Mega Fortune (MGRT) Non-Current Assets (2024 - 2026)
Mega Fortune (MGRT) posted Non-Current Assets of $4.92 million for the quarter ended Mar 31, 2026, up 383.9% from $1.02 million a year earlier.
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Analysis
Mega Fortune (MGRT) Non-Current Assets (2024 - 2026) Analysis & Trends
As of Sep 30, 2025, Mega Fortune's Non-Current Assets came in at $6.19 million, up 782.0% from the prior year.
- In prior years, Mega Fortune's Non-Current Assets was $701,390 in the year ended Sep 30, 2024.
- Quarterly Non-Current Assets has run from a low of $701,390 in the quarter ended Sep 30, 2024 to a high of $6.19 million in the quarter ended Sep 30, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 6.60 Bn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 8.95 Bn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | -10.59 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 3.39 Bn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 2.09 Bn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Mega Fortune | 1.19 Bn | 1.19 Bn | - | 4.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.92 Mn |
| Sep 30, 2025 | 6.19 Mn |
| Mar 31, 2025 | 1.02 Mn |
| Sep 30, 2024 | 701,390.00 |
API Access
Mega Fortune Non-Current Assets 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=non-current-assets&ticker=MGRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=MGRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();