Bank of New York Mellon (BNY) Shares Outstanding (2009 - 2026)
Bank of New York Mellon (BNY) posted Shares Outstanding of 686.13 million for Q2 2026, down 4.0% from 714.8 million a year earlier and down 0.7% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Bank of New York Mellon's Shares Outstanding came in at 710.18 million, down 2.3% from FY2024.
- Annual Shares Outstanding has declined for three consecutive years, with a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- In prior years, Bank of New York Mellon's Shares Outstanding was 726.57 million in FY2024 (-5.3%), 767.15 million in FY2023 (-5.5%), 811.67 million in FY2022 (unchanged) and 811.46 million in FY2021 (-8.8%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding in data going back to Q1 2009.
- On a year-over-year basis, Shares Outstanding has declined in each of the last 14 quarters, with an average decline of 4.3% over the last eight quarters.
- The year-over-year decline in Shares Outstanding has ranged between 0.0% (Q4 2022) and 8.8% (Q4 2021) over the last five years.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 691.18 million (Q1 2026), 710.18 million (Q4 2025) and 705.87 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 899.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 686.13 Mn |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 360.68 Mn |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 564.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 564.16 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 276.15 Mn |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 447.90 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 183.99 Mn |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 104.70 Mn |
| 10 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 79.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 686.13 Mn |
| Mar 31, 2026 | 691.18 Mn |
| Dec 31, 2025 | 710.18 Mn |
| Sep 30, 2025 | 705.87 Mn |
| Jun 30, 2025 | 714.80 Mn |
| Mar 31, 2025 | 720.95 Mn |
| Dec 31, 2024 | 726.57 Mn |
| Sep 30, 2024 | 736.55 Mn |
| Jun 30, 2024 | 746.90 Mn |
| Mar 31, 2024 | 756.94 Mn |
| Dec 31, 2023 | 767.15 Mn |
| Sep 30, 2023 | 777.81 Mn |
| Jun 30, 2023 | 787.72 Mn |
| Mar 31, 2023 | 803.34 Mn |
| Dec 31, 2022 | 811.67 Mn |
| Sep 30, 2022 | 811.30 Mn |
| Jun 30, 2022 | 810.90 Mn |
| Mar 31, 2022 | 809.47 Mn |
| Dec 31, 2021 | 811.46 Mn |
| Sep 30, 2021 | 844.09 Mn |
API Access
Bank of New York Mellon Shares Outstanding 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&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();