Magic Empire Global (MEGL) Operating Expenses (2020 - 2024)
Magic Empire Global (MEGL) posted Operating Expenses of -$3.03 million for FY2025, compared with -$2.96 million in FY2024.
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Analysis
Magic Empire Global (MEGL) Operating Expenses (2020 - 2024) Analysis & Trends
Since FY2020, Magic Empire Global has reported Operating Expenses for 6 years.
- The FY2025 figure stands as the lowest annual Operating Expenses in data going back to FY2020.
- Business Quant data shows MEGL's Operating Expenses at -$2.96 million in FY2024, -$2.13 million in FY2023, -$2.01 million in FY2022 and -$1.94 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Magic Empire Global | 5.67 Mn | 5.67 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -2.96 Mn |
| Dec 31, 2023 | -2.13 Mn |
| Dec 31, 2022 | -2.01 Mn |
| Jun 30, 2021 | 1.02 Mn |
| Dec 31, 2020 | -2.14 Mn |
API Access
Magic Empire Global 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=MEGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MEGL", "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=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();