Agassi Sports Entertainment (AASP) Accumulated Expenses (2016)
Agassi Sports Entertainment's Accumulated Expenses was -$13.09 million in Q4 2016.
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Analysis
Agassi Sports Entertainment (AASP) Accumulated Expenses (2016) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn |
| 10 | Agassi Sports Entertainment | 71.79 Mn | 70.78 Mn | - |
API Access
Agassi Sports Entertainment Accumulated 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=accumulated-expenses&ticker=AASP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AASP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();