Marketaxess Holdings (MKTX) Other Operating Expenses (2010 - 2026)
Marketaxess Holdings' Other Operating Expenses was $39.4 million in Q2 2026, up 4.7% from $37.62 million a year earlier and up 14.5% from the prior quarter.
Marketaxess Holdings (MKTX) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marketaxess Holdings' Other Operating Expenses was $153.21 million through Jun 30, 2026, up 5.7% year-over-year; for FY2025, it was $151.12 million, up 6.3% from FY2024.
- Other Operating Expenses has now increased for 11 consecutive years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $142.21 million in FY2024 (+5.3%), $135.02 million in FY2023 (+5.5%), $127.97 million in FY2022 (+4.2%) and $122.85 million in FY2021 (+14.1%).
- Quarterly Other Operating Expenses has moved between $29.87 million (Q3 2021) and $42.05 million (Q4 2025) over five years.
- Compared with a year earlier, Other Operating Expenses has increased for 43 straight quarters, with growth averaging 5.7% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 0.3% (Q2 2022) and 14.4% (Q3 2021) over the last five years.
- Per Business Quant data, MKTX's Other Operating Expenses in the three quarters before Q2 2026 was $34.43 million (Q1 2026), $42.05 million (Q4 2025) and $37.33 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 109.59 Bn | 97.93 Bn | - |
| 2 | Bank of New York Mellon | 100.46 Bn | 34.08 Bn | - |
| 3 | Intercontinental Exchange | 97.18 Bn | 90.07 Bn | - |
| 4 | Robinhood Markets | 72.63 Bn | 52.17 Bn | - |
| 5 | Nasdaq | 59.89 Bn | 57.32 Bn | 1.48 Bn |
| 6 | State Street | 45.42 Bn | 45.42 Bn | - |
| 7 | Cboe Global Markets | 36.91 Bn | 27.39 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 34.30 Bn | 10.61 Bn | - |
| 9 | Northern Trust | 31.46 Bn | 31.46 Bn | - |
| 10 | Marketaxess Holdings | 5.83 Bn | 4.21 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 118.77 Mn |
| Mar 31, 2026 | 122.90 Mn |
| Dec 31, 2025 | 120.22 Mn |
| Sep 30, 2025 | 113.28 Mn |
| Jun 30, 2025 | 118.44 Mn |
| Mar 31, 2025 | 110.86 Mn |
| Dec 31, 2024 | 111.47 Mn |
| Sep 30, 2024 | 109.99 Mn |
| Jun 30, 2024 | 107.72 Mn |
| Mar 31, 2024 | 109.65 Mn |
| Dec 31, 2023 | 108.97 Mn |
| Sep 30, 2023 | 96.72 Mn |
| Jun 30, 2023 | 96.14 Mn |
| Mar 31, 2023 | 98.44 Mn |
| Dec 31, 2022 | 89.86 Mn |
| Sep 30, 2022 | 87.84 Mn |
| Jun 30, 2022 | 89.30 Mn |
| Mar 31, 2022 | 91.11 Mn |
| Dec 31, 2021 | 84.43 Mn |
| Sep 30, 2021 | 81.44 Mn |
Marketaxess Holdings Other Operating Expenses 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=other-operating-expenses&ticker=MKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();