Global Engine Group Holding (GLE) Total Liabilities (2023 - 2025)
Global Engine Group Holding (GLE) posted Total Liabilities of $999,886 for the quarter ended Dec 31, 2025, up 73.5% from $576,190 a year earlier.
Global Engine Group Holding (GLE) Total Liabilities (2023 - 2025) Analysis & Trends
As of Jun 30, 2025, Global Engine Group Holding's Total Liabilities came in at $1.34 million, down 42.4% from the prior year.
- In prior years, Global Engine Group Holding's Total Liabilities was $2.32 million in the year ended Jun 30, 2024 (+83.7%) and $1.26 million in the year ended Jun 30, 2023.
- Quarterly Total Liabilities has run from a low of $576,190 in the quarter ended Dec 31, 2024 to a high of $2.32 million in the quarter ended Jun 30, 2024 over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 6.69 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 6.36 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 29.56 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 14.81 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 31.30 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 10.40 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 17.25 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.05 Bn |
| 10 | Global Engine Group Holding | 7.84 Mn | -2.24 Mn | - | 999,886.32 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 999,886.32 |
| Jun 30, 2025 | 1.34 Mn |
| Dec 31, 2024 | 576,189.94 |
| Jun 30, 2024 | 2.32 Mn |
| Jun 30, 2023 | 1.26 Mn |
Global Engine Group Holding Total 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-liabilities&ticker=GLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();