Marblegate Capital (MGTE) Operating Expenses (2024 - 2026)
Marblegate Capital (MGTE) reported Operating Expenses of $20.98 million for Q2 2026, up 47.7% from $14.2 million a year earlier.
Marblegate Capital (MGTE) Operating Expenses (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Marblegate Capital's Operating Expenses came in at $63.22 million, up 132.5% year-over-year; for FY2025, it was $47.72 million, up 219.9% from FY2024.
- By year, Operating Expenses came in at $14.92 million in FY2024.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rocket Companies | 41.00 Bn | 29.82 Bn | - | 2.33 Bn |
| 2 | Royalty Pharma | 39.88 Bn | 40.21 Bn | - | 279.27 Mn |
| 3 | Orix | 36.75 Bn | 7.39 Bn | 13.83 Bn | 12.58 Bn |
| 4 | Federal National Mortgage Association Fannie Mae | 25.40 Bn | -16,108.71 Bn | - | 2.12 Bn |
| 5 | Royal Gold | 23.20 Bn | 22.41 Bn | 402.46 Mn | 161.04 Mn |
| 6 | Affirm Holdings | 22.35 Bn | 15.40 Bn | - | 1.08 Bn |
| 7 | Synchrony Financial | 22.29 Bn | -45.34 Bn | - | 1.37 Bn |
| 8 | Annaly Capital Management | 14.69 Bn | 5.72 Bn | - | 53.21 Mn |
| 9 | Ares Capital | 14.04 Bn | 11.79 Bn | - | 429.00 Mn |
| 10 | Marblegate Capital | 51.74 Mn | 104.71 Mn | - | 20.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.98 Mn |
| Mar 31, 2026 | 17.60 Mn |
| Dec 31, 2025 | 14.84 Mn |
| Sep 30, 2025 | 13.20 Mn |
| Jun 30, 2025 | 14.20 Mn |
| Mar 31, 2025 | 5.48 Mn |
| Dec 31, 2024 | 3.92 Mn |
| Sep 30, 2024 | 3.59 Mn |
| Jun 30, 2024 | 3.94 Mn |
| Mar 31, 2024 | 3.47 Mn |
Marblegate Capital 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=MGTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MGTE", "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=MGTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();