Global Engine Group Holding (GLE) Cash & Equivalents (2023 - 2025)
Global Engine Group Holding's Cash & Equivalents came in at $2.31 million for the quarter ended Dec 31, 2025, down 33.2% from $3.46 million a year earlier.
Global Engine Group Holding (GLE) Cash & Equivalents (2023 - 2025) Analysis & Trends
As of Jun 30, 2025, Global Engine Group Holding's Cash & Equivalents was $3.24 million, up 202.5% from the prior year.
- Cash & Equivalents has increased in each of the last three years, with a three-year compound annual growth rate of 61.4% (years ended Jun 2022 to Jun 2025).
- Going back by year, Cash & Equivalents was $1.07 million in the year ended Jun 30, 2024 (+34.4%), $796,907 in the year ended Jun 30, 2023 (+3.5%) and $770,246 in the year ended Jun 30, 2022.
- The figure for the quarter ended Dec 31, 2025 represents the lowest quarterly Cash & Equivalents since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 2.29 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 1.04 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 749.30 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 361.80 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | 452.29 Mn |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 244.63 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 155.40 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 808.97 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 789.40 Mn |
| 10 | Global Engine Group Holding | 7.04 Mn | -3.04 Mn | - | 2.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.31 Mn |
| Jun 30, 2025 | 3.23 Mn |
| Dec 31, 2024 | 3.46 Mn |
| Jun 30, 2024 | 1.08 Mn |
| Jun 30, 2023 | 796,603.34 |
Global Engine Group Holding Cash & Equivalents 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=cash-and-equivalents&ticker=GLE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();