Gamehaus Holdings (GMHS) Operating Expenses (2023 - 2026)
Gamehaus Holdings (GMHS) posted Operating Expenses of -$2.9 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$2.99 million a year earlier.
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Analysis
Gamehaus Holdings (GMHS) Operating Expenses (2023 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Gamehaus Holdings' Operating Expenses came in at -$12.77 million.
- In prior fiscal years, Gamehaus Holdings' Operating Expenses was -$10.4 million in FY2025, -$8.55 million in FY2024, $857,737 in FY2023 and $5,700 in FY2022.
- Quarterly Operating Expenses has run from a low of -$3.54 million in fiscal Q2 2026 to a high of $996,737 in fiscal Q1 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 79.03 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 42.03 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 1.51 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -5.17 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.22 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 12.30 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 4.85 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | -5.39 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 640.46 Mn |
| 10 | Gamehaus Holdings | 34.17 Mn | -5,102.44 Bn | 12.33 Mn | -2.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.90 Mn |
| Dec 31, 2025 | -3.54 Mn |
| Sep 30, 2025 | -2.62 Mn |
| Jun 30, 2025 | -2.99 Mn |
| Mar 31, 2025 | -2.64 Mn |
| Dec 31, 2024 | -2.83 Mn |
| Sep 30, 2024 | 207,994.00 |
| Jun 30, 2024 | -1.88 Mn |
| Sep 30, 2023 | 458,376.00 |
API Access
Gamehaus Holdings Operating Expenses 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=operating-expenses&ticker=GMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();