Marketaxess Holdings (MKTX) Operating Income (2017 - 2026)
Marketaxess Holdings (MKTX) recorded Operating Income of $89.88 million in Q2 2026, down 2.2% from $91.86 million a year earlier and down 10.9% from the prior quarter.
Marketaxess Holdings (MKTX) Operating Income (2017 - 2026) Analysis & Trends
On a TTM basis, Marketaxess Holdings' Operating Income came in at $352.39 million as of Jun 30, 2026, up 1.5% year-over-year; for FY2025, it was $341.84 million, up 0.3% from FY2024.
- Annual Operating Income has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $340.87 million in FY2024 (+8.2%), $315.02 million in FY2023 (-3.6%), $326.88 million in FY2022 (-3.1%) and $337.24 million in FY2021 (-10.0%).
- Quarterly Operating Income has ranged from $66.91 million in Q3 2023 to $100.92 million in Q1 2026 over the past five years.
- On a year-over-year basis, Operating Income rose in four of the last eight quarters, with growth averaging 6.0%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 30.1% in Q3 2024, against a decline of 20.8% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $100.92 million (Q1 2026), $76.01 million (Q4 2025) and $85.58 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.48 Bn | 85.58 Bn | - | - |
| 2 | Bank of New York Mellon | 99.71 Bn | 39.09 Bn | - | - |
| 3 | Cme | 94.57 Bn | 94.57 Bn | - | 1.11 Bn |
| 4 | Intercontinental Exchange | 85.38 Bn | 79.19 Bn | - | 1.39 Bn |
| 5 | Nasdaq | 51.62 Bn | 49.05 Bn | 1.50 Bn | 712.00 Mn |
| 6 | State Street | 48.84 Bn | 48.84 Bn | - | - |
| 7 | Interactive Brokers | 38.83 Bn | 32.29 Bn | - | - |
| 8 | Northern Trust | 31.65 Bn | 31.65 Bn | - | - |
| 9 | Cboe Global Markets | 27.38 Bn | 19.03 Bn | 731.60 Mn | 476.00 Mn |
| 10 | Marketaxess Holdings | 5.77 Bn | 4.17 Bn | - | 89.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.88 Mn |
| Mar 31, 2026 | 100.92 Mn |
| Dec 31, 2025 | 76.01 Mn |
| Sep 30, 2025 | 85.58 Mn |
| Jun 30, 2025 | 91.86 Mn |
| Mar 31, 2025 | 88.38 Mn |
| Dec 31, 2024 | 79.98 Mn |
| Sep 30, 2024 | 87.06 Mn |
| Jun 30, 2024 | 81.34 Mn |
| Mar 31, 2024 | 92.50 Mn |
| Dec 31, 2023 | 77.03 Mn |
| Sep 30, 2023 | 66.91 Mn |
| Jun 30, 2023 | 75.73 Mn |
| Mar 31, 2023 | 95.36 Mn |
| Dec 31, 2022 | 77.67 Mn |
| Sep 30, 2022 | 76.31 Mn |
| Jun 30, 2022 | 84.79 Mn |
| Mar 31, 2022 | 88.10 Mn |
| Dec 31, 2021 | 72.58 Mn |
| Sep 30, 2021 | 74.00 Mn |
Marketaxess Holdings Operating Income 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-income&ticker=MKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();