State Street (STT) Shares Outstanding (Diluted) (2009 - 2026)
State Street's Shares Outstanding (Diluted) came in at 281.06 million for Q2 2026, down 3.2% from 290.49 million a year earlier and down 0.6% from the prior quarter.
State Street (STT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, State Street's Shares Outstanding (Diluted) was 289.02 million, down 4.4% from FY2024.
- Shares Outstanding (Diluted) has declined in each of the last three years, with a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 302.23 million in FY2024 (-7.5%), 326.57 million in FY2023 (-11.8%), 370.11 million in FY2022 (+3.4%) and 357.96 million in FY2021 (+0.2%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) in data going back to Q1 2009.
- Year-over-year, Shares Outstanding (Diluted) has declined for 14 consecutive quarters, with an average decline of 4.6% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q2 2022 (growth of 5.8%), and the weakest in Q3 2023 (a decline of 14.8%).
- Business Quant data shows STT's Shares Outstanding (Diluted) at 282.87 million (Q1 2026), 289.02 million (Q4 2025) and 288.16 million (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 281.06 Mn |
| Mar 31, 2026 | 282.87 Mn |
| Dec 31, 2025 | 289.02 Mn |
| Sep 30, 2025 | 288.16 Mn |
| Jun 30, 2025 | 290.49 Mn |
| Mar 31, 2025 | 292.72 Mn |
| Dec 31, 2024 | 302.23 Mn |
| Sep 30, 2024 | 301.85 Mn |
| Jun 30, 2024 | 304.77 Mn |
| Mar 31, 2024 | 305.94 Mn |
| Dec 31, 2023 | 326.57 Mn |
| Sep 30, 2023 | 317.33 Mn |
| Jun 30, 2023 | 333.54 Mn |
| Mar 31, 2023 | 345.47 Mn |
| Dec 31, 2022 | 370.11 Mn |
| Sep 30, 2022 | 372.42 Mn |
| Jun 30, 2022 | 372.12 Mn |
| Mar 31, 2022 | 372.04 Mn |
| Dec 31, 2021 | 357.96 Mn |
| Sep 30, 2021 | 353.49 Mn |
State Street 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=STT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "STT", "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=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();