Agassi Sports Entertainment (AASP) Interest Expenses (2010 - 2016)
Agassi Sports Entertainment's Interest Expenses came in at -$994.00 for FY2025.
Powered by 
Analysis
Agassi Sports Entertainment (AASP) Interest Expenses (2010 - 2016) Analysis & Trends
Going back to FY2010, Agassi Sports Entertainment's Interest Expenses data covers 6 years.
- The FY2025 figure represents the highest annual Interest Expenses since FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 924,000.00 |
| 10 | Agassi Sports Entertainment | 70.47 Mn | 69.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 414,234.00 |
| Jun 30, 2016 | 68,283.00 |
| Mar 31, 2014 | -133,544.00 |
| Dec 31, 2013 | -132,121.00 |
| Sep 30, 2013 | -131,312.00 |
| Jun 30, 2013 | -131,867.00 |
| Mar 31, 2013 | -134,622.00 |
| Dec 31, 2012 | -134,740.00 |
| Sep 30, 2012 | -135,000.00 |
| Jun 30, 2012 | -135,379.00 |
| Mar 31, 2012 | -135,326.00 |
| Dec 31, 2011 | 862,710.00 |
| Sep 30, 2011 | -123,601.00 |
| Jun 30, 2011 | 122,722.00 |
| Mar 31, 2011 | -123,293.00 |
| Dec 31, 2010 | -124,375.00 |
| Sep 30, 2010 | -157,581.00 |
| Jun 30, 2010 | -123,724.00 |
API Access
Agassi Sports Entertainment 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=interest-expenses&ticker=AASP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "AASP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=AASP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();