billion (Q3 2025).
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 | Invesco | 13.54 Bn | 10.44 Bn | - | 1.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.46 Bn |
| Mar 31, 2026 | 1.41 Bn |
| Dec 31, 2025 | 3.15 Bn |
| Sep 30, 2025 | 1.37 Bn |
| Jun 30, 2025 | 1.30 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.28 Bn |
| Sep 30, 2024 | 1.41 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.26 Bn |
| Dec 31, 2023 | 2.49 Bn |
| Sep 30, 2023 | 1.21 Bn |
| Jun 30, 2023 | 1.24 Bn |
| Mar 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.20 Bn |
| Sep 30, 2022 | 1.10 Bn |
| Jun 30, 2022 | 1.19 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 1.25 Bn |
| Sep 30, 2021 | 1.29 Bn |
Invesco 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=IVZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IVZ", "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=IVZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();