Bank of New York Mellon (BNY) Other Operating Expenses (2009 - 2026)
Bank of New York Mellon (BNY) posted Other Operating Expenses of $569 million for Q2 2026, up 8.0% from $527 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Other Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Bank of New York Mellon was $2.23 billion, up 8.8% year-over-year; for FY2025, it came in at $2.15 billion, up 9.4% from FY2024.
- Annual Other Operating Expenses has increased for nine consecutive years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior years, Bank of New York Mellon's Other Operating Expenses was $1.96 billion in FY2024 (+8.0%), $1.82 billion in FY2023 (+9.7%), $1.66 billion in FY2022 (+12.1%) and $1.48 billion in FY2021 (+5.3%).
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q1 2009.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 26 quarters, with growth averaging 8.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 2.4% (Q4 2021) to 13.2% (Q3 2022).
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $556 million (Q1 2026), $565 million (Q4 2025) and $542 million (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 | 569.00 Mn |
| Mar 31, 2026 | 556.00 Mn |
| Dec 31, 2025 | 565.00 Mn |
| Sep 30, 2025 | 542.00 Mn |
| Jun 30, 2025 | 527.00 Mn |
| Mar 31, 2025 | 513.00 Mn |
| Dec 31, 2024 | 520.00 Mn |
| Sep 30, 2024 | 491.00 Mn |
| Jun 30, 2024 | 476.00 Mn |
| Mar 31, 2024 | 475.00 Mn |
| Dec 31, 2023 | 486.00 Mn |
| Sep 30, 2023 | 452.00 Mn |
| Jun 30, 2023 | 450.00 Mn |
| Mar 31, 2023 | 429.00 Mn |
| Dec 31, 2022 | 432.00 Mn |
| Sep 30, 2022 | 421.00 Mn |
| Jun 30, 2022 | 405.00 Mn |
| Mar 31, 2022 | 399.00 Mn |
| Dec 31, 2021 | 390.00 Mn |
| Sep 30, 2021 | 372.00 Mn |
API Access
Bank of New York Mellon Other 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=other-operating-expenses&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();