Bank of New York Mellon (BNY) Other Non-Interest Expense (2009 - 2026)
Bank of New York Mellon (BNY) reported Other Non-Interest Expense of $491 million for Q2 2026, up 29.2% from $380 million a year earlier and up 12.6% from the prior quarter.
Bank of New York Mellon (BNY) Other Non-Interest Expense (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank of New York Mellon's Other Non-Interest Expense came in at $1.72 billion, up 8.9% year-over-year; for FY2025, it came in at $1.57 billion, up 3.0% from FY2024.
- Other Non-Interest Expense has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- By year, Other Non-Interest Expense came in at $1.52 billion in FY2024 (-32.7%), $2.26 billion in FY2023 (-7.7%), $2.45 billion in FY2022 (+47.3%) and $1.66 billion in FY2021 (+5.1%).
- The Q2 2026 figure ranks as the highest quarterly Other Non-Interest Expense since Q4 2023.
- Year over year, Other Non-Interest Expense gained in six of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Other Non-Interest Expense in five years was Q4 2023 (growth of 170.6%); the low point was Q3 2023 (a decline of 66.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $436 million (Q1 2026), $400 million (Q4 2025) and $393 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Int. Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | 467.00 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 | - | 673.00 Mn |
| 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 | - | 106.30 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 467.00 Mn |
| Jun 30, 2026 | 491.00 Mn |
| Mar 31, 2026 | 436.00 Mn |
| Dec 31, 2025 | 400.00 Mn |
| Sep 30, 2025 | 393.00 Mn |
| Jun 30, 2025 | 380.00 Mn |
| Mar 31, 2025 | 392.00 Mn |
| Dec 31, 2024 | 446.00 Mn |
| Sep 30, 2024 | 361.00 Mn |
| Jun 30, 2024 | 353.00 Mn |
| Mar 31, 2024 | 359.00 Mn |
| Dec 31, 2023 | 1.10 Bn |
| Sep 30, 2023 | 359.00 Mn |
| Jun 30, 2023 | 430.00 Mn |
| Mar 31, 2023 | 372.00 Mn |
| Dec 31, 2022 | 405.00 Mn |
| Sep 30, 2022 | 1.08 Bn |
| Jun 30, 2022 | 563.00 Mn |
| Mar 31, 2022 | 396.00 Mn |
| Dec 31, 2021 | 413.00 Mn |
Bank of New York Mellon Other Non-Interest Expense 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-non-interest-expense&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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-non-interest-expense&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();