Marketaxess Holdings (MKTX) Selling, General & Administrative (2010 - 2026)
Marketaxess Holdings (MKTX) reported Selling, General & Administrative of $5.78 million for Q2 2026, up 7.0% from $5.4 million a year earlier and up 0.8% from the prior quarter.
Marketaxess Holdings (MKTX) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marketaxess Holdings' Selling, General & Administrative came in at $26.99 million, up 11.5% year-over-year; for FY2025, it came in at $26.59 million, up 17.1% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $22.71 million in FY2024 (-1.4%), $23.04 million in FY2023 (+20.0%), $19.2 million in FY2022 (+32.4%) and $14.5 million in FY2021 (+14.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $3.38 million in Q3 2021 and a high of $9.37 million in Q4 2025.
- Year over year, Selling, General & Administrative has now increased in each of the last six quarters, with growth averaging 10.5% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2023 (growth of 66.5%); the low point was Q1 2024 (a decline of 17.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $5.74 million (Q1 2026), $9.37 million (Q4 2025) and $6.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | - |
| 10 | Marketaxess Holdings | 5.78 Bn | 4.17 Bn | - | 5.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.78 Mn |
| Mar 31, 2026 | 5.74 Mn |
| Dec 31, 2025 | 9.37 Mn |
| Sep 30, 2025 | 6.10 Mn |
| Jun 30, 2025 | 5.40 Mn |
| Mar 31, 2025 | 5.72 Mn |
| Dec 31, 2024 | 7.24 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Jun 30, 2024 | 4.89 Mn |
| Mar 31, 2024 | 4.74 Mn |
| Dec 31, 2023 | 7.34 Mn |
| Sep 30, 2023 | 5.15 Mn |
| Jun 30, 2023 | 4.78 Mn |
| Mar 31, 2023 | 5.76 Mn |
| Dec 31, 2022 | 6.72 Mn |
| Sep 30, 2022 | 4.58 Mn |
| Jun 30, 2022 | 4.44 Mn |
| Mar 31, 2022 | 3.46 Mn |
| Dec 31, 2021 | 4.61 Mn |
| Sep 30, 2021 | 3.38 Mn |
Marketaxess Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=MKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();