Sharplink (SBET) Return on Sales [ROS] (2023 - 2026)
Sharplink (SBET) posted Return on Sales [ROS] of -3413.02% for Q2 2026, up 11426.72 percentage points from -14839.74% a year earlier and up 2264.36 percentage points from the prior quarter.
Powered by 
Analysis
Sharplink (SBET) Return on Sales [ROS] (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Sharplink was -3401.55%, down 22.41 percentage points year-over-year; for FY2025, it was -2615.99%, down 2485.93 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a three-year change of -2206.74 percentage points (FY2022 to FY2025).
- In prior years, Sharplink's Return on Sales [ROS] was -130.07% in FY2024 (+49.50 pp), -179.56% in FY2023 (+229.69 pp) and -409.26% in FY2022.
- Quarterly Return on Sales [ROS] has run from a low of -14839.74% in Q2 2025 to a high of 967.58% in Q3 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -1497.68 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 11426.72 percentage points; the weakest was Q2 2025, with a drop of 14716.99 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -5677.38% (Q1 2026), -4657.07% (Q4 2025) and 967.58% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.37 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 373.75 Bn | 245.88 Bn | - | 34.78% |
| 3 | Sap Se | 277.47 Bn | 205.25 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 203.26 Bn | 159.13 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 163.61 Bn | 142.07 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 122.45 Bn | 104.58 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 94.72 Bn | 74.07 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 74.34 Bn | 73.43 Bn | - | - |
| 9 | Thomson Reuters | 55.22 Bn | 52.00 Bn | - | 28.56% |
| 10 | Sharplink | 1.60 Bn | 1.49 Bn | - | -3,413.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,413.02% |
| Mar 31, 2026 | -5,677.38% |
| Dec 31, 2025 | -4,657.07% |
| Sep 30, 2025 | 967.58% |
| Jun 30, 2025 | -14,839.74% |
| Mar 31, 2025 | -124.80% |
| Dec 31, 2024 | -130.75% |
| Sep 30, 2024 | -90.44% |
| Jun 30, 2024 | -122.75% |
| Mar 31, 2024 | -172.64% |
| Dec 31, 2023 | -398.98% |
| Sep 30, 2023 | -104.08% |
| Jun 30, 2023 | -129.18% |
| Mar 31, 2023 | -134.27% |
API Access
Sharplink 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=SBET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SBET", "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=SBET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();