GMEX Robotics (GMEX) Non-Current Assets (2022 - 2025)
GMEX Robotics (GMEX) posted Non-Current Assets of $52.34 million for the quarter ended Dec 31, 2025, compared with $4.42 million a year earlier.
GMEX Robotics (GMEX) Non-Current Assets (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics' Non-Current Assets came in at $1.81 million, down 25.5% from the prior year.
- Annual Non-Current Assets shows a three-year compound annual growth rate of -10.3% (years ended Jun 2022 to Jun 2025).
- In prior years, GMEX Robotics' Non-Current Assets was $2.43 million in the year ended Jun 30, 2024 (+6.6%), $2.28 million in the year ended Jun 30, 2023 (-9.0%) and $2.5 million in the year ended Jun 30, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 846.43 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 71.66 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 21.79 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 32.54 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 8.11 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 10.19 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 40.31 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 11.98 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 6.55 Bn |
| 10 | GMEX Robotics | 2,041.44 | -13.68 Mn | - | 52.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 52.34 Mn |
| Jun 30, 2025 | 1.81 Mn |
| Dec 31, 2024 | 4.42 Mn |
| Jun 30, 2024 | 2.43 Mn |
| Dec 31, 2023 | 2.53 Mn |
| Jun 30, 2023 | 2.28 Mn |
| Jun 30, 2022 | 2.50 Mn |
GMEX Robotics Non-Current 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=non-current-assets&ticker=GMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();