Magic Empire Global (MEGL) Selling, General & Administrative (2020 - 2024)
Magic Empire Global's Selling, General & Administrative was -$3.03 million in FY2025, compared with -$2.96 million in FY2024.
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Analysis
Magic Empire Global (MEGL) Selling, General & Administrative (2020 - 2024) Analysis & Trends
From FY2020 onward, Magic Empire Global has reported Selling, General & Administrative for 6 years.
- The FY2025 figure marks the lowest annual Selling, General & Administrative in data going back to FY2020.
- Per Business Quant data, Selling, General & Administrative in earlier years was -$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) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | - |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | - |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | - |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | - |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | - |
| 10 | Magic Empire Global | 4.66 Mn | 4.66 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 Selling, General & Administrative 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=selling-general-and-administrative&ticker=MEGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();