Bank of New York Mellon (BNY) Common Stock (2009 - 2023)
Bank of New York Mellon (BNY) posted Common Stock of $14 million for Q4 2023, unchanged from $14 million a year earlier.
Analysis
Bank of New York Mellon (BNY) Common Stock (2009 - 2023) Analysis & Trends
Since Q4 2009, Bank of New York Mellon has reported Common Stock for 44 quarters.
- Annual Common Stock shows a five-year compound annual growth rate of 0.0% (FY2018 to FY2023).
- In prior years, Bank of New York Mellon's Common Stock was $14 million in FY2022 (unchanged), $14 million in FY2021 (unchanged), $14 million in FY2020 (unchanged) and $14 million in FY2019 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Stock (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | - |
| 2 | Bank of New York Mellon | 103.23 Bn | 37.32 Bn | - | - |
| 3 | Intercontinental Exchange | 99.60 Bn | 93.42 Bn | 1.22 Bn | - |
| 4 | Robinhood Markets | 70.15 Bn | 49.76 Bn | - | - |
| 5 | Nasdaq | 60.57 Bn | 58.01 Bn | 1.48 Bn | - |
| 6 | State Street | 47.32 Bn | 43.94 Bn | - | - |
| 7 | Cboe Global Markets | 39.19 Bn | 29.68 Bn | 712.20 Mn | - |
| 8 | Interactive Brokers | 37.06 Bn | 20.72 Bn | - | - |
| 9 | Northern Trust | 32.28 Bn | 32.28 Bn | - | 408.60 Mn |
| 10 | Tradeweb Markets | 30.81 Bn | 23.33 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 14.00 Mn |
| Dec 31, 2022 | 14.00 Mn |
| Jun 30, 2022 | 14.00 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
| Sep 30, 2021 | 14.00 Mn |
| Jun 30, 2021 | 14.00 Mn |
| Mar 31, 2021 | 14.00 Mn |
| Dec 31, 2020 | 14.00 Mn |
| Sep 30, 2020 | 14.00 Mn |
| Jun 30, 2020 | 14.00 Mn |
| Mar 31, 2020 | 14.00 Mn |
| Dec 31, 2019 | 14.00 Mn |
| Sep 30, 2019 | 14.00 Mn |
| Jun 30, 2019 | 14.00 Mn |
| Mar 31, 2019 | 14.00 Mn |
| Dec 31, 2018 | 14.00 Mn |
| Sep 30, 2018 | 14.00 Mn |
| Jun 30, 2018 | 14.00 Mn |
| Mar 31, 2018 | 14.00 Mn |
API Access
Bank of New York Mellon Common Stock 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=common-stock&ticker=BNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-stock", "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=common-stock&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();