Vici Properties (VICI) Receivables - Net (2016 - 2017)
Vici Properties (VICI) recorded Receivables - Net of $77,000 in FY2016.
Analysis
Vici Properties (VICI) Receivables - Net (2016 - 2017) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 164.67 Bn | 146.16 Bn | 1.39 Bn |
| 2 | Prologis | 123.63 Bn | 118.68 Bn | - |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - |
| 4 | Realty Income | 51.46 Bn | 49.68 Bn | - |
| 5 | Public Storage | 50.61 Bn | 49.60 Bn | - |
| 6 | Ventas | 41.19 Bn | 39.87 Bn | - |
| 7 | Extra Space Storage | 28.16 Bn | 28.16 Bn | 642.43 Mn |
| 8 | Vici Properties | 24.94 Bn | 23.05 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - |
| 10 | Essex Property Trust | 17.33 Bn | 17.09 Bn | - |
API Access
Vici Properties Receivables - Net 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=receivables-net&ticker=VICI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "ticker": "VICI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=receivables-net&ticker=VICI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();