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 | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.95 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 13.27 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 8.92 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 7.57 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 3.39 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 2.09 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 3.00 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 2.36 Bn |
| 10 | Global Engine Group Holding | 7.84 Mn | -2.24 Mn | - | 4.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.78 Mn |
| Jun 30, 2025 | 4.86 Mn |
| Dec 31, 2024 | 3.56 Mn |
| Jun 30, 2024 | 801,359.71 |
| Jun 30, 2023 | 712,135.83 |
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();