Bank of New York Mellon (BNY) Wages, Salaries and Other (2009 - 2026)
Bank of New York Mellon (BNY) posted Wages, Salaries and Other of $1.79 billion for Q2 2026, up 1.0% from $1.77 billion a year earlier but down 5.5% from the prior quarter.
Bank of New York Mellon (BNY) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Wages, Salaries and Other at Bank of New York Mellon was $7.23 billion, up 1.0% year-over-year; for FY2025, it was $7.16 billion, up 0.4% from FY2024.
- Annual Wages, Salaries and Other has increased for five consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In prior years, Bank of New York Mellon's Wages, Salaries and Other was $7.13 billion in FY2024 (+0.5%), $7.1 billion in FY2023 (+4.3%), $6.8 billion in FY2022 (+7.3%) and $6.34 billion in FY2021 (+6.2%).
- Quarterly Wages, Salaries and Other has run from a low of $1.58 billion in Q3 2021 to a high of $1.89 billion in Q1 2026 over five years.
- On a year-over-year basis, Wages, Salaries and Other increased in four of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Wages, Salaries and Other in the past five years was Q4 2022, with growth of 10.3%; the weakest was Q1 2025, with a decline of 1.2%.
- According to Business Quant data, Wages, Salaries and Other for the three prior quarters was $1.89 billion (Q1 2026), $1.81 billion (Q4 2025) and $1.75 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | - |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 1.79 Bn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 233.50 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 509.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 383.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 1.29 Bn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 182.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 868.00 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 154.70 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 355.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.79 Bn |
| Mar 31, 2026 | 1.89 Bn |
| Dec 31, 2025 | 1.81 Bn |
| Sep 30, 2025 | 1.75 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.83 Bn |
| Dec 31, 2024 | 1.82 Bn |
| Sep 30, 2024 | 1.74 Bn |
| Jun 30, 2024 | 1.72 Bn |
| Mar 31, 2024 | 1.86 Bn |
| Dec 31, 2023 | 1.83 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 1.72 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.80 Bn |
| Sep 30, 2022 | 1.67 Bn |
| Jun 30, 2022 | 1.62 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 1.63 Bn |
| Sep 30, 2021 | 1.58 Bn |
Bank of New York Mellon Wages, Salaries and Other 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=wages-salaries-and-other&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();