Re (RMAX) Dividends payables (2014)
Re (RMAX) reported Dividends payables of $1.83 million for Q1 2014.
Analysis
Re (RMAX) Dividends payables (2014) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.92 Bn | 31.69 Bn | 2.09 Bn | - |
| 2 | KE Holdings | 37.35 Bn | 18.06 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.31 Bn | 12.53 Bn | - | - |
| 4 | Compass | 6.79 Bn | 5.25 Bn | - | - |
| 5 | Colliers International | 4.60 Bn | 3.67 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.75 Bn | 233.71 Mn | 512.00 Mn | - |
| 7 | Newmark | 1.99 Bn | 1.36 Bn | - | - |
| 8 | Marcus & Millichap | 1.10 Bn | 195.57 Mn | - | - |
| 9 | Agnt | 593.27 Mn | 122.95 Mn | 98.80 Mn | - |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | - |
API Access
Re Dividends payables 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=dividends-payables&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "ticker": "RMAX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-payables&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();