Automatic Data Processing Stock Price on August 23, 2019
| ADP Stock | USD 241.99 0.91 0.37% |
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 241.99, as last reported on the 18th of April 2024, with the highest price reaching 245.00 and the lowest price hitting 241.67 during the day.
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 0.0503, which signifies that the company had a 0.0503% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Automatic Data Processing, which you can use to evaluate the volatility of the firm. Please confirm Automatic Data's Downside Deviation of 0.8186, risk adjusted performance of 0.0449, and Mean Deviation of 0.6352 to double-check if the risk estimate we provide is consistent with the expected return of 0.0425%.
At this time, Automatic Data's Total Stockholder Equity is relatively stable compared to the past year. As of 04/18/2024, 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 04/18/2024, 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.
IPO Date 6th of April 1983 | 200 Day MA 240.3957 | 50 Day MA 247.706 | Beta 0.785 |
Automatic |
Sharpe Ratio = 0.0503
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| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | ADP |
Estimated Market Risk
| 0.84 actual daily | 7 93% of assets are more volatile |
Expected Return
| 0.04 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| 0.05 actual daily | 3 97% of assets perform better |
Based on monthly moving average Automatic Data is performing at about 3% 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 23.1966 | Enterprise Value Ebitda 18.5 | Price Sales 5.3896 | 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 Reported | Projected for Next Year | ||
| Common Stock Shares Outstanding | 374.1 M | 434.3 M | |
| Net Income Applicable To Common Shares | 3.9 B | 4.1 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.
Price Boundaries
Automatic Data Period Price Range
Automatic Data April 18, 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
| Accumulation Distribution | 19765.34 | |||
| Daily Balance Of Power | (0.27) | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 243.33 | |||
| Day Typical Price | 242.89 | |||
| Price Action Indicator | (1.80) | |||
| Period Momentum Indicator | (0.91) | |||
| Relative Strength Index | 67.11 |
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.
| Risk Adjusted Performance | 0.0449 | |||
| Jensen Alpha | 0.0259 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 8.0E-4 | |||
| Treynor Ratio | 0.1038 |
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
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| Volume Indicators |
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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
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.