Marex (MRX) Price to Earnings (2024 - 2026)
Marex's (MRX) Price to Earnings came in at 10.43 for the quarter ended Jun 30, 2026, down 3.3% from 10.79 a year earlier but up 11.5% from the prior quarter.
Powered by 
Analysis
Marex (MRX) Price to Earnings (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Marex's Price to Earnings stood at 9.52, down 13.4% from the prior year.
- In prior years, Marex's Price to Earnings was 11.00 in the year ended Dec 31, 2024.
- Quarterly Price to Earnings has run from a low of 8.70 in the quarter ended Sep 30, 2025 to a high of 10.79 in the quarter ended Jun 30, 2025 over five years.
- On a year-over-year basis, Price to Earnings has declined in each of the last four quarters, with an average decline of 8.5% over the last four quarters.
- According to Business Quant data, Price to Earnings for the three prior quarters was 9.35 (quarter ended Mar 31, 2026), 9.09 (quarter ended Dec 31, 2025) and 8.70 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn |
| 10 | Marex | 4.95 Bn | -7.97 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.43 |
| Mar 31, 2026 | 9.35 |
| Dec 31, 2025 | 9.09 |
| Sep 30, 2025 | 8.70 |
| Jun 30, 2025 | 10.79 |
| Mar 31, 2025 | 10.47 |
| Dec 31, 2024 | 10.65 |
| Sep 30, 2024 | 9.20 |
API Access
Marex Price to Earnings 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=price-to-earnings&ticker=MRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();