Agassi Sports Entertainment (AASP) Price to FCF (2014 - 2015)
Agassi Sports Entertainment's Price to FCF came in at 9.30 for Q1 2015, down 75.9% from the prior quarter.
Analysis
Agassi Sports Entertainment (AASP) Price to FCF (2014 - 2015) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn |
| 10 | Agassi Sports Entertainment | 70.47 Mn | 69.47 Mn | - |
API Access
Agassi Sports Entertainment Price to FCF 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=price-to-fcf&ticker=AASP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-fcf", "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=price-to-fcf&ticker=AASP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();