Marketaxess Holdings (MKTX) Operating Margin (2017 - 2026)
Marketaxess Holdings' Operating Margin was 41.15% in Q2 2026, down 0.71 percentage points from 41.86% a year earlier and down 2.09 percentage points from the prior quarter.
Marketaxess Holdings (MKTX) Operating Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marketaxess Holdings' Operating Margin was 40.50% through Jun 30, 2026, down 0.98 percentage points year-over-year; for FY2025, it was 40.39%, down 1.32 percentage points from FY2024.
- Operating Margin has now declined for five consecutive years, with a five-year change of -13.98 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was 41.72% in FY2024 (-0.14 pp), 41.86% in FY2023 (-3.65 pp), 45.51% in FY2022 (-2.74 pp) and 48.25% in FY2021 (-6.13 pp).
- Quarterly Operating Margin has moved between 36.30% (Q4 2025) and 47.35% (Q1 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in four of the last eight quarters, with an average year-over-year change of -0.17 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2024 (a gain of 3.28 percentage points); the worst was Q4 2021 (a drop of 9.54 percentage points).
- Per Business Quant data, MKTX's Operating Margin in the three quarters before Q2 2026 was 43.24% (Q1 2026), 36.30% (Q4 2025) and 40.98% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 38.52% |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 32.99% |
| 10 | Marketaxess Holdings | 5.77 Bn | 4.17 Bn | - | 41.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.15% |
| Mar 31, 2026 | 43.24% |
| Dec 31, 2025 | 36.30% |
| Sep 30, 2025 | 40.98% |
| Jun 30, 2025 | 41.86% |
| Mar 31, 2025 | 42.37% |
| Dec 31, 2024 | 39.51% |
| Sep 30, 2024 | 42.11% |
| Jun 30, 2024 | 41.15% |
| Mar 31, 2024 | 43.98% |
| Dec 31, 2023 | 39.05% |
| Sep 30, 2023 | 38.84% |
| Jun 30, 2023 | 42.11% |
| Mar 31, 2023 | 46.93% |
| Dec 31, 2022 | 43.66% |
| Sep 30, 2022 | 44.34% |
| Jun 30, 2022 | 46.53% |
| Mar 31, 2022 | 47.35% |
| Dec 31, 2021 | 43.97% |
| Sep 30, 2021 | 45.65% |
Marketaxess Holdings Operating Margin 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-margin&ticker=MKTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();