Vivmark Residential (VMRK) Amortizatization of Intangibles (2013 - 2021)
Vivmark Residential (VMRK) reported Amortizatization of Intangibles of $1.1 million for Q4 2018, down 0.1% from $1.1 million a year earlier and unchanged from the prior quarter.
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Analysis
Vivmark Residential (VMRK) Amortizatization of Intangibles (2013 - 2021) Analysis & Trends
For FY2018, Vivmark Residential posted Amortizatization of Intangibles of $4.39 million, up 14.7% from FY2017.
- Amortizatization of Intangibles has increased for five consecutive years, with a five-year compound annual growth rate of 37.4% (FY2013 to FY2018).
- By year, Amortizatization of Intangibles came in at $3.83 million in FY2017 (+11.7%), $3.43 million in FY2016 (+1.3%), $3.38 million in FY2015 (+5.0%) and $3.22 million in FY2014 (+258.8%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $701,000 in Q2 2014 and a high of $1.1 million in Q4 2017.
- Year over year, Amortizatization of Intangibles gained in seven of the last eight quarters, with growth averaging 13.9%.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q1 2014 (growth of 183.9%); the low point was Q2 2014 (a decline of 24.1%).
- Per Business Quant data, the three quarters before Q4 2018 came in at $1.1 million (Q3 2018), $1.1 million (Q2 2018) and $1.1 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 145.65 Bn | 1.39 Bn | 11.09 Mn |
| 2 | Prologis | 123.69 Bn | 118.73 Bn | - | - |
| 3 | Simon Property | 64.74 Bn | 60.59 Bn | - | - |
| 4 | Realty Income | 51.42 Bn | 49.64 Bn | - | - |
| 5 | Public Storage | 50.52 Bn | 49.51 Bn | - | - |
| 6 | Ventas | 41.09 Bn | 39.78 Bn | - | - |
| 7 | Extra Space Storage | 28.14 Bn | 28.14 Bn | 642.43 Mn | - |
| 8 | Vici Properties | 24.92 Bn | 23.03 Bn | 1.05 Bn | - |
| 9 | Vivmark Residential | 22.68 Bn | 22.46 Bn | - | - |
| 10 | Essex Property Trust | 17.28 Bn | 17.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2021 | 136,000.00 |
| Mar 31, 2021 | 18,000.00 |
| Dec 31, 2020 | 18,000.00 |
| Sep 30, 2020 | 18,000.00 |
| Jun 30, 2020 | 17,000.00 |
| Mar 31, 2020 | 18,000.00 |
| Dec 31, 2019 | 18,000.00 |
| Sep 30, 2019 | 18,000.00 |
| Jun 30, 2019 | 17,000.00 |
| Mar 31, 2019 | 18,000.00 |
| Dec 31, 2018 | -1.10 Mn |
| Sep 30, 2018 | -1.10 Mn |
| Jun 30, 2018 | -3.29 Mn |
| Mar 31, 2018 | 1.10 Mn |
| Dec 31, 2017 | -6.56 Mn |
| Sep 30, 2017 | 1.01 Mn |
| Jun 30, 2017 | 861,000.00 |
| Mar 31, 2017 | 856,000.00 |
| Dec 31, 2016 | 860,000.00 |
| Sep 30, 2016 | 858,000.00 |
API Access
Vivmark Residential Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=VMRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=VMRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();