Vivmark Residential (VMRK) Revenue (2009 - 2020)
Vivmark Residential (VMRK) recorded Revenue of $682.33 million in Q1 2020, up 3.0% from $662.49 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Vivmark Residential (VMRK) Revenue (2009 - 2020) Analysis & Trends
On a TTM basis, Vivmark Residential's Revenue came in at $2.72 billion as of Mar 31, 2020, up 4.3% year-over-year; for FY2019, it was $2.7 billion, up 4.8% from FY2018.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 0.7% (FY2014 to FY2019).
- Across earlier years, Revenue came in at $2.58 billion in FY2018 (+4.3%), $2.47 billion in FY2017 (+1.9%), $2.43 billion in FY2016 (-11.6%) and $2.74 billion in FY2015 (+5.0%).
- Quarterly Revenue has ranged from $595.15 million in Q2 2016 to $703.19 million in Q4 2015 over the past five years.
- On a year-over-year basis, Revenue has increased for 12 consecutive quarters, with growth averaging 4.3% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 5.8% in Q4 2015, against a decline of 13.9% in Q4 2016 at the low end.
- Per Business Quant, the preceding three quarters came in at $683.92 million (Q4 2019), $685.15 million (Q3 2019) and $669.52 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.17 Bn | 146.66 Bn | 1.39 Bn | 3.54 Bn |
| 2 | Prologis | 123.98 Bn | 119.02 Bn | - | 2.43 Bn |
| 3 | Simon Property | 64.46 Bn | 60.31 Bn | - | 1.76 Bn |
| 4 | Realty Income | 51.59 Bn | 49.82 Bn | - | 1.55 Bn |
| 5 | Public Storage | 50.66 Bn | 49.65 Bn | - | 1.23 Bn |
| 6 | Ventas | 41.43 Bn | 40.11 Bn | - | 1.73 Bn |
| 7 | Extra Space Storage | 28.25 Bn | 28.25 Bn | 642.43 Mn | 874.15 Mn |
| 8 | Vici Properties | 25.03 Bn | 23.14 Bn | 1.05 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 22.69 Bn | 22.47 Bn | - | - |
| 10 | Essex Property Trust | 17.30 Bn | 17.06 Bn | - | 489.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 682.33 Mn |
| Dec 31, 2019 | 683.92 Mn |
| Sep 30, 2019 | 685.15 Mn |
| Jun 30, 2019 | 669.52 Mn |
| Mar 31, 2019 | 662.49 Mn |
| Dec 31, 2018 | 652.74 Mn |
| Sep 30, 2018 | 652.87 Mn |
| Jun 30, 2018 | 639.81 Mn |
| Mar 31, 2018 | 633.02 Mn |
| Dec 31, 2017 | 630.70 Mn |
| Sep 30, 2017 | 624.12 Mn |
| Jun 30, 2017 | 612.48 Mn |
| Mar 31, 2017 | 604.10 Mn |
| Dec 31, 2016 | 605.49 Mn |
| Sep 30, 2016 | 606.07 Mn |
| Jun 30, 2016 | 595.15 Mn |
| Mar 31, 2016 | 619.08 Mn |
| Dec 31, 2015 | 703.19 Mn |
| Sep 30, 2015 | 696.29 Mn |
| Jun 30, 2015 | 679.11 Mn |
API Access
Vivmark Residential Revenue 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=revenue&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();