Marex (MRX) Operating Expenses (2023 - 2026)
Marex (MRX) posted Operating Expenses of -$538.3 million for the quarter ended Jun 30, 2026, compared with -$398.2 million a year earlier.
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Analysis
Marex (MRX) Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Marex was -$1.47 billion; for the year ended Dec 31, 2025, it was -$1.62 billion.
- In prior years, Marex's Operating Expenses was -$1.31 billion in the year ended Dec 31, 2024 and -$1.03 billion in the year ended Dec 31, 2023.
- Quarterly Operating Expenses has run from a low of -$539.2 million in the quarter ended Mar 31, 2026 to a high of $1.5 million in the quarter ended Dec 31, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 105.82 Bn | 93.92 Bn | - | 599.10 Mn |
| 2 | Intercontinental Exchange | 89.41 Bn | 83.14 Bn | - | 1.28 Bn |
| 3 | Robinhood Markets | 86.77 Bn | 67.81 Bn | - | 734.00 Mn |
| 4 | Nasdaq | 52.58 Bn | 50.01 Bn | 1.50 Bn | 788.00 Mn |
| 5 | Interactive Brokers | 36.48 Bn | 13.59 Bn | - | 440.00 Mn |
| 6 | Cboe Global Markets | 32.16 Bn | 23.82 Bn | 731.60 Mn | 255.60 Mn |
| 7 | LPL Financial Holdings | 25.21 Bn | 20.53 Bn | - | 4.67 Bn |
| 8 | Tradeweb Markets | 24.34 Bn | 16.35 Bn | - | 313.68 Mn |
| 9 | Circle Internet | 20.17 Bn | 14.05 Bn | 288.85 Mn | 254.49 Mn |
| 10 | Marex | 4.95 Bn | -7.97 Bn | - | -538.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -538.30 Mn |
| Mar 31, 2026 | -539.20 Mn |
| Dec 31, 2025 | -462.70 Mn |
| Jun 30, 2025 | -398.20 Mn |
| Mar 31, 2025 | -373.40 Mn |
| Dec 31, 2024 | -340.90 Mn |
| Jun 30, 2024 | -200,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 1.20 Mn |
API Access
Marex Operating Expenses 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-expenses&ticker=MRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();