GMEX Robotics (GMEX) Total Non-Current Liabilities (2022 - 2025)
GMEX Robotics (GMEX) reported Total Non-Current Liabilities of $54.19 million for the quarter ended Dec 31, 2025, compared with $2.49 million a year earlier.
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Analysis
GMEX Robotics (GMEX) Total Non-Current Liabilities (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics posted Total Non-Current Liabilities of $2.17 million, down 11.2% from the prior year.
- Total Non-Current Liabilities has declined for three consecutive years, with a three-year compound annual growth rate of -10.1% (years ended Jun 2022 to Jun 2025).
- By year, Total Non-Current Liabilities came in at $2.45 million in the year ended Jun 30, 2024 (-5.9%), $2.6 million in the year ended Jun 30, 2023 (-12.9%) and $2.99 million in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 8.94 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 22.21 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 18.95 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 7.19 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 22.81 Bn |
| 10 | GMEX Robotics | 7,142.01 | -13.49 Mn | - | 54.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 54.19 Mn |
| Jun 30, 2025 | 2.17 Mn |
| Dec 31, 2024 | 2.49 Mn |
| Jun 30, 2024 | 2.45 Mn |
| Dec 31, 2023 | 2.48 Mn |
| Jun 30, 2023 | 2.60 Mn |
| Jun 30, 2022 | 2.99 Mn |
API Access
GMEX Robotics Total Non-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-non-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();