Sharplink (SBET) Non Operating Interest Expenses (2023 - 2024)
Sharplink (SBET) posted Non Operating Interest Expenses of $482.00 for Q4 2024, down 99.9% from $360,499 a year earlier.
Powered by 
Analysis
Sharplink (SBET) Non Operating Interest Expenses (2023 - 2024) Analysis & Trends
For FY2024, Sharplink's Non Operating Interest Expenses came in at $325,000, down 71.7% from FY2023.
- In prior years, Sharplink's Non Operating Interest Expenses was $1.15 million in FY2023 (+953.8%) and $109,165 in FY2022.
- Quarterly Non Operating Interest Expenses has run from a low of $324.00 in Q2 2024 to a high of $360,499 in Q4 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.48 Bn | 1.64 Bn | - |
| 2 | Oracle | 379.54 Bn | 252.10 Bn | - | 1.43 Bn |
| 3 | Sap Se | 295.84 Bn | 224.19 Bn | 8.40 Bn | -375.44 Mn |
| 4 | Salesforce | 205.95 Bn | 161.82 Bn | 8.70 Bn | 473.00 Mn |
| 5 | ServiceNow | 162.33 Bn | 140.79 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 122.50 Bn | 104.63 Bn | 2.51 Bn | 121.00 Mn |
| 7 | Intuit | 95.25 Bn | 74.60 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 73.89 Bn | 73.01 Bn | - | - |
| 9 | Thomson Reuters | 54.85 Bn | 51.63 Bn | - | -8.00 Mn |
| 10 | Sharplink | 1.71 Bn | 1.59 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 482.00 |
| Jun 30, 2024 | 324.00 |
| Mar 31, 2024 | 324,194.00 |
| Dec 31, 2023 | 360,499.00 |
| Sep 30, 2023 | 318,977.00 |
| Jun 30, 2023 | 246,995.00 |
| Mar 31, 2023 | 223,870.00 |
API Access
Sharplink Non Operating Interest 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=non-operating-interest-expenses&ticker=SBET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=SBET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();