Regency Centers (REG) Finished Goods (2009)
Regency Centers (REG) recorded Finished Goods of $39.29 million in Q4 2009.
Analysis
Regency Centers (REG) Finished Goods (2009) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 167.95 Bn | 150.46 Bn | 1.39 Bn |
| 2 | Prologis | 123.54 Bn | 127.93 Bn | - |
| 3 | Simon Property | 66.76 Bn | 68.02 Bn | - |
| 4 | Realty Income | 52.37 Bn | 54.76 Bn | - |
| 5 | Public Storage | 50.03 Bn | 49.11 Bn | - |
| 6 | Ventas | 44.65 Bn | 43.84 Bn | - |
| 7 | Extra Space Storage | 27.81 Bn | 27.81 Bn | 642.43 Mn |
| 8 | Vici Properties | 25.53 Bn | 23.65 Bn | 1.05 Bn |
| 9 | Vivmark Residential | 23.01 Bn | 23.20 Bn | - |
| 10 | Regency Centers | 281.45 Mn | 553.69 Mn | - |
API Access
Regency Centers Finished Goods 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=finished-goods&ticker=REG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "REG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=REG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();