Global Engine Group Holding (GLE) Total Non-Current Liabilities (2023 - 2025)
Global Engine Group Holding (GLE) reported Total Non-Current Liabilities of $1,283 for the quarter ended Dec 31, 2025, down 10.2% from $1,428 a year earlier.
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Analysis
Global Engine Group Holding (GLE) Total Non-Current Liabilities (2023 - 2025) Analysis & Trends
As of Jun 30, 2025, Global Engine Group Holding posted Total Non-Current Liabilities of $1,413, down 99.9% from the prior year.
- By year, Total Non-Current Liabilities came in at $2.32 million in the year ended Jun 30, 2024 (+84.2%) and $1.26 million in the year ended Jun 30, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 1.10 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 5.59 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 29.07 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 6.52 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 8.68 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 30.80 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 10.19 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 17.06 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 991.88 Mn |
| 10 | Global Engine Group Holding | 7.84 Mn | -2.24 Mn | - | 1,283.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1,283.00 |
| Jun 30, 2025 | 1,421.77 |
| Dec 31, 2024 | 1,428.00 |
| Jun 30, 2024 | 2.32 Mn |
| Jun 30, 2023 | 1.26 Mn |
API Access
Global Engine Group Holding Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=GLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=GLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();