Ventas (VTR) Operating Income (2010 - 2019)
Ventas (VTR) reported Operating Income of $232.45 million for Q1 2019, up 1.5% from $228.92 million a year earlier and up 63.7% from the prior quarter.
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Analysis
Ventas (VTR) Operating Income (2010 - 2019) Analysis & Trends
Over the twelve months ended Mar 31, 2019, Ventas' Operating Income came in at $830.85 million, down 17.2% year-over-year; for FY2018, it was $827.32 million, down 19.9% from FY2017.
- Operating Income has a five-year compound annual growth rate of 6.2% (FY2013 to FY2018).
- By year, Operating Income came in at $1.03 billion in FY2017 (+10.1%), $938.25 million in FY2016 (+30.5%), $718.79 million in FY2015 (+11.8%) and $642.77 million in FY2014 (+4.8%).
- Five-year quarterly Operating Income spans a low of $51.51 million in Q2 2014 and a high of $263.79 million in Q2 2017.
- Year over year, Operating Income gained in four of the last eight quarters, with an average decline of 7.0%.
- The high point for year-over-year Operating Income in five years was Q1 2015 (growth of 320.6%); the low point was Q2 2014 (a decline of 74.7%).
- Per Business Quant data, the three quarters before Q1 2019 came in at $142.03 million (Q4 2018), $204.23 million (Q3 2018) and $252.14 million (Q2 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 176.94 Bn | 162.96 Bn | 1.47 Bn | 337.95 Mn |
| 2 | Prologis | 122.03 Bn | 115.99 Bn | - | 1.04 Bn |
| 3 | Simon Property | 74.72 Bn | 70.78 Bn | - | 824.10 Mn |
| 4 | Public Storage | 61.00 Bn | 59.72 Bn | - | 316.96 Mn |
| 5 | Realty Income | 55.78 Bn | 54.05 Bn | - | - |
| 6 | Ventas | 45.39 Bn | 44.06 Bn | - | - |
| 7 | Extra Space Storage | 33.09 Bn | 32.00 Bn | 650.96 Mn | 391.87 Mn |
| 8 | Vici Properties | 27.35 Bn | 25.70 Bn | 1.06 Bn | 556.22 Mn |
| 9 | Vivmark Residential | 24.46 Bn | 24.24 Bn | - | - |
| 10 | Essex Property Trust | 17.61 Bn | 17.36 Bn | - | 156.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 232.45 Mn |
| Dec 31, 2018 | 142.03 Mn |
| Sep 30, 2018 | 204.23 Mn |
| Jun 30, 2018 | 252.14 Mn |
| Mar 31, 2018 | 228.92 Mn |
| Dec 31, 2017 | 248.46 Mn |
| Sep 30, 2017 | 262.23 Mn |
| Jun 30, 2017 | 263.79 Mn |
| Mar 31, 2017 | 258.42 Mn |
| Dec 31, 2016 | 245.27 Mn |
| Sep 30, 2016 | 246.04 Mn |
| Jun 30, 2016 | 228.55 Mn |
| Mar 31, 2016 | 218.39 Mn |
| Dec 31, 2015 | 215.60 Mn |
| Sep 30, 2015 | 132.63 Mn |
| Jun 30, 2015 | 198.74 Mn |
| Mar 31, 2015 | 171.83 Mn |
| Dec 31, 2014 | 150.52 Mn |
| Sep 30, 2014 | 163.34 Mn |
| Jun 30, 2014 | 51.51 Mn |
API Access
Ventas Operating Income 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=operating-income&ticker=VTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=VTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();