Automatic Data Processing Stock Price History

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, mean deviation of 0.5226, and Downside Deviation of 0.6409 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

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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

Automatic Data Stock Price History Chart

There are several ways to analyze Automatic Stock price data. The simplest method is using a basic Automatic candlestick price chart, which shows Automatic Data price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest PriceFebruary 23, 2024254.4
Lowest PriceJanuary 3, 2024231.17

Automatic Data March 29, 2024 Stock Price Synopsis

Various analyses of Automatic Data's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Automatic Stock. It can be used to describe the percentage change in the price of Automatic Data from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Automatic Stock.
Automatic Data Price Daily Balance Of Power 0.69 
Automatic Data Price Action Indicator 0.40 
Automatic Data Price Rate Of Daily Change 1.01 
Automatic Data Accumulation Distribution 10,528 

Automatic Data March 29, 2024 Stock Price Analysis

When benchmark price declines in a down market, there may be an uptick in Automatic Stock price where buyers come in believing the asset is cheap or selling overdone. The opposite is true when the market is bullish. You can use Automatic Data intraday prices and daily technical indicators to check the level of noise trading in Automatic Stock and then apply it to test your longer-term investment strategies against Automatic.

Automatic Stock Price History Data

The price series of Automatic Data for the period between Sat, Dec 30, 2023 and Fri, Mar 29, 2024 has a statistical range of 24.76 with a coefficient of variation of 2.96. The prices are distributed with arithmetic mean of 242.36. The median price for the last 90 days is 244.2. The company had 1139:1000 stock split on 1st of October 2014. Automatic Data Processing issued dividends on 2024-03-07.
OpenHighLowCloseVolume
03/28/2024 249.63  251.06  249.03  249.74  1,302,004 
03/27/2024 246.95  249.43  246.88  248.33  1,132,559 
03/26/2024 243.56  245.25  243.40  245.07  1,072,912 
03/25/2024 247.42  247.75  244.05  244.20  1,069,608 
03/22/2024 251.23  251.23  246.96  247.61  1,612,600 
03/21/2024 248.47  250.53  247.42  248.95  1,857,954 
03/20/2024 245.01  247.87  244.12  247.72  2,105,155 
03/19/2024 242.57  244.32  241.29  244.13  1,864,210 
03/18/2024 243.61  244.28  241.68  241.85  2,001,884 
03/15/2024 242.98  243.83  238.83  242.09  11,912,115 
03/14/2024 244.71  244.99  242.23  243.25  1,867,490 
03/13/2024 244.67  245.26  243.07  244.21  1,558,996 
03/12/2024 244.09  245.66  242.61  244.67  1,978,812 
03/11/2024 243.23  244.53  241.70  244.09  1,477,143 
03/08/2024 243.90  244.31  241.48  242.40  1,815,638 
03/07/2024 243.76  245.97  243.25  244.25  2,445,415 
03/06/2024 244.96  246.28  242.36  242.36  2,163,688 
03/05/2024 246.35  246.66  242.58  242.60  2,433,279 
03/04/2024 247.01  249.42  243.80  244.79  3,661,533 
03/01/2024 249.43  250.18  248.26  248.26  2,091,000 
02/29/2024 253.70  253.81  249.69  249.69  2,796,700 
02/28/2024 250.56  251.91  250.12  250.12  1,508,100 
02/27/2024 253.15  253.30  249.87  249.87  1,241,800 
02/26/2024 256.57  256.57  252.09  252.09  1,141,300 
02/23/2024 255.24  256.21  254.40  254.40  1,306,600 
02/22/2024 254.07  255.75  253.30  253.30  1,692,900 
02/21/2024 253.56  254.02  251.53  252.46  1,146,400 
02/20/2024 253.40  254.52  251.49  251.49  1,439,300 
02/16/2024 251.75  254.36  250.64  251.52  2,098,800 
02/15/2024 251.60  252.82  250.60  250.60  1,387,600 
02/14/2024 250.10  251.26  249.06  249.46  1,131,500 
02/13/2024 250.45  250.50  247.87  248.16  1,827,900 
02/12/2024 249.75  250.78  248.63  248.63  1,260,500 
02/09/2024 250.89  251.00  248.55  248.55  1,243,300 
02/08/2024 249.99  251.19  248.40  249.64  1,330,900 
02/07/2024 251.83  252.37  248.83  248.83  1,460,700 
02/06/2024 249.40  251.80  248.52  249.37  1,690,500 
02/05/2024 248.59  248.84  246.09  246.85  1,733,200 
02/02/2024 247.58  249.83  246.73  247.38  2,223,000 
02/01/2024 245.00  247.25  241.97  245.66  2,008,000 
01/31/2024 246.41  251.22  244.00  244.37  4,436,100 
01/30/2024 235.93  238.84  235.11  237.22  2,024,100 
01/29/2024 234.44  237.71  234.38  236.34  2,165,100 
01/26/2024 237.76  237.76  234.74  234.74  1,677,900 
01/25/2024 239.24  240.75  235.36  235.36  1,993,300 
01/24/2024 241.41  241.59  237.07  237.07  1,744,500 
01/23/2024 239.40  240.50  238.43  238.98  1,245,100 
01/22/2024 238.08  240.26  237.92  238.03  1,761,200 
01/19/2024 236.70  239.22  234.64  236.87  1,822,100 
01/18/2024 235.06  236.68  234.16  234.72  1,182,700 
01/17/2024 236.14  237.26  234.04  234.04  1,409,300 
01/16/2024 235.13  235.89  233.29  233.93  1,288,800 
01/12/2024 236.65  237.40  234.06  234.59  932,200 
01/11/2024 235.35  235.80  232.35  233.99  1,545,200 
01/10/2024 234.96  236.12  233.94  233.94  1,218,000 
01/09/2024 235.00  236.99  233.87  233.87  1,135,000 
01/08/2024 235.55  237.16  234.94  235.40  1,678,500 
01/05/2024 232.64  235.43  232.45  233.86  1,765,400 
01/04/2024 233.99  235.35  232.32  232.32  2,145,400 
01/03/2024 233.63  234.22  231.17  231.17  1,831,500 
01/02/2024 233.38  233.85  231.89  232.08  1,955,400 

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...

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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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.

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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
8.64
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.