Bank of New York Mellon (BNY) Price to Earnings (2009 - 2026)
Bank of New York Mellon's Price to Earnings came in at 16.29 for Q2 2026, up 21.2% from 13.44 a year earlier and up 14.4% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Price to Earnings (2009 - 2026) Analysis & Trends
For FY2025, Bank of New York Mellon's Price to Earnings was 15.06, up 18.4% from FY2024.
- Going back by year, Price to Earnings was 12.72 in FY2024 (-1.3%), 12.89 in FY2023 (-17.9%), 15.69 in FY2022 (+19.3%) and 13.15 in FY2021 (+19.6%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q3 2015.
- Year-over-year, Price to Earnings has increased for three consecutive quarters, with growth averaging 12.3% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in Q3 2021 (growth of 68.6%), and the weakest in Q2 2022 (a decline of 19.3%).
- Business Quant data shows BNY's Price to Earnings at 14.24 (Q1 2026), 15.06 (Q4 2025) and 15.17 (Q3 2025) in the three quarters before Q2 2026.
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 | 16.29 |
| Mar 31, 2026 | 14.24 |
| Dec 31, 2025 | 15.06 |
| Sep 30, 2025 | 15.17 |
| Jun 30, 2025 | 13.44 |
| Mar 31, 2025 | 13.24 |
| Dec 31, 2024 | 12.72 |
| Sep 30, 2024 | 15.51 |
| Jun 30, 2024 | 13.74 |
| Mar 31, 2024 | 13.86 |
| Dec 31, 2023 | 12.89 |
| Sep 30, 2023 | 9.61 |
| Jun 30, 2023 | 12.49 |
| Mar 31, 2023 | 13.93 |
| Dec 31, 2022 | 15.58 |
| Sep 30, 2022 | 11.64 |
| Jun 30, 2022 | 10.41 |
| Mar 31, 2022 | 11.82 |
| Dec 31, 2021 | 13.15 |
| Sep 30, 2021 | 12.47 |
API Access
Bank of New York Mellon Price to Earnings 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=price-to-earnings&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();