Re (RMAX) Long-Term Investments (2012 - 2015)
Re's Long-Term Investments was $3.85 million in Q3 2015, up 2.7% from $3.75 million a year earlier but down 0.7% from the prior quarter.
Analysis
Re (RMAX) Long-Term Investments (2012 - 2015) Analysis & Trends
At the end of FY2014, Long-Term Investments at Re came in at $3.69 million, up 1.4% from FY2013.
- In earlier years, Long-Term Investments was $3.64 million in FY2013 (-6.6%) and $3.9 million in FY2012.
- Quarterly Long-Term Investments has moved between $3.43 million (Q1 2014) and $3.9 million (Q4 2012) over five years.
- Compared with a year earlier, Long-Term Investments has increased for five straight quarters, with growth averaging 2.3% over the last six quarters.
- Per Business Quant data, RMAX's Long-Term Investments in the three quarters before Q3 2015 was $3.88 million (Q2 2015), $3.7 million (Q1 2015) and $3.69 million (Q4 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | KE Holdings | 37.89 Bn | 18.60 Bn | 1.03 Bn | 2.88 Bn |
| 2 | Cbre | 37.24 Bn | 31.01 Bn | 2.09 Bn | 853.00 Mn |
| 3 | Jones Lang Lasalle | 14.06 Bn | 12.27 Bn | - | 873.60 Mn |
| 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 | 530.70 Mn |
| 7 | Newmark | 1.95 Bn | 1.33 Bn | - | - |
| 8 | Marcus & Millichap | 1.08 Bn | 173.61 Mn | - | 134.45 Mn |
| 9 | Agnt | 613.32 Mn | 143.01 Mn | 98.80 Mn | - |
| 10 | Re | 263.49 Mn | -673.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2015 | 3.85 Mn |
| Jun 30, 2015 | 3.88 Mn |
| Mar 31, 2015 | 3.70 Mn |
| Dec 31, 2014 | 3.69 Mn |
| Sep 30, 2014 | 3.75 Mn |
| Jun 30, 2014 | 3.61 Mn |
| Mar 31, 2014 | 3.43 Mn |
| Dec 31, 2013 | 3.64 Mn |
| Sep 30, 2013 | 3.71 Mn |
| Dec 31, 2012 | 3.90 Mn |
API Access
Re Long-Term Investments 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=long-term-investments&ticker=RMAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=RMAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();