Automatic Data Processing Stock Price on July 15, 2019

ADP Stock  USD 249.74  1.41  0.57%   
Below is the normalized historical share price chart for Automatic Data Processing extending back to March 17, 1980. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Automatic Data stands at 249.74, as last reported on the 29th of March, with the highest price reaching 251.06 and the lowest price hitting 249.03 during the day.
IPO Date
6th of April 1983
200 Day MA
238.7462
50 Day MA
246.1244
Beta
0.789
 
Black Monday
 
Oil Shock
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
If you're considering investing in Automatic Stock, it is important to understand the factors that can impact its price. We consider Automatic Data very steady. Automatic Data Processing secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Automatic Data Processing, which you can use to evaluate the volatility of the firm. Please confirm Automatic Data's Risk Adjusted Performance of 0.1052, downside deviation of 0.6409, and Mean Deviation of 0.5226 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%.
  
At this time, Automatic Data's Total Stockholder Equity is relatively stable compared to the past year. As of 03/29/2024, Common Stock Shares Outstanding is likely to grow to about 434.3 M, while Common Stock is likely to drop slightly above 70.2 M. . At this time, Automatic Data's Price Book Value Ratio is relatively stable compared to the past year. As of 03/29/2024, Price To Book Ratio is likely to grow to 24.49, while Price Earnings To Growth Ratio is likely to drop 1.24. Automatic Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.1707

Best PortfolioBest Equity
Good Returns
Average Returns
Small Returns
CashADPAverage RiskHigh RiskHuge Risk
Negative Returns

Estimated Market Risk

 0.72
  actual daily
6
94% of assets are more volatile

Expected Return

 0.12
  actual daily
2
98% of assets have higher returns

Risk-Adjusted Return

 0.17
  actual daily
13
87% of assets perform better
Based on monthly moving average Automatic Data is performing at about 13% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Automatic Data by adding it to a well-diversified portfolio.
Price Book
23.616
Enterprise Value Ebitda
18.829
Price Sales
5.5198
Shares Float
409.9 M
Dividend Share
5.15

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

About Automatic Data Stock history

Automatic Data investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Automatic is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Automatic Data Processing will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Automatic Data stock prices may prove useful in developing a viable investing in Automatic Data
Last ReportedProjected for 2024
Common Stock Shares Outstanding374.1 M434.3 M
Net Income Applicable To Common Shares3.9 B4.1 B

Automatic Data Stock Technical Analysis

Automatic Data technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Automatic Data technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Automatic Data trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Automatic Data Period Price Range

Automatic Data March 29, 2024 Market Strength

Market strength indicators help investors to evaluate how Automatic Data stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Automatic Data shares will generate the highest return on investment. By undertsting and applying Automatic Data stock market strength indicators, traders can identify Automatic Data Processing entry and exit signals to maximize returns

Automatic Data Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Automatic Data's price direction in advance. Along with the technical and fundamental analysis of Automatic Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Automatic to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:
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 CEOs Directory module to screen CEOs from public companies around the world.

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.
ETF Categories
List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments
Price Transformation
Use Price Transformation models to analyze the depth of different equity instruments across global markets
CEOs Directory
Screen CEOs from public companies around the world
Balance Of Power
Check stock momentum by analyzing Balance Of Power indicator and other technical ratios
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Risk-Return Analysis
View associations between returns expected from investment and the risk you assume
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Latest Portfolios
Quick portfolio dashboard that showcases your latest portfolios
Portfolio Holdings
Check your current holdings and cash postion to detemine if your portfolio needs rebalancing
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device
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
8.64
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.