Magic Empire Global (MEGL) Receivables - Net (2021 - 2025)
Magic Empire Global (MEGL) posted Receivables - Net of $58,107 for Q4 2025, down 74.8% from $230,792 a year earlier.
Analysis
Magic Empire Global (MEGL) Receivables - Net (2021 - 2025) Analysis & Trends
At the end of FY2025, Magic Empire Global's Receivables - Net came in at $58,064, down 74.9% from FY2024.
- Annual Receivables - Net shows a four-year compound annual growth rate of -45.6% (FY2021 to FY2025).
- In prior years, Magic Empire Global's Receivables - Net was $230,984 in FY2024 (-21.6%), $294,772 in FY2023 (+15.7%), $254,874 in FY2022 (-61.7%) and $665,085 in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Receivables - Net in data going back to Q4 2021.
- On a year-over-year basis, Receivables - Net increased in two of the last four quarters, with growth averaging 17.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn |
| 10 | Magic Empire Global | 5.67 Mn | 5.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 58,107.20 |
| Jun 30, 2025 | 374,907.00 |
| Dec 31, 2024 | 230,791.95 |
| Jun 30, 2024 | 212,082.00 |
| Dec 31, 2023 | 294,666.95 |
| Jun 30, 2023 | 112,497.00 |
| Dec 31, 2022 | 254,193.79 |
| Jun 30, 2022 | 719,806.00 |
| Dec 31, 2021 | 665,085.37 |
API Access
Magic Empire Global Receivables - Net 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-net&ticker=MEGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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-net&ticker=MEGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();