Automatic Historical Valuation
| ADP Stock | USD 242.90 1.31 0.54% |
Some fundamental drivers such as market cap or Automatic Data enterprice value can be analyzed from historical perspective to project value of the company into the future. Some investors analyze Automatic Data Processing valuation indicators such as Working Capital of 0.0 or Enterprise Value of 61 B to time the market or to short-sell their positions based on the trend in valuation ratios. It is a perfect tool to project the direction of Automatic Data's future value.
Automatic |
About Automatic Valuation Data Analysis
Valuation is the financial process of determining what Automatic Data is worth. Automatic Data valuation ratios put that insight into the context of a company's share price, where they serve as useful tools for evaluating and utilizing investment potential. Automatic Data valuation ratios help investors to determine whether Automatic Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Automatic with respect to the benefits of owning Automatic Data security.
Automatic Data Valuation Data Chart
Automatic valuation ratios help to determine how cheap or expensive it is, compared to its peers or based on some benchmark measure of value for a given date. A typical valuation ratio shows the difference between the cost of Automatic equity instrument and the benefits of owning shares of Automatic Data Processing.
As of 04/18/2024, Market Cap is likely to grow to about 60.6 B. Also, Enterprise Value is likely to grow to about 61 B Enterprise Value
Enterprise Value (or EV) is usually referred to as Automatic Data theoretical takeover price. In the event of an acquisition, an acquirer would have to take on Automatic Data Processing debt, but would also pocket its cash. Enterprise Value is more accurate representation of Automatic Data value than its market capitalization because it takes into account all of Automatic Data Processing existing debt. A measure of a company's total value, often used as a more comprehensive alternative to equity market capitalization that includes the market capitalization, plus total debt, minority interest and preferred shares, minus total cash and cash equivalents.Pair Trading with Automatic Data
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 Automatic Data 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 Automatic Data will appreciate offsetting losses from the drop in the long position's value.Moving against Automatic Stock
| 0.54 | VIRC | Virco Manufacturing Report 26th of April 2024 | PairCorr |
| 0.53 | LNZA | LanzaTech Global Financial Report 20th of May 2024 | PairCorr |
| 0.49 | ARC | ARC Document Solutions Financial Report 1st of May 2024 | PairCorr |
| 0.45 | BE | Bloom Energy Corp Financial Report 14th of May 2024 | PairCorr |
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data 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 Automatic Data - 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 Automatic Data Processing to buy it.
The correlation of Automatic Data 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 Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing 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 Automatic Data 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.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Automatic Data Processing. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment. Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Complementary Tools for Automatic Stock analysis
When running Automatic Data's price analysis, check to measure Automatic Data's 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 Automatic Data is operating at the current time. Most of Automatic Data's value examination focuses on studying past and present price action to predict the probability of Automatic Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automatic Data's price. Additionally, you may evaluate how the addition of Automatic Data to your portfolios can decrease your overall portfolio volatility.
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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.092 | Dividend Share 5.15 | Earnings Share 8.59 | Revenue Per Share 45.09 | Quarterly Revenue Growth 0.063 |
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.