Ventas Net Income from 2010 to 2024

VTR Stock  USD 64.30  0.19  0.30%   
Ventas Net Loss yearly trend continues to be relatively stable with very little volatility. Net Loss is likely to grow to about -38.9 M this year. During the period from 2010 to 2024, Ventas Net Loss destribution of quarterly values had range of 1.4 B from its regression line and mean deviation of  246,007,276. View All Fundamentals
 
Net Loss  
First Reported
1998-09-30
Previous Quarter
19.4 M
Current Value
50
Quarterly Volatility
99.7 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
Check Ventas financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Ventas' main balance sheet or income statement drivers, such as Depreciation And Amortization of 770.3 M, Total Revenue of 4.7 B or Gross Profit of 1.3 B, as well as many indicators such as Price To Sales Ratio of 3.98, Dividend Yield of 0.0607 or PTB Ratio of 2.22. Ventas financial statements analysis is a perfect complement when working with Ventas Valuation or Volatility modules.
  
Check out the analysis of Ventas Correlation against competitors.

Latest Ventas' Net Income Growth Pattern

Below is the plot of the Net Income of Ventas Inc over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Ventas Inc financial statement analysis. It represents the amount of money remaining after all of Ventas Inc operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Ventas' Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Ventas' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (40.97 M)10 Years Trend
Slightly volatile
   Net Income   
       Timeline  

Ventas Net Income Regression Statistics

Arithmetic Mean351,669,043
Geometric Mean202,314,278
Coefficient Of Variation102.89
Mean Deviation246,007,276
Median409,467,000
Standard Deviation361,845,671
Sample Variance130932.3T
Range1.4B
R-Value(0.29)
Mean Square Error129192.5T
R-Squared0.08
Significance0.30
Slope(23,417,766)
Total Sum of Squares1833052.1T

Ventas Net Income History

2024-38.9 M
2023-41 M
2022-40.9 M
202149 M
2020439.1 M
2019433 M
2018409.5 M

Other Fundumenentals of Ventas Inc

Ventas Net Income component correlations

About Ventas Financial Statements

Ventas shareholders use historical fundamental indicators, such as Net Income, to determine how well the company is positioned to perform in the future. Although Ventas investors may analyze each financial statement separately, they are all interrelated. The changes in Ventas' assets and liabilities, for example, are also reflected in the revenues and expenses on on Ventas' income statement. Understanding these patterns can help investors time the market effectively. Please read more on our fundamental analysis page.
Last ReportedProjected for Next Year
Net Loss-41 M-38.9 M
Net Loss-54.6 M-51.8 M
Net Loss-30.3 M-28.8 M
Net Loss(0.10)(0.10)
Net Income Per E B T 1.03  0.88 

Pair Trading with Ventas

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ventas position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ventas will appreciate offsetting losses from the drop in the long position's value.

Moving together with Ventas Stock

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Moving against Ventas Stock

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The ability to find closely correlated positions to Ventas could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ventas when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Ventas - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Ventas Inc to buy it.
The correlation of Ventas is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ventas moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ventas Inc moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ventas can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching

Additional Tools for Ventas Stock Analysis

When running Ventas' price analysis, check to measure Ventas' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Ventas is operating at the current time. Most of Ventas' value examination focuses on studying past and present price action to predict the probability of Ventas' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ventas' price. Additionally, you may evaluate how the addition of Ventas to your portfolios can decrease your overall portfolio volatility.