Sharplink (SBET) Other Operating Expenses (2024 - 2026)
Sharplink's Other Operating Expenses was $258,000 in Q2 2026, down 47.1% from $488,000 a year earlier and down 40.3% from the prior quarter.
Sharplink (SBET) Other Operating Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sharplink's Other Operating Expenses was -$344,557 through Jun 30, 2026; for FY2025, it came in at $1.9 million, down 31.0% from FY2024.
- Other Operating Expenses shows a three-year compound annual growth rate of -26.2% (FY2022 to FY2025).
- In earlier years, Other Operating Expenses was $2.76 million in FY2024 (+240.5%), $809,378 in FY2023 (-82.9%) and $4.73 million in FY2022.
- Quarterly Other Operating Expenses has moved between -$114.67 million (Q4 2025) and $113.63 million (Q3 2025) over five years.
- Per Business Quant data, SBET's Other Operating Expenses in the three quarters before Q2 2026 was $432,000 (Q1 2026), -$114.67 million (Q4 2025) and $113.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 472.36 Bn | 441.31 Bn | 1.64 Bn |
| 2 | Oracle | 375.53 Bn | 247.66 Bn | - |
| 3 | Sap Se | 279.86 Bn | 207.64 Bn | 8.40 Bn |
| 4 | Salesforce | 200.72 Bn | 156.60 Bn | 8.70 Bn |
| 5 | ServiceNow | 160.87 Bn | 139.33 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 123.16 Bn | 105.29 Bn | 2.51 Bn |
| 7 | Intuit | 95.39 Bn | 74.74 Bn | 3.44 Bn |
| 8 | Relx | 74.37 Bn | 73.46 Bn | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - |
| 10 | Sharplink | 1.65 Bn | 1.53 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 258,000.00 |
| Mar 31, 2026 | 432,000.00 |
| Dec 31, 2025 | -116.20 Mn |
| Sep 30, 2025 | 114.06 Mn |
| Jun 30, 2025 | 488,000.00 |
| Mar 31, 2025 | 610,000.00 |
| Dec 31, 2024 | 657,079.00 |
| Sep 30, 2024 | 709,045.00 |
Sharplink Other 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=other-operating-expenses&ticker=SBET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SBET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();