GMEX Robotics (GMEX) Other Non-Current Liabilities (2022 - 2025)
GMEX Robotics (GMEX) posted Other Non-Current Liabilities of $37,127 for the quarter ended Dec 31, 2025, up 64.1% from $22,626 a year earlier.
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Analysis
GMEX Robotics (GMEX) Other Non-Current Liabilities (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics' Other Non-Current Liabilities came in at $32,177, up 49.5% from the prior year.
- Annual Other Non-Current Liabilities has increased for three consecutive years, with a three-year compound annual growth rate of 82.6% (years ended Jun 2022 to Jun 2025).
- In prior years, GMEX Robotics' Other Non-Current Liabilities was $21,520 in the year ended Jun 30, 2024 (+16.8%), $18,430 in the year ended Jun 30, 2023 (+248.9%) and $5,283 in the year ended Jun 30, 2022.
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 | 37,127.00 |
| Jun 30, 2025 | 32,177.00 |
| Dec 31, 2024 | 22,626.00 |
| Jun 30, 2024 | 21,520.00 |
| Dec 31, 2023 | 19,736.00 |
| Jun 30, 2023 | 18,430.00 |
| Jun 30, 2022 | 5,283.00 |
API Access
GMEX Robotics Other 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=other-non-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();