Re (RMAX) Non Operating Income (2012 - 2016)
Re's Non Operating Income came in at -$2.2 million for Q3 2016, compared with -$2.14 million a year earlier.
Re (RMAX) Non Operating Income (2012 - 2016) Analysis & Trends
Over the trailing twelve months to Sep 30, 2016, Re reported Non Operating Income of -$9.19 million; for FY2015, it came in at -$10.78 million.
- Going back by year, Non Operating Income was -$9.91 million in FY2014, -$15.98 million in FY2013, -$10.08 million in FY2012 and -$12.05 million in FY2011.
- The five-year range for quarterly Non Operating Income is -$6.16 million (Q3 2013) to -$1.37 million (Q2 2014).
- Business Quant data shows RMAX's Non Operating Income at -$2.04 million (Q2 2016), -$2.2 million (Q1 2016) and -$2.75 million (Q4 2015) in the three quarters before Q3 2016.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | - |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | - |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | - |
| 4 | Compass | 6.70 Bn | 5.16 Bn | - | - |
| 5 | Colliers International | 4.59 Bn | 3.66 Bn | 635.11 Mn | - |
| 6 | Cushman & Wakefield | 2.77 Bn | 247.78 Mn | 512.00 Mn | -10.60 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 4.19 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | 665,000.00 |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | -2.20 Mn |
| Jun 30, 2016 | -2.04 Mn |
| Mar 31, 2016 | -2.20 Mn |
| Dec 31, 2015 | -2.75 Mn |
| Sep 30, 2015 | -2.14 Mn |
| Jun 30, 2015 | -1.84 Mn |
| Mar 31, 2015 | -4.05 Mn |
| Dec 31, 2014 | -2.82 Mn |
| Sep 30, 2014 | -2.74 Mn |
| Jun 30, 2014 | -1.37 Mn |
| Mar 31, 2014 | -2.97 Mn |
| Dec 31, 2013 | -2.96 Mn |
| Sep 30, 2013 | -6.16 Mn |
| Jun 30, 2013 | -3.37 Mn |
| Mar 31, 2013 | -3.50 Mn |
| Dec 31, 2012 | -2.45 Mn |
| Sep 30, 2012 | -2.04 Mn |
Re Non Operating Income 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=non-operating-income&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();