Gamehaus Holdings (GMHS) Gross Margin (2024 - 2026)
Gamehaus Holdings (GMHS) recorded Gross Margin of 50.67% in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.02 percentage points from 52.70% a year earlier.
Gamehaus Holdings (GMHS) Gross Margin (2024 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Gamehaus Holdings reported Gross Margin of 52.72%, up 0.04 percentage points from FY2025.
- Annual Gross Margin has a three-year change of -4.84 percentage points (FY2023 to FY2026).
- Across earlier fiscal years, Gross Margin came in at 52.68% in FY2025 (+1.33 pp), 51.35% in FY2024 (-6.21 pp) and 57.55% in FY2023.
- The fiscal Q4 2026 figure is the lowest quarterly Gross Margin in data going back to fiscal Q4 2024.
- On a year-over-year basis, Gross Margin rose in two of the last four quarters, with an average year-over-year change of -0.11 percentage points.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 59.70% |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 79.31% |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 52.78% |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 38.24% |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 47.59% |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 43.46% |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 88.98% |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 32.98% |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | - |
| 10 | Gamehaus Holdings | 33.90 Mn | -5,102.44 Bn | 12.33 Mn | 50.67% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.67% |
| Dec 31, 2025 | 53.77% |
| Sep 30, 2025 | 52.12% |
| Jun 30, 2025 | 52.70% |
| Mar 31, 2025 | 52.28% |
| Dec 31, 2024 | 52.51% |
| Sep 30, 2024 | 53.21% |
Gamehaus Holdings Gross Margin 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=gross-margin&ticker=GMHS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=GMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();