Bank of New York Mellon (BNY) Tax Provisions (2009 - 2026)
Bank of New York Mellon (BNY) posted Tax Provisions of $475 million for Q2 2026, up 17.6% from $404 million a year earlier and up 23.1% from the prior quarter.
Bank of New York Mellon (BNY) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Tax Provisions at Bank of New York Mellon was $1.63 billion, up 20.4% year-over-year; for FY2025, it came in at $1.48 billion, up 13.0% from FY2024.
- Annual Tax Provisions has increased for five consecutive years, with a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, Bank of New York Mellon's Tax Provisions was $1.31 billion in FY2024 (+33.3%), $979 million in FY2023 (+4.5%), $937 million in FY2022 (+6.8%) and $877 million in FY2021 (+4.2%).
- The Q2 2026 figure stands as the highest quarterly Tax Provisions since Q3 2014.
- On a year-over-year basis, Tax Provisions has increased in each of the last nine quarters, with growth averaging 55.8% over the last eight quarters.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q4 2024, with growth of 331.5%; the weakest was Q4 2023, with a decline of 48.6%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $386 million (Q1 2026), $376 million (Q4 2025) and $395 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 136.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 475.00 Mn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 285.90 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 312.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 146.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 305.00 Mn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 118.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 272.50 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 141.60 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 136.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475.00 Mn |
| Mar 31, 2026 | 386.00 Mn |
| Dec 31, 2025 | 376.00 Mn |
| Sep 30, 2025 | 395.00 Mn |
| Jun 30, 2025 | 404.00 Mn |
| Mar 31, 2025 | 300.00 Mn |
| Dec 31, 2024 | 315.00 Mn |
| Sep 30, 2024 | 336.00 Mn |
| Jun 30, 2024 | 357.00 Mn |
| Mar 31, 2024 | 297.00 Mn |
| Dec 31, 2023 | 73.00 Mn |
| Sep 30, 2023 | 285.00 Mn |
| Jun 30, 2023 | 315.00 Mn |
| Mar 31, 2023 | 306.00 Mn |
| Dec 31, 2022 | 142.00 Mn |
| Sep 30, 2022 | 242.00 Mn |
| Jun 30, 2022 | 231.00 Mn |
| Mar 31, 2022 | 153.00 Mn |
| Dec 31, 2021 | 196.00 Mn |
| Sep 30, 2021 | 219.00 Mn |
Bank of New York Mellon Tax Provisions 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=tax-provisions&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();