Bank of New York Mellon (BNY) Shares Outstanding (Diluted) (2009 - 2026)
Bank of New York Mellon (BNY) recorded Shares Outstanding (Diluted) of 692.22 million in Q2 2026, down 3.9% from 720.01 million a year earlier and down 0.9% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Bank of New York Mellon reported Shares Outstanding (Diluted) of 716.72 million, down 2.3% from FY2024.
- Annual Shares Outstanding (Diluted) has declined for 15 straight years, with a five-year compound annual growth rate of -4.3% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 733.72 million in FY2024 (-5.0%), 772.1 million in FY2023 (-5.4%), 815.85 million in FY2022 (-0.2%) and 817.35 million in FY2021 (-8.4%).
- The Q2 2026 figure is the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding (Diluted) has declined for 59 consecutive quarters, with an average decline of 4.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.2% in Q4 2022 to 8.4% in Q4 2021.
- Per Business Quant, the preceding three quarters came in at 698.16 million (Q1 2026), 716.72 million (Q4 2025) and 712.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 912.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 692.22 Mn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 361.28 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 566.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 567.75 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 281.06 Mn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 450.09 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 184.89 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 104.90 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 80.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 692.22 Mn |
| Mar 31, 2026 | 698.16 Mn |
| Dec 31, 2025 | 716.72 Mn |
| Sep 30, 2025 | 712.85 Mn |
| Jun 30, 2025 | 720.01 Mn |
| Mar 31, 2025 | 727.40 Mn |
| Dec 31, 2024 | 733.72 Mn |
| Sep 30, 2024 | 742.08 Mn |
| Jun 30, 2024 | 751.60 Mn |
| Mar 31, 2024 | 762.27 Mn |
| Dec 31, 2023 | 772.10 Mn |
| Sep 30, 2023 | 781.78 Mn |
| Jun 30, 2023 | 790.73 Mn |
| Mar 31, 2023 | 807.72 Mn |
| Dec 31, 2022 | 815.85 Mn |
| Sep 30, 2022 | 814.52 Mn |
| Jun 30, 2022 | 813.59 Mn |
| Mar 31, 2022 | 813.99 Mn |
| Dec 31, 2021 | 817.35 Mn |
| Sep 30, 2021 | 849.03 Mn |
API Access
Bank of New York Mellon Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();