Re (RMAX) Sales of Property, Plant and Equipment (2013 - 2016)
Re (RMAX) posted Sales of Property, Plant and Equipment of $38,000 for Q4 2016, up 375.0% from $8,000 a year earlier.
Analysis
Re (RMAX) Sales of Property, Plant and Equipment (2013 - 2016) Analysis & Trends
For FY2016, Re's Sales of Property, Plant and Equipment came in at $50,000, up 100.0% from FY2015.
- Annual Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of -2.6% (FY2011 to FY2016).
- In prior years, Re's Sales of Property, Plant and Equipment was $25,000 in FY2015 (+400.0%), $5,000 in FY2014 (-72.2%), $18,000 in FY2013 (-43.8%) and $32,000 in FY2012 (-43.9%).
- The Q4 2016 figure stands as the highest quarterly Sales of Property, Plant and Equipment in data going back to Q3 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Cbre | 37.56 Bn | 31.32 Bn | 2.09 Bn | 31.00 Mn |
| 2 | KE Holdings | 36.95 Bn | 17.65 Bn | 1.03 Bn | - |
| 3 | Jones Lang Lasalle | 14.12 Bn | 12.33 Bn | - | 5.50 Mn |
| 4 | Compass | 6.95 Bn | 5.41 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.80 Bn | 278.27 Mn | 512.00 Mn | - |
| 7 | Newmark | 2.01 Bn | 1.39 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 178.91 Mn | - | - |
| 9 | Agnt | 609.98 Mn | 139.66 Mn | 98.80 Mn | - |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 38,000.00 |
| Dec 31, 2015 | 8,000.00 |
| Sep 30, 2015 | 6,000.00 |
| Jun 30, 2015 | 1,000.00 |
| Mar 31, 2015 | 10,000.00 |
| Dec 31, 2014 | 3,000.00 |
| Sep 30, 2014 | 1,000.00 |
| Dec 31, 2013 | 10,000.00 |
| Sep 30, 2013 | 5,000.00 |
API Access
Re Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();