Magic Empire Global (MEGL) Other Accumulated Expenses (2021 - 2025)
Magic Empire Global (MEGL) posted Other Accumulated Expenses of $2,282 for Q4 2025, down 23.3% from $2,974 a year earlier.
Powered by 
Analysis
Magic Empire Global (MEGL) Other Accumulated Expenses (2021 - 2025) Analysis & Trends
At the end of FY2025, Magic Empire Global's Other Accumulated Expenses came in at $2,281, down 23.4% from FY2024.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of 63.6% (FY2021 to FY2025).
- In prior years, Magic Empire Global's Other Accumulated Expenses was $2,977 in FY2024 (-87.6%), $23,941 in FY2023, $921.00 in FY2022 (+189.5%) and $318.12 in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Other Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
| 2 | Bank of New York Mellon | 101.69 Bn | 35.78 Bn | - |
| 3 | Intercontinental Exchange | 98.41 Bn | 92.22 Bn | 1.22 Bn |
| 4 | Robinhood Markets | 73.28 Bn | 52.89 Bn | - |
| 5 | Nasdaq | 61.44 Bn | 58.88 Bn | 1.48 Bn |
| 6 | State Street | 46.84 Bn | 43.46 Bn | - |
| 7 | Cboe Global Markets | 38.04 Bn | 28.52 Bn | 712.20 Mn |
| 8 | Interactive Brokers | 35.16 Bn | 18.81 Bn | - |
| 9 | Northern Trust | 32.22 Bn | 32.22 Bn | - |
| 10 | Magic Empire Global | 557,045.50 | -58.86 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2,281.17 |
| Dec 31, 2024 | 2,978.17 |
| Dec 31, 2023 | 23,938.14 |
| Dec 31, 2022 | 922.07 |
| Dec 31, 2021 | 317.79 |
API Access
Magic Empire Global Other Accumulated 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=other-accumulated-expenses&ticker=MEGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();