GMEX Robotics (GMEX) Operating Leases (2022 - 2025)
GMEX Robotics (GMEX) reported Operating Leases of $12,182 for the quarter ended Jun 30, 2025, down 96.0% from $301,921 a year earlier.
Analysis
GMEX Robotics (GMEX) Operating Leases (2022 - 2025) Analysis & Trends
Dating back to the quarter ended Jun 30, 2022, GMEX Robotics' Operating Leases record includes 6 quarters.
- Operating Leases has declined for three consecutive years, with a three-year compound annual growth rate of -74.3% (years ended Jun 2022 to Jun 2025).
- By year, Operating Leases came in at $301,921 in the year ended Jun 30, 2024 (-36.2%), $473,015 in the year ended Jun 30, 2023 (-34.0%) and $716,239 in the year ended Jun 30, 2022.
- The figure for the quarter ended Jun 30, 2025 ranks as the lowest quarterly Operating Leases since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | GMEX Robotics | 7,299.72 | -13.49 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 12,182.00 |
| Dec 31, 2024 | 145,562.00 |
| Jun 30, 2024 | 301,921.00 |
| Dec 31, 2023 | -200,038.00 |
| Jun 30, 2023 | 473,015.00 |
| Jun 30, 2022 | 716,239.00 |
API Access
GMEX Robotics Operating Leases 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=operating-leases&ticker=GMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();