Price T Rowe (TROW) Operating Expenses (2009 - 2026)
Price T Rowe (TROW) reported Operating Expenses of $1.37 billion for Q2 2026, up 9.8% from $1.25 billion a year earlier and up 16.2% from the prior quarter.
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Analysis
Price T Rowe (TROW) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Price T Rowe's Operating Expenses came in at $5.26 billion, up 8.6% year-over-year; for FY2025, it came in at $5.13 billion, up 7.7% from FY2024.
- Operating Expenses has increased for 16 consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- By year, Operating Expenses came in at $4.76 billion in FY2024 (+6.4%), $4.47 billion in FY2023 (+8.7%), $4.11 billion in FY2022 (+3.9%) and $3.96 billion in FY2021 (+14.5%).
- Five-year quarterly Operating Expenses spans a low of $844.4 million in Q2 2022 and a high of $1.46 billion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last ten quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2023 (growth of 27.5%); the low point was Q2 2022 (a decline of 13.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.18 billion (Q1 2026), $1.46 billion (Q4 2025) and $1.25 billion (Q3 2025).
Peer Set
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 | Price T Rowe | 22.14 Bn | 9.18 Bn | - | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.18 Bn |
| Dec 31, 2025 | 1.46 Bn |
| Sep 30, 2025 | 1.25 Bn |
| Jun 30, 2025 | 1.25 Bn |
| Mar 31, 2025 | 1.17 Bn |
| Dec 31, 2024 | 1.26 Bn |
| Sep 30, 2024 | 1.17 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.16 Bn |
| Dec 31, 2023 | 1.25 Bn |
| Sep 30, 2023 | 1.09 Bn |
| Jun 30, 2023 | 1.08 Bn |
| Mar 31, 2023 | 1.05 Bn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 30, 2022 | 1.01 Bn |
| Jun 30, 2022 | 844.40 Mn |
| Mar 31, 2022 | 985.60 Mn |
| Dec 31, 2021 | 1.10 Bn |
| Sep 30, 2021 | 957.90 Mn |
API Access
Price T Rowe 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=TROW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TROW", "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=TROW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();