Ventas (VTR) Cost of Revenue (2010 - 2019)
Ventas (VTR) posted Cost of Revenue of $633,000 for Q1 2019, up 450.4% from $115,000 a year earlier and up 87.3% from the prior quarter.
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Analysis
Ventas (VTR) Cost of Revenue (2010 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Cost of Revenue at Ventas was $1.94 million, down 30.1% year-over-year; for FY2018, it was $1.42 million, down 58.2% from FY2017.
- Annual Cost of Revenue has declined for three consecutive years, with a five-year compound annual growth rate of -29.8% (FY2013 to FY2018).
- In prior years, Ventas' Cost of Revenue was $3.39 million in FY2017 (-53.6%), $7.31 million in FY2016 (-72.5%), $26.57 million in FY2015 (+55.4%) and $17.09 million in FY2014 (+105.6%).
- The Q1 2019 figure stands as the highest quarterly Cost of Revenue since Q4 2017.
- On a year-over-year basis, Cost of Revenue increased in three of the last eight quarters, with growth averaging 27.7%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q1 2019, with growth of 450.4%; the weakest was Q4 2016, with a decline of 86.2%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $338,000 (Q4 2018), $431,000 (Q3 2018) and $534,000 (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 164.16 Bn | 146.67 Bn | 1.39 Bn | 2.15 Bn |
| 2 | Prologis | 120.28 Bn | 124.68 Bn | - | - |
| 3 | Simon Property | 68.97 Bn | 70.18 Bn | - | - |
| 4 | Realty Income | 51.22 Bn | 53.60 Bn | - | - |
| 5 | Public Storage | 49.85 Bn | 48.94 Bn | - | - |
| 6 | Ventas | 43.09 Bn | 42.28 Bn | - | - |
| 7 | Extra Space Storage | 28.15 Bn | 28.15 Bn | 642.43 Mn | 231.72 Mn |
| 8 | Vici Properties | 24.95 Bn | 23.07 Bn | 1.05 Bn | 7.40 Mn |
| 9 | Vivmark Residential | 22.41 Bn | 22.60 Bn | - | - |
| 10 | Essex Property Trust | 17.26 Bn | 17.42 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 633,000.00 |
| Dec 31, 2018 | 338,000.00 |
| Sep 30, 2018 | 431,000.00 |
| Jun 30, 2018 | 534,000.00 |
| Mar 31, 2018 | 115,000.00 |
| Dec 31, 2017 | 1.68 Mn |
| Sep 30, 2017 | 418,000.00 |
| Jun 30, 2017 | 552,000.00 |
| Mar 31, 2017 | 738,000.00 |
| Dec 31, 2016 | 1.03 Mn |
| Sep 30, 2016 | 974,000.00 |
| Jun 30, 2016 | 1.85 Mn |
| Mar 31, 2016 | 3.45 Mn |
| Dec 31, 2015 | 7.47 Mn |
| Sep 30, 2015 | 6.42 Mn |
| Jun 30, 2015 | 5.76 Mn |
| Mar 31, 2015 | 6.92 Mn |
| Dec 31, 2014 | 7.53 Mn |
| Sep 30, 2014 | 4.57 Mn |
| Jun 30, 2014 | 1.63 Mn |
API Access
Ventas Cost of 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=cost-of-revenue&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "ticker": "VTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cost-of-revenue&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();