GMEX Robotics (GMEX) Total Current Liabilities (2022 - 2025)
GMEX Robotics (GMEX) reported Total Current Liabilities of $3.16 million for the quarter ended Dec 31, 2025, up 34.7% from $2.35 million a year earlier.
GMEX Robotics (GMEX) Total Current Liabilities (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics posted Total Current Liabilities of $2.16 million, up 0.7% from the prior year.
- Total Current Liabilities has a three-year compound annual growth rate of -1.7% (years ended Jun 2022 to Jun 2025).
- By year, Total Current Liabilities came in at $2.15 million in the year ended Jun 30, 2024 (+0.8%), $2.13 million in the year ended Jun 30, 2023 (-6.3%) and $2.27 million in the year ended Jun 30, 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 241.27 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 34.99 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 13.36 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 21.13 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 4.89 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 21.18 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 9.57 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 2.04 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 10.04 Bn |
| 10 | GMEX Robotics | 7,299.72 | -13.49 Mn | - | 3.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.16 Mn |
| Jun 30, 2025 | 2.16 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Jun 30, 2024 | 2.15 Mn |
| Dec 31, 2023 | 2.06 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Jun 30, 2022 | 2.27 Mn |
GMEX Robotics Total Current Liabilities 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=total-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();