Magic Empire Global (MEGL) Receivables (2021 - 2025)
Magic Empire Global's Receivables came in at $58,107 for Q4 2025, down 74.8% from $230,792 a year earlier.
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Analysis
Magic Empire Global (MEGL) Receivables (2021 - 2025) Analysis & Trends
Going back to Q4 2021, Magic Empire Global's Receivables data covers 9 quarters.
- Receivables carries a four-year compound annual growth rate of -45.6% (FY2021 to FY2025).
- Going back by year, Receivables was $230,792 in FY2024 (-24.8%), $307,043 in FY2023 (+15.2%), $266,556 in FY2022 (-59.9%) and $665,085 in FY2021.
- The Q4 2025 figure represents the lowest quarterly Receivables in data going back to Q4 2021.
- Year-over-year, Receivables increased in two of the last four quarters, with growth averaging 16.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 22.80 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 5.38 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 753.10 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.87 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 1.18 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 696.00 Mn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 114.65 Bn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 570.60 Mn |
| 10 | Magic Empire Global | 5.67 Mn | 5.67 Mn | - | 58,107.20 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 58,107.20 |
| Jun 30, 2025 | 377,128.11 |
| Dec 31, 2024 | 230,791.95 |
| Jun 30, 2024 | 211,829.50 |
| Dec 31, 2023 | 307,042.67 |
| Jun 30, 2023 | 112,448.92 |
| Dec 31, 2022 | 266,555.74 |
| Jun 30, 2022 | 719,977.67 |
| Dec 31, 2021 | 665,085.37 |
API Access
Magic Empire Global Receivables 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=receivables&ticker=MEGL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();