Automatic Data Processing Stock Price on November 7, 2024
| ADP Stock | USD 304.57 5.98 2.00% |
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 304.57, as last reported on the 22nd of November, with the highest price reaching 304.96 and the lowest price hitting 298.81 during the day.
If you're considering investing in Automatic Stock, it is important to understand the factors that can impact its price. Automatic Data appears to be very steady, given 3 months investment horizon. Automatic Data Processing secures Sharpe Ratio (or Efficiency) of 0.19, which signifies that the company had a 0.19% 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 makes use of Automatic Data's Mean Deviation of 0.6734, downside deviation of 0.775, and Risk Adjusted Performance of 0.1531 to double-check if our risk estimates are consistent with your expectations.
At this time, Automatic Data's Common Stock Shares Outstanding is relatively stable compared to the past year. As of 11/22/2024, Liabilities And Stockholders Equity is likely to grow to about 57.1 B, while Common Stock Total Equity is likely to drop slightly above 70.2 M. . At this time, Automatic Data's Price To Sales Ratio is relatively stable compared to the past year. As of 11/22/2024, Price Book Value Ratio is likely to grow to 22.34, while Price To Free Cash Flows Ratio is likely to drop 17.57. 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 259.6017 | 50 Day MA 288.0444 | Beta 0.795 |
Automatic |
Sharpe Ratio = 0.1933
| Best Portfolio | Best Equity | |||
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| Small Returns | ADP | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
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Estimated Market Risk
| 1.02 actual daily | 9 91% of assets are more volatile |
Expected Return
| 0.2 actual daily | 3 97% of assets have higher returns |
Risk-Adjusted Return
| 0.19 actual daily | 15 85% of assets perform better |
Based on monthly moving average Automatic Data is performing at about 15% 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 22.6666 | Enterprise Value Ebitda 20.6008 | Price Sales 6.2318 | Shares Float 406.6 M | Dividend Share 5.6 |
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Automatic Data Valuation on November 7, 2024
It is possible to determine the worth of Automatic Data on a given historical date. On November 7, 2024 Automatic was worth 305.0 at the beginning of the trading date compared to the closed value of 304.85. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Automatic Data stock. Still, in general, we apply an absolute valuation method to find Automatic Data's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Automatic Data where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Automatic Data's related companies.
| Open | High | Low | Close | Volume | |
| 299.59 | 306.71 | 296.74 | 305.18 | 2,869,343 | |
11/07/2024 | 305.00 | 306.19 | 303.05 | 304.85 | 1,299,509 |
| 305.66 | 306.92 | 304.13 | 304.73 | 1,552,646 |
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Automatic Data Trading Date Momentum on November 7, 2024
| On November 08 2024 Automatic Data Processing was traded for 304.73 at the closing time. Highest Automatic Data's price during the trading hours was 306.92 and the lowest price during the day was 304.13 . The net volume was 1.6 M. The overall trading history on the 8th of November contributed to the next trading period price depreciation. The overall trading delta to the next next day price was 0.04% . The overall trading delta to current price is 2.37% . |
Automatic Data Processing Fundamentals Correlations and Trends
By evaluating Automatic Data's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Automatic financial account trend analysis is a perfect complement when working with valuation or volatility modules.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 | 412.2 M | 431.7 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
Low | November 22, 2024
| High |
0.00 | 0.00 |
Automatic Data Processing cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Automatic Data November 22, 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.
| Risk Adjusted Performance | 0.1531 | |||
| Jensen Alpha | 0.1189 | |||
| Total Risk Alpha | 0.075 | |||
| Sortino Ratio | 0.1297 | |||
| Treynor Ratio | 0.237 |
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Additional 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.