Bank of New York Mellon (BNY) Treasury Shares (2009 - 2026)
Bank of New York Mellon (BNY) reported Treasury Shares of $35.9 billion for Q2 2026, up 12.6% from $31.89 billion a year earlier and up 3.2% from the prior quarter.
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Analysis
Bank of New York Mellon (BNY) Treasury Shares (2009 - 2026) Analysis & Trends
At the end of FY2025, Bank of New York Mellon posted Treasury Shares of $33.81 billion, up 11.8% from FY2024.
- Treasury Shares has increased for 14 consecutive years, with a five-year compound annual growth rate of 11.3% (FY2020 to FY2025).
- By year, Treasury Shares came in at $30.24 billion in FY2024 (+11.4%), $27.15 billion in FY2023 (+10.7%), $24.52 billion in FY2022 (+0.5%) and $24.4 billion in FY2021 (+23.0%).
- The Q2 2026 figure ranks as the highest quarterly Treasury Shares in data going back to Q4 2009.
- Year over year, Treasury Shares has now increased in each of the last 51 quarters, with growth averaging 11.3% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 0.5% (Q4 2022) and 23.0% (Q4 2021) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.79 billion (Q1 2026), $33.81 billion (Q4 2025) and $32.75 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | - |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 745.00 Mn |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 94.00 Mn |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | - |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 25.54 Mn |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 229.18 Mn |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 617,110.00 |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 389,420.00 |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 62.22 Mn |
| 10 | Tradeweb Markets | 28.70 Bn | 21.41 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 745.00 Mn |
| Mar 31, 2026 | 736.99 Mn |
| Dec 31, 2025 | 728.73 Mn |
| Sep 30, 2025 | 719.28 Mn |
| Jun 30, 2025 | 711.00 Mn |
| Mar 31, 2025 | 700.62 Mn |
| Dec 31, 2024 | 691.95 Mn |
| Sep 30, 2024 | 682.36 Mn |
| Jun 30, 2024 | 671.22 Mn |
| Mar 31, 2024 | 660.95 Mn |
| Dec 31, 2023 | 643.09 Mn |
| Sep 30, 2023 | 633.05 Mn |
| Jun 30, 2023 | 623.07 Mn |
| Mar 31, 2023 | 612.43 Mn |
| Dec 31, 2022 | 587.28 Mn |
| Sep 30, 2022 | 587.25 Mn |
| Jun 30, 2022 | 587.21 Mn |
| Mar 31, 2022 | 587.16 Mn |
| Dec 31, 2021 | 585.25 Mn |
| Sep 30, 2021 | 563.22 Mn |
API Access
Bank of New York Mellon Treasury Shares 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=treasury-shares&ticker=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();