Global Engine Group Holding (GLE) Non-Current Assets (2023 - 2025)
Global Engine Group Holding (GLE) recorded Non-Current Assets of $4.78 million in the quarter ended Dec 31, 2025, up 34.1% from $3.56 million a year earlier.
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Analysis
Global Engine Group Holding (GLE) Non-Current Assets (2023 - 2025) Analysis & Trends
As of Jun 30, 2025, Global Engine Group Holding reported Non-Current Assets of $4.83 million, up 502.5% from the prior year.
- Across earlier years, Non-Current Assets came in at $802,315 in the year ended Jun 30, 2024 (+12.6%) and $712,407 in the year ended Jun 30, 2023.
- Quarterly Non-Current Assets has ranged from $712,136 in the quarter ended Jun 30, 2023 to $4.86 million in the quarter ended Jun 30, 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.03 Bn | 38.53 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 31.75 Bn | 24.91 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Wipro | 21.48 Bn | 16.18 Bn | 738.00 Mn | 6.70 Bn |
| 4 | Cdw | 19.70 Bn | 17.69 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Td Synnex | 19.65 Bn | 13.81 Bn | 1.43 Bn | 8.95 Bn |
| 6 | Cgi | 17.59 Bn | 15.39 Bn | - | -10.59 Mn |
| 7 | Arrow Electronics | 11.05 Bn | 10.00 Bn | 1.13 Bn | 3.39 Bn |
| 8 | Avnet | 7.49 Bn | 6.67 Bn | 865.03 Mn | 2.09 Bn |
| 9 | EPAM Systems | 6.82 Bn | 2.46 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Global Engine Group Holding | 5.72 Mn | -4.35 Mn | - | 4.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.78 Mn |
| Jun 30, 2025 | 4.83 Mn |
| Dec 31, 2024 | 3.56 Mn |
| Jun 30, 2024 | 802,243.09 |
| Jun 30, 2023 | 712,214.54 |
API Access
Global Engine Group Holding 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=GLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "GLE", "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=GLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();