Bank of New York Mellon (BNY) Accumulated Expenses (2009 - 2026)
Bank of New York Mellon (BNY) recorded Accumulated Expenses of $4.91 billion in Q2 2026, up 5.9% from $4.63 billion a year earlier and up 10.3% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank of New York Mellon reported Accumulated Expenses of $5.54 billion, up 5.2% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $5.27 billion in FY2024 (-2.6%), $5.41 billion in FY2023 (unchanged), $5.41 billion in FY2022 (-6.2%) and $5.77 billion in FY2021 (+1.2%).
- Quarterly Accumulated Expenses has ranged from $4.4 billion in Q1 2024 to $5.77 billion in Q4 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses has increased for three consecutive quarters, with an average decline of 0.2% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 5.9% in Q2 2026, against a decline of 8.4% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $4.45 billion (Q1 2026), $5.54 billion (Q4 2025) and $4.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.91 Bn |
| Mar 31, 2026 | 4.45 Bn |
| Dec 31, 2025 | 5.54 Bn |
| Sep 30, 2025 | 4.92 Bn |
| Jun 30, 2025 | 4.63 Bn |
| Mar 31, 2025 | 4.44 Bn |
| Dec 31, 2024 | 5.27 Bn |
| Sep 30, 2024 | 5.14 Bn |
| Jun 30, 2024 | 4.73 Bn |
| Mar 31, 2024 | 4.40 Bn |
| Dec 31, 2023 | 5.41 Bn |
| Sep 30, 2023 | 5.39 Bn |
| Jun 30, 2023 | 5.16 Bn |
| Mar 31, 2023 | 4.73 Bn |
| Dec 31, 2022 | 5.41 Bn |
| Sep 30, 2022 | 5.32 Bn |
| Jun 30, 2022 | 5.01 Bn |
| Mar 31, 2022 | 4.53 Bn |
| Dec 31, 2021 | 5.77 Bn |
| Sep 30, 2021 | 5.61 Bn |
API Access
Bank of New York Mellon Accumulated 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=accumulated-expenses&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();