GMEX Robotics (GMEX) Receivables (2022 - 2025)
GMEX Robotics (GMEX) reported Receivables of $338,023 for the quarter ended Dec 31, 2025, up 108.2% from $162,379 a year earlier.
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Analysis
GMEX Robotics (GMEX) Receivables (2022 - 2025) Analysis & Trends
As of Jun 30, 2025, GMEX Robotics posted Receivables of $242,079, up 303.2% from the prior year.
- Receivables has a three-year compound annual growth rate of 80.7% (years ended Jun 2022 to Jun 2025).
- By year, Receivables came in at $60,042 in the year ended Jun 30, 2024 (-65.6%), $174,341 in the year ended Jun 30, 2023 (+324.8%) and $41,041 in the year ended Jun 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 88.09 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 6.96 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 665.00 Mn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 1.24 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 248.14 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 628.51 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 377.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 764.92 Mn |
| 10 | GMEX Robotics | 7,299.72 | -13.49 Mn | - | 338,023.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 338,023.00 |
| Jun 30, 2025 | 242,079.00 |
| Dec 31, 2024 | 162,379.00 |
| Jun 30, 2024 | 60,042.00 |
| Dec 31, 2023 | -59,444.00 |
| Jun 30, 2023 | 174,341.00 |
| Jun 30, 2022 | 41,041.00 |
API Access
GMEX Robotics Receivables 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=receivables&ticker=GMEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GMEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();