Gamehaus Holdings (GMHS) Prepaid Assets (2023 - 2026)
Gamehaus Holdings' Prepaid Assets came in at $4.29 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 37.0% from $3.13 million a year earlier.
Analysis
Gamehaus Holdings (GMHS) Prepaid Assets (2023 - 2026) Analysis & Trends
Going back to fiscal Q4 2023, Gamehaus Holdings' Prepaid Assets data covers 8 quarters.
- Prepaid Assets carries a three-year compound annual growth rate of 350.6% (FY2023 to FY2026).
- Going back by fiscal year, Prepaid Assets was $3.13 million in FY2025 (+53.3%), $2.04 million in FY2024 and $46,875 in FY2023.
- The five-year range for quarterly Prepaid Assets is $129,500 (fiscal Q1 2025) to $4.37 million (fiscal Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | Gamehaus Holdings | 34.17 Mn | -5,102.44 Bn | 12.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.29 Mn |
| Dec 31, 2025 | 3.60 Mn |
| Sep 30, 2025 | 4.37 Mn |
| Jun 30, 2025 | 3.13 Mn |
| Mar 31, 2025 | 2.70 Mn |
| Sep 30, 2024 | 129,500.00 |
| Jun 30, 2024 | 2.04 Mn |
| Dec 31, 2023 | 46,875.00 |
| Jun 30, 2023 | 2.73 Mn |
API Access
Gamehaus Holdings Prepaid Assets 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=prepaid-assets&ticker=GMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "GMHS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=GMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();