Marketaxess Holdings (MKTX) Shares Outstanding (Diluted) (2010 - 2026)
Marketaxess Holdings' Weighted Average Shares Outstanding (Diluted) was 35.24 million in Q3 2026, down 5.0% from 37.11 million a year earlier and unchanged from the prior quarter.
Marketaxess Holdings (MKTX) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Weighted Average Shares Outstanding (Diluted) at Marketaxess Holdings came in at 37.14 million, down 1.4% from FY2024.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 37.67 million in FY2024 (unchanged), 37.65 million in FY2023 (unchanged), 37.64 million in FY2022 (-1.2%) and 38.1 million in FY2021 (-0.1%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has moved between 35.24 million (Q2 2026) and 38.1 million (Q4 2021) over five years.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has declined for seven straight quarters, with an average decline of 2.6% over the last eight quarters.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was Q1 2024 (growth of 0.4%); the worst was Q1 2026 (a decline of 5.5%).
- Per Business Quant data, MKTX's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 35.24 million (Q2 2026), 35.39 million (Q1 2026) and 37.14 million (Q4 2025).
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 | Marketaxess Holdings | 5.83 Bn | 4.21 Bn | - | 35.24 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.24 Mn |
| Mar 31, 2026 | 35.39 Mn |
| Dec 31, 2025 | 37.14 Mn |
| Sep 30, 2025 | 37.11 Mn |
| Jun 30, 2025 | 37.30 Mn |
| Mar 31, 2025 | 37.46 Mn |
| Dec 31, 2024 | 37.67 Mn |
| Sep 30, 2024 | 37.61 Mn |
| Jun 30, 2024 | 37.69 Mn |
| Mar 31, 2024 | 37.79 Mn |
| Dec 31, 2023 | 37.65 Mn |
| Sep 30, 2023 | 37.57 Mn |
| Jun 30, 2023 | 37.59 Mn |
| Mar 31, 2023 | 37.65 Mn |
| Dec 31, 2022 | 37.64 Mn |
| Sep 30, 2022 | 37.57 Mn |
| Jun 30, 2022 | 37.61 Mn |
| Mar 31, 2022 | 37.82 Mn |
| Dec 31, 2021 | 38.10 Mn |
| Sep 30, 2021 | 38.08 Mn |
Marketaxess Holdings 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=MKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MKTX", "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=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();