Marex (MRX) Debt Ratio (2022 - 2026)
Marex's Debt Ratio came in at 0.00 for the quarter ended Mar 31, 2026, down 61.9% from 0.01 a year earlier and down 26.4% from the prior quarter.
Analysis
Marex (MRX) Debt Ratio (2022 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Marex's Debt Ratio was 0.01, down 53.9% from the prior year.
- Going back by year, Debt Ratio was 0.01 in the year ended Dec 31, 2024 and 0.01 in the year ended Dec 31, 2022.
- The five-year range for quarterly Debt Ratio is 0.00 (the quarter ended Sep 30, 2025) to 0.01 (the quarter ended Dec 31, 2024).
- Business Quant data shows MRX's Debt Ratio at 0.01 (quarter ended Dec 31, 2025), 0.00 (quarter ended Sep 30, 2025) and 0.00 (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 107.24 Bn | 95.34 Bn | - | 0.02 |
| 2 | Intercontinental Exchange | 89.11 Bn | 82.85 Bn | - | 0.11 |
| 3 | Robinhood Markets | 88.82 Bn | 69.85 Bn | - | - |
| 4 | Nasdaq | 53.35 Bn | 50.77 Bn | 1.50 Bn | 0.32 |
| 5 | Interactive Brokers | 37.00 Bn | 14.11 Bn | - | 0.00 |
| 6 | Cboe Global Markets | 32.85 Bn | 24.51 Bn | 731.60 Mn | 0.14 |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - | 0.38 |
| 8 | Tradeweb Markets | 25.06 Bn | 17.08 Bn | - | - |
| 9 | Circle Internet | 20.98 Bn | 14.86 Bn | 288.85 Mn | - |
| 10 | Marex | 5.06 Bn | -7.87 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.00 |
| Dec 31, 2025 | 0.01 |
| Sep 30, 2025 | 0.00 |
| Jun 30, 2025 | 0.00 |
| Mar 31, 2025 | 0.01 |
| Dec 31, 2024 | 0.01 |
| Dec 31, 2022 | 0.01 |
API Access
Marex Debt Ratio 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=debt-ratio&ticker=MRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=MRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();