Intercontinental Exchange (ICE) Shares Outstanding (Diluted) (2012 - 2026)
Intercontinental Exchange's Shares Outstanding (Diluted) came in at 566 million for Q2 2026, down 1.6% from 575 million a year earlier and down 0.7% from the prior quarter.
Intercontinental Exchange (ICE) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Intercontinental Exchange's Shares Outstanding (Diluted) was 575 million, down 0.2% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 576 million in FY2024 (+1.9%), 565 million in FY2023 (+0.7%), 561 million in FY2022 (-0.7%) and 565 million in FY2021 (+1.8%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Diluted) since Q4 2023.
- Year-over-year, Shares Outstanding (Diluted) has declined for four consecutive quarters, with growth averaging 0.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2021 (growth of 2.7%), and the weakest in Q2 2026 (a decline of 1.6%).
- Business Quant data shows ICE's Shares Outstanding (Diluted) at 570 million (Q1 2026), 575 million (Q4 2025) and 574 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 | 104.70 Bn | 85.79 Bn | - | 912.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 692.22 Mn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 361.28 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 566.00 Mn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 567.75 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 281.06 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 450.09 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 184.89 Mn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 104.90 Mn |
| 10 | LPL Financial Holdings | 24.62 Bn | 19.94 Bn | - | 80.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 566.00 Mn |
| Mar 31, 2026 | 570.00 Mn |
| Dec 31, 2025 | 575.00 Mn |
| Sep 30, 2025 | 574.00 Mn |
| Jun 30, 2025 | 575.00 Mn |
| Mar 31, 2025 | 577.00 Mn |
| Dec 31, 2024 | 576.00 Mn |
| Sep 30, 2024 | 577.00 Mn |
| Jun 30, 2024 | 575.00 Mn |
| Mar 31, 2024 | 575.00 Mn |
| Dec 31, 2023 | 565.00 Mn |
| Sep 30, 2023 | 565.00 Mn |
| Jun 30, 2023 | 561.00 Mn |
| Mar 31, 2023 | 561.00 Mn |
| Dec 31, 2022 | 561.00 Mn |
| Sep 30, 2022 | 560.00 Mn |
| Jun 30, 2022 | 560.00 Mn |
| Mar 31, 2022 | 564.00 Mn |
| Dec 31, 2021 | 565.00 Mn |
| Sep 30, 2021 | 566.00 Mn |
Intercontinental Exchange 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=ICE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ICE", "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=ICE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();