Marketaxess Holdings (MKTX) Operating Expenses (2010 - 2026)
Marketaxess Holdings (MKTX) recorded Operating Expenses of $128.54 million in Q2 2026, up 0.7% from $127.6 million a year earlier but down 3.0% from the prior quarter.
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Analysis
Marketaxess Holdings (MKTX) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Marketaxess Holdings' Operating Expenses came in at $517.64 million as of Jun 30, 2026, up 5.7% year-over-year; for FY2025, it was $504.43 million, up 5.9% from FY2024.
- Annual Operating Expenses has increased for 14 straight years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $476.23 million in FY2024 (+8.8%), $437.53 million in FY2023 (+11.8%), $391.42 million in FY2022 (+8.2%) and $361.72 million in FY2021 (+15.1%).
- Quarterly Operating Expenses has ranged from $88.09 million in Q3 2021 to $133.4 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 58 consecutive quarters, with growth averaging 6.2% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 0.7% (Q2 2026) and 19.9% (Q4 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at $132.46 million (Q1 2026), $133.4 million (Q4 2025) and $123.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Marketaxess Holdings | 5.77 Bn | 4.17 Bn | - | 128.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.54 Mn |
| Mar 31, 2026 | 132.46 Mn |
| Dec 31, 2025 | 133.40 Mn |
| Sep 30, 2025 | 123.24 Mn |
| Jun 30, 2025 | 127.60 Mn |
| Mar 31, 2025 | 120.19 Mn |
| Dec 31, 2024 | 122.43 Mn |
| Sep 30, 2024 | 119.66 Mn |
| Jun 30, 2024 | 116.32 Mn |
| Mar 31, 2024 | 117.82 Mn |
| Dec 31, 2023 | 120.22 Mn |
| Sep 30, 2023 | 105.38 Mn |
| Jun 30, 2023 | 104.12 Mn |
| Mar 31, 2023 | 107.81 Mn |
| Dec 31, 2022 | 100.23 Mn |
| Sep 30, 2022 | 95.80 Mn |
| Jun 30, 2022 | 97.44 Mn |
| Mar 31, 2022 | 97.95 Mn |
| Dec 31, 2021 | 92.48 Mn |
| Sep 30, 2021 | 88.09 Mn |
API Access
Marketaxess Holdings 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=operating-expenses&ticker=MKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();