Vivmark Residential (VMRK) Asset Utilization Ratio (2010 - 2020)
Vivmark Residential (VMRK) posted Asset Utilization Ratio of 0.13 for Q1 2020, up 1.06% on a QoQ basis from 0.13 in Q4 2019, and up 2.03% year-over-year from 0.13 in Q2 2019.
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Analysis
Vivmark Residential (VMRK) Asset Utilization Ratio (2010 - 2020) Analysis & Trends
Vivmark Residential has reported Asset Utilization Ratio for 11 years, with the latest figure at 0.13 in Q1 2020.
- On a quarterly basis, Asset Utilization Ratio rose 2.03% year-over-year to 0.13 in Q1 2020; TTM through Mar 2020 was 0.13, a 2.03% increase from a year earlier, with the FY2019 full-year figure at 0.13, up 3.24% from the prior year.
- Asset Utilization Ratio was 0.13 for Q1 2020 at Vivmark Residential, up from 0.13 in the prior quarter.
- The five-year high for Asset Utilization Ratio was 0.13 in Q1 2020, with the low at 0.12 in Q4 2016.
- Average Asset Utilization Ratio over 5 years is 0.12, with a median of 0.12 recorded in 2016.
- The sharpest annual moves came in 2016 and 2017: Asset Utilization Ratio gained 5.96% in 2016, then dropped 4.2% in 2017.
- Over 5 years, Asset Utilization Ratio stood at 0.12 in 2016, then gained by 3.69% to 0.12 in 2017, then grew by 5.18% to 0.13 in 2018, then grew by 1.56% to 0.13 in 2019, then advanced by 1.06% to 0.13 in 2020.
- The last three Asset Utilization Ratio figures came in at 0.13 (Q1 2020), 0.13 (Q4 2019), and 0.13 (Q3 2019), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 165.94 Bn | 165.00 Bn | 1.39 Bn | 0.19 |
| 2 | Prologis | 126.84 Bn | 131.24 Bn | 2.41 Bn | 0.09 |
| 3 | Simon Property | 67.22 Bn | 68.48 Bn | 1.76 Bn | 0.17 |
| 4 | Realty Income | 53.47 Bn | 55.85 Bn | - | 0.08 |
| 5 | Public Storage | 50.86 Bn | 50.70 Bn | 1.20 Bn | 0.24 |
| 6 | Ventas | 44.55 Bn | 44.86 Bn | 1.73 Bn | 0.22 |
| 7 | Extra Space Storage | 28.52 Bn | 29.39 Bn | 642.43 Mn | 0.12 |
| 8 | Vici Properties | 26.41 Bn | 25.98 Bn | 1.05 Bn | 0.09 |
| 9 | Vivmark Residential | 23.37 Bn | 23.56 Bn | - | - |
| 10 | Invitation Homes | 16.02 Bn | 16.06 Bn | 705.34 Mn | 0.15 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 0.13 |
| Dec 31, 2019 | 0.13 |
| Sep 30, 2019 | 0.13 |
| Jun 30, 2019 | 0.13 |
| Mar 31, 2019 | 0.13 |
| Dec 31, 2018 | 0.13 |
| Sep 30, 2018 | 0.12 |
| Jun 30, 2018 | 0.12 |
| Mar 31, 2018 | 0.12 |
| Dec 31, 2017 | 0.12 |
| Sep 30, 2017 | 0.12 |
| Jun 30, 2017 | 0.12 |
| Mar 31, 2017 | 0.12 |
| Dec 31, 2016 | 0.12 |
| Sep 30, 2016 | 0.12 |
| Jun 30, 2016 | 0.12 |
| Mar 31, 2016 | 0.12 |
| Dec 31, 2015 | 0.12 |
| Sep 30, 2015 | 0.12 |
| Jun 30, 2015 | 0.12 |
API Access
Vivmark Residential Asset Utilization Ratio 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=asset-utilization-ratio&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();