Marketaxess Holdings (MKTX) Shares Outstanding (2010 - 2026)
Marketaxess Holdings (MKTX) reported Weighted Average Shares Outstanding of 35.2 million for Q3 2026, down 4.9% from 37.02 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
Marketaxess Holdings (MKTX) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Marketaxess Holdings posted Weighted Average Shares Outstanding of 37.06 million, down 1.4% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 37.6 million in FY2024 (+0.1%), 37.55 million in FY2023 (+0.2%), 37.47 million in FY2022 (-0.1%) and 37.51 million in FY2021 (+0.4%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 35.2 million in Q2 2026 and a high of 37.74 million in Q1 2024.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last seven quarters, with an average decline of 2.6% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q1 2024 (growth of 0.7%); the low point was Q1 2026 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 35.2 million (Q2 2026), 35.3 million (Q1 2026) and 37.06 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - | 358.02 Mn |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - | 679.49 Mn |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - | 564.00 Mn |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - | 898.00 Mn |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn | 558.93 Mn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - | 274.18 Mn |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn | 104.50 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - | 452.27 Mn |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - | 182.04 Mn |
| 10 | Marketaxess Holdings | 5.83 Bn | 4.21 Bn | - | 35.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.20 Mn |
| Mar 31, 2026 | 35.30 Mn |
| Dec 31, 2025 | 37.06 Mn |
| Sep 30, 2025 | 37.02 Mn |
| Jun 30, 2025 | 37.21 Mn |
| Mar 31, 2025 | 37.39 Mn |
| Dec 31, 2024 | 37.60 Mn |
| Sep 30, 2024 | 37.53 Mn |
| Jun 30, 2024 | 37.66 Mn |
| Mar 31, 2024 | 37.74 Mn |
| Dec 31, 2023 | 37.55 Mn |
| Sep 30, 2023 | 37.49 Mn |
| Jun 30, 2023 | 37.49 Mn |
| Mar 31, 2023 | 37.48 Mn |
| Dec 31, 2022 | 37.47 Mn |
| Sep 30, 2022 | 37.48 Mn |
| Jun 30, 2022 | 37.53 Mn |
| Mar 31, 2022 | 37.38 Mn |
| Dec 31, 2021 | 37.51 Mn |
| Sep 30, 2021 | 37.53 Mn |
API Access
Marketaxess Holdings Shares Outstanding 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&ticker=MKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();