GMEX Robotics (GMEX) Cash & Equivalents (2022 - 2025)
GMEX Robotics (GMEX) reported Cash & Equivalents of $8.8 million for the quarter ended Dec 31, 2025, compared with $741,855 a year earlier.
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Analysis
GMEX Robotics (GMEX) Cash & Equivalents (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics posted Cash & Equivalents of $2.89 million, up 207.9% from the prior year.
- Cash & Equivalents has a three-year compound annual growth rate of 59.2% (years ended Jun 2022 to Jun 2025).
- By year, Cash & Equivalents came in at $939,014 in the year ended Jun 30, 2024 (+296.5%), $236,821 in the year ended Jun 30, 2023 (-66.9%) and $716,052 in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | GMEX Robotics | 5,519.85 | -13.49 Mn | - | 8.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.80 Mn |
| Jun 30, 2025 | 2.89 Mn |
| Dec 31, 2024 | 741,855.00 |
| Jun 30, 2024 | 939,014.00 |
| Dec 31, 2023 | 4.16 Mn |
| Jun 30, 2023 | 236,821.00 |
| Jun 30, 2022 | 716,052.00 |
API Access
GMEX Robotics 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=GMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "GMEX", "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=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();