Magic Empire Global (MEGL) Accumulated Expenses (2021 - 2025)
Magic Empire Global's Accumulated Expenses was $88,597 in Q4 2025, down 0.6% from $89,171 a year earlier.
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Analysis
Magic Empire Global (MEGL) Accumulated Expenses (2021 - 2025) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Magic Empire Global came in at $88,532, down 0.8% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 20.5% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $89,246 in FY2024 (-35.4%), $138,140 in FY2023 (+0.9%), $136,920 in FY2022 (+226.3%) and $41,960 in FY2021.
- Quarterly Accumulated Expenses has moved between $892.00 (Q2 2022) and $138,091 (Q4 2023) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in 1 of the last four quarters, with growth averaging 4.2%.
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 | 88,560.99 |
| Jun 30, 2025 | 4,211.00 |
| Dec 31, 2024 | 89,294.00 |
| Jun 30, 2024 | 33,682.00 |
| Dec 31, 2023 | 138,124.37 |
| Jun 30, 2023 | 14,010.00 |
| Dec 31, 2022 | 137,045.19 |
| Jun 30, 2022 | 892.00 |
| Dec 31, 2021 | 41,916.45 |
API Access
Magic Empire Global 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=accumulated-expenses&ticker=MEGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();