Gamehaus Holdings (GMHS) Return on Sales [ROS] (2024 - 2026)
Gamehaus Holdings (GMHS) reported Return on Sales [ROS] of -3.10% for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 7.68 percentage points from 4.57% a year earlier.
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Analysis
Gamehaus Holdings (GMHS) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Gamehaus Holdings posted Return on Sales [ROS] of 1.31%, down 1.56 percentage points from FY2025.
- Return on Sales [ROS] has a three-year change of -0.56 percentage points (FY2023 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 2.87% in FY2025 (-2.88 pp), 5.75% in FY2024 (+3.87 pp) and 1.87% in FY2023.
- The fiscal Q4 2026 figure ranks as the lowest quarterly Return on Sales [ROS] in data going back to fiscal Q4 2024.
- Year over year, Return on Sales [ROS] gained in 1 of the last four quarters, with an average year-over-year change of -2.28 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 38.43% |
| 10 | Gamehaus Holdings | 33.90 Mn | -5,102.44 Bn | 12.33 Mn | -3.10% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.10% |
| Dec 31, 2025 | 3.31% |
| Sep 30, 2025 | 3.61% |
| Jun 30, 2025 | 4.49% |
| Mar 31, 2025 | 1.01% |
| Dec 31, 2024 | 0.80% |
| Sep 30, 2024 | -0.69% |
API Access
Gamehaus Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GMHS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GMHS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();