Marketaxess Holdings (MKTX) EBITDA (2010 - 2026)
Marketaxess Holdings' EBITDA was $109.19 million in Q2 2026, down 1.7% from $111.06 million a year earlier and down 9.1% from the prior quarter.
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Analysis
Marketaxess Holdings (MKTX) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Marketaxess Holdings' EBITDA was $430.18 million through Jun 30, 2026, up 1.9% year-over-year; for FY2025, it came in at $418.54 million, up 0.9% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 0.4% (FY2020 to FY2025).
- In earlier years, EBITDA was $414.69 million in FY2024 (+7.6%), $385.58 million in FY2023 (-0.7%), $388.32 million in FY2022 (-0.6%) and $390.68 million in FY2021 (-4.9%).
- Quarterly EBITDA has moved between $84.47 million (Q3 2023) and $120.13 million (Q1 2026) over five years.
- Compared with a year earlier, EBITDA was higher in four of the last eight quarters, with growth averaging 5.3%.
- The best year-over-year quarter for EBITDA over five years was Q3 2024 (growth of 25.2%); the worst was Q4 2021 (a decline of 14.8%).
- Per Business Quant data, MKTX's EBITDA in the three quarters before Q2 2026 was $120.13 million (Q1 2026), $95.62 million (Q4 2025) and $105.24 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 891.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 7.16 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 1.19 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.78 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 877.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 3.57 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 2.65 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 2.78 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 504.10 Mn |
| 10 | Marketaxess Holdings | 5.77 Bn | 4.17 Bn | - | 109.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.19 Mn |
| Mar 31, 2026 | 120.13 Mn |
| Dec 31, 2025 | 95.62 Mn |
| Sep 30, 2025 | 105.24 Mn |
| Jun 30, 2025 | 111.06 Mn |
| Mar 31, 2025 | 106.62 Mn |
| Dec 31, 2024 | 98.52 Mn |
| Sep 30, 2024 | 105.78 Mn |
| Jun 30, 2024 | 99.70 Mn |
| Mar 31, 2024 | 110.70 Mn |
| Dec 31, 2023 | 96.56 Mn |
| Sep 30, 2023 | 84.47 Mn |
| Jun 30, 2023 | 92.73 Mn |
| Mar 31, 2023 | 111.82 Mn |
| Dec 31, 2022 | 93.40 Mn |
| Sep 30, 2022 | 91.61 Mn |
| Jun 30, 2022 | 100.03 Mn |
| Mar 31, 2022 | 103.28 Mn |
| Dec 31, 2021 | 87.19 Mn |
| Sep 30, 2021 | 87.97 Mn |
API Access
Marketaxess Holdings EBITDA 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=ebitda&ticker=MKTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MKTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();