GMEX Robotics (GMEX) Prepaid Assets (2022 - 2025)
GMEX Robotics (GMEX) posted Prepaid Assets of $300,000 for the quarter ended Dec 31, 2025, down 66.7% from $900,000 a year earlier.
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Analysis
GMEX Robotics (GMEX) Prepaid Assets (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics' Prepaid Assets came in at $600,000, down 50.0% from the prior year.
- Annual Prepaid Assets shows a three-year compound annual growth rate of 39.0% (years ended Jun 2022 to Jun 2025).
- In prior years, GMEX Robotics' Prepaid Assets was $1.2 million in the year ended Jun 30, 2024 (-77.4%), $5.32 million in the year ended Jun 30, 2023 and $223,229 in the year ended Jun 30, 2022.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Prepaid Assets since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | GMEX Robotics | 6,218.28 | -13.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 300,000.00 |
| Jun 30, 2025 | 600,000.00 |
| Dec 31, 2024 | 900,000.00 |
| Jun 30, 2024 | 1.20 Mn |
| Dec 31, 2023 | -2.55 Mn |
| Jun 30, 2023 | 5.32 Mn |
| Jun 30, 2022 | 223,229.00 |
API Access
GMEX Robotics Prepaid 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=prepaid-assets&ticker=GMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();