Ventas Total Current Liabilities from 2010 to 2024
| VTR Stock | USD 64.54 0.29 0.45% |
Total Current Liabilities | First Reported 1998-06-30 | Previous Quarter 1.1 B | Current Value 1.3 B | Quarterly Volatility 703.4 M |
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.
Ventas | Total Current Liabilities |
Latest Ventas' Total Current Liabilities Growth Pattern
Below is the plot of the Total Current Liabilities of Ventas Inc over the last few years. Total Current Liabilities is an item on Ventas balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Ventas Inc are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. It is the total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations. Ventas' Total Current Liabilities 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.
| Total Current Liabilities | 10 Years Trend |
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Total Current Liabilities |
| Timeline |
Ventas Total Current Liabilities Regression Statistics
| Arithmetic Mean | 1,175,364,848 | |
| Geometric Mean | 1,093,613,718 | |
| Coefficient Of Variation | 34.06 | |
| Mean Deviation | 256,392,142 | |
| Median | 1,148,723,000 | |
| Standard Deviation | 400,279,953 | |
| Sample Variance | 160224T | |
| Range | 1.7B | |
| R-Value | 0.05 | |
| Mean Square Error | 172129.5T | |
| R-Squared | 0 | |
| Significance | 0.86 | |
| Slope | 4,413,111 | |
| Total Sum of Squares | 2243136.6T |
Ventas Total Current Liabilities History
About Ventas Financial Statements
Ventas shareholders use historical fundamental indicators, such as Total Current Liabilities, 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 Reported | Projected for Next Year | ||
| Total Current Liabilities | 1.1 B | 771.3 M |
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 against Ventas Stock
| 0.56 | RC | Ready Capital Corp | PairCorr |
| 0.49 | INN | Summit Hotel Properties | PairCorr |
| 0.38 | PW | Power REIT | PairCorr |
| 0.37 | LXP | LXP Industrial Trust | PairCorr |
| 0.37 | AHT-PF | Ashford Hospitality Trust | PairCorr |
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.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.