Intercontinental Exchange (ICE) Shares Outstanding (Diluted) (2012 - 2026)
Intercontinental Exchange's Weighted Average Shares Outstanding (Diluted) came in at 566 million for Q3 2026, down 1.4% from 574 million a year earlier and unchanged from the prior quarter.
Intercontinental Exchange (ICE) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Intercontinental Exchange's Weighted Average Shares Outstanding (Diluted) was 575 million, down 0.2% from FY2024.
- Weighted Average Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Weighted Average 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 five-year range for quarterly Weighted Average Shares Outstanding (Diluted) is 560 million (Q2 2022) to 577 million (Q1 2025).
- Year-over-year, Weighted Average Shares Outstanding (Diluted) has declined for five consecutive quarters, with an average decline of 0.3% over the last eight quarters.
- The fastest year-over-year change in Weighted Average Shares Outstanding (Diluted) over five years came in Q2 2024 (growth of 2.5%), and the weakest in Q2 2026 (a decline of 1.6%).
- Business Quant data shows ICE's Weighted Average Shares Outstanding (Diluted) at 566 million (Q2 2026), 570 million (Q1 2026) and 575 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 358.64 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 686.91 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 566.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 911.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 563.31 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 279.29 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 104.70 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 453.92 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 183.17 Mn |
| 10 | Tradeweb Markets | 27.14 Bn | 18.94 Bn | - | 212.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 566.00 Mn |
| 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 |
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();