Marex (MRX) EBITDA (2023 - 2026)
Marex's EBITDA came in at -$75.4 million for the quarter ended Mar 31, 2026, compared with -$57 million a year earlier.
Marex (MRX) EBITDA (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Marex reported EBITDA of -$401.4 million; for the year ended Dec 31, 2025, it was -$312.5 million.
- Going back by year, EBITDA was -$213.5 million in the year ended Dec 31, 2024, -$251.8 million in the year ended Dec 31, 2023 and -$37.9 million in the year ended Dec 31, 2022.
- The five-year range for quarterly EBITDA is -$127.5 million (the quarter ended Dec 31, 2025) to $169.4 million (the quarter ended Dec 31, 2024).
- Business Quant data shows MRX's EBITDA at -$127.5 million (quarter ended Dec 31, 2025), -$109.9 million (quarter ended Sep 30, 2025) and -$88.6 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 1.19 Bn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 1.78 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 891.00 Mn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 877.00 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 2.65 Bn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 504.10 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 801.19 Mn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 306.75 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 64.26 Mn |
| 10 | Marex | 4.95 Bn | -7.97 Bn | - | -106.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -106.70 Mn |
| Mar 31, 2026 | -78.30 Mn |
| Dec 31, 2025 | 1.40 Bn |
| Sep 30, 2025 | -109.90 Mn |
| Jun 30, 2025 | -87.50 Mn |
| Mar 31, 2025 | -55.30 Mn |
| Dec 31, 2024 | 1.01 Bn |
| Sep 30, 2024 | 73.70 Mn |
| Jun 30, 2024 | 83.80 Mn |
| Mar 31, 2024 | 59.90 Mn |
| Dec 31, 2023 | -67.90 Mn |
Marex 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=MRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MRX", "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=MRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();