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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 87.00 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 51.61 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 1.50 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 5.19 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 1.21 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 13.32 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 475.85 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 645.39 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 5.48 Bn |
| 10 | Gamehaus Holdings | 33.90 Mn | -5,102.44 Bn | 12.33 Mn | 2.90 Mn |
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 | 3.02 Mn |
| Mar 31, 2025 | 2.64 Mn |
| Dec 31, 2024 | 2.83 Mn |
| Sep 30, 2024 | 207,994.00 |
| Sep 30, 2023 | 458,376.00 |
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_KEY
import 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();