Bank of New York Mellon (BNY) Professional Fees (2009 - 2026)
Bank of New York Mellon (BNY) recorded Professional Fees of $441 million in Q2 2026, up 13.7% from $388 million a year earlier and up 13.7% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Professional Fees (2009 - 2026) Analysis & Trends
On a TTM basis, Bank of New York Mellon's Professional Fees came in at $1.66 billion as of Jun 30, 2026, up 8.3% year-over-year; for FY2025, it was $1.59 billion, up 5.6% from FY2024.
- Annual Professional Fees has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- Across earlier years, Professional Fees came in at $1.5 billion in FY2024 (-1.6%), $1.53 billion in FY2023 (unchanged), $1.53 billion in FY2022 (+4.7%) and $1.46 billion in FY2021 (+4.0%).
- The Q2 2026 figure is the highest quarterly Professional Fees in data going back to Q1 2009.
- On a year-over-year basis, Professional Fees has increased for eight consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Peak year-over-year performance for Professional Fees in the last five years was growth of 13.7% in Q2 2026, against a decline of 6.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $388 million (Q1 2026), $429 million (Q4 2025) and $404 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 474.00 Mn |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 252.10 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 474.00 Mn |
| Jun 30, 2026 | 441.00 Mn |
| Mar 31, 2026 | 388.00 Mn |
| Dec 31, 2025 | 429.00 Mn |
| Sep 30, 2025 | 404.00 Mn |
| Jun 30, 2025 | 388.00 Mn |
| Mar 31, 2025 | 366.00 Mn |
| Dec 31, 2024 | 410.00 Mn |
| Sep 30, 2024 | 370.00 Mn |
| Jun 30, 2024 | 374.00 Mn |
| Mar 31, 2024 | 349.00 Mn |
| Dec 31, 2023 | 406.00 Mn |
| Sep 30, 2023 | 368.00 Mn |
| Jun 30, 2023 | 378.00 Mn |
| Mar 31, 2023 | 375.00 Mn |
| Dec 31, 2022 | 415.00 Mn |
| Sep 30, 2022 | 363.00 Mn |
| Jun 30, 2022 | 379.00 Mn |
| Mar 31, 2022 | 370.00 Mn |
| Dec 31, 2021 | 390.00 Mn |
API Access
Bank of New York Mellon Professional Fees 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=professional-fees&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "ticker": "BNY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=professional-fees&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();