Mega Fortune (MGRT) Goodwill & Intangibles (2026)
Mega Fortune's Goodwill & Intangibles came in at $598,291 for the quarter ended Mar 31, 2026.
Analysis
Mega Fortune (MGRT) Goodwill & Intangibles (2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 53.66 Bn | 40.21 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 33.32 Bn | 26.49 Bn | 1.83 Bn |
| 3 | Wipro | 22.86 Bn | 18.03 Bn | 745.00 Mn |
| 4 | Cdw | 20.63 Bn | 18.61 Bn | 1.32 Bn |
| 5 | Td Synnex | 19.71 Bn | 13.87 Bn | 1.43 Bn |
| 6 | Cgi | 18.28 Bn | 16.08 Bn | - |
| 7 | Arrow Electronics | 10.66 Bn | 9.69 Bn | 1.13 Bn |
| 8 | Avnet | 7.27 Bn | 6.46 Bn | 865.03 Mn |
| 9 | EPAM Systems | 7.15 Bn | 2.79 Bn | 429.57 Mn |
| 10 | Mega Fortune | 1.53 Bn | 1.52 Bn | - |
API Access
Mega Fortune Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MGRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "MGRT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=MGRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();