Vivmark Residential (VMRK) Income from Discontinued Operations (2009 - 2016)
Vivmark Residential's Income from Discontinued Operations came in at $394,000 for Q4 2016, up 738.3% from $47,000 a year earlier and up 60.2% from the prior quarter.
Powered by 
Analysis
Vivmark Residential (VMRK) Income from Discontinued Operations (2009 - 2016) Analysis & Trends
For FY2016, Vivmark Residential's Income from Discontinued Operations was $518,000, up 30.5% from FY2015.
- Income from Discontinued Operations carries a five-year compound annual growth rate of -78.0% (FY2011 to FY2016).
- Going back by year, Income from Discontinued Operations was $397,000 in FY2015 (-74.9%), $1.58 million in FY2014 (-99.9%), $2.07 billion in FY2013 (+187.6%) and $720.91 million in FY2012 (-28.5%).
- The Q4 2016 figure represents the highest quarterly Income from Discontinued Operations since Q2 2014.
- Year-over-year, Income from Discontinued Operations increased in two of the last six quarters, with growth averaging 111.2%.
- The fastest year-over-year change in Income from Discontinued Operations over five years came in Q4 2016 (growth of 738.3%), and the weakest in Q1 2014 (a decline of 99.9%).
- Business Quant data shows VMRK's Income from Discontinued Operations at $246,000 (Q3 2016), $35,000 (Q2 2016) and -$157,000 (Q1 2016) in the three quarters before Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Discontinued) (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.26 Bn | 146.75 Bn | 1.39 Bn | - |
| 2 | Prologis | 124.07 Bn | 119.11 Bn | - | - |
| 3 | Simon Property | 64.51 Bn | 60.36 Bn | - | - |
| 4 | Realty Income | 51.60 Bn | 49.82 Bn | - | - |
| 5 | Public Storage | 50.71 Bn | 49.70 Bn | - | - |
| 6 | Ventas | 41.44 Bn | 40.13 Bn | - | - |
| 7 | Extra Space Storage | 28.26 Bn | 28.26 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 25.01 Bn | 23.13 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.69 Bn | 22.47 Bn | - | - |
| 10 | Essex Property Trust | 17.32 Bn | 17.08 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 394,000.00 |
| Sep 30, 2016 | 246,000.00 |
| Jun 30, 2016 | 35,000.00 |
| Mar 31, 2016 | -157,000.00 |
| Dec 31, 2015 | 47,000.00 |
| Sep 30, 2015 | 81,000.00 |
| Jun 30, 2015 | 114,000.00 |
| Mar 31, 2015 | 155,000.00 |
| Dec 31, 2014 | 82,000.00 |
| Sep 30, 2014 | -62,000.00 |
| Jun 30, 2014 | 510,000.00 |
| Mar 31, 2014 | 1.05 Mn |
| Dec 31, 2013 | 46.73 Mn |
| Sep 30, 2013 | 405.18 Mn |
| Jun 30, 2013 | 395.24 Mn |
| Mar 31, 2013 | 1.23 Bn |
| Dec 31, 2012 | 283.64 Mn |
| Sep 30, 2012 | 145.05 Mn |
| Jun 30, 2012 | 114.66 Mn |
| Mar 31, 2012 | 177.56 Mn |
API Access
Vivmark Residential Income from Discontinued Operations 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=income-from-discontinued-operations&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-discontinued-operations", "ticker": "VMRK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=income-from-discontinued-operations&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();