Automatic Data Processing Stock Today

ADP Stock  USD 249.74  1.41  0.57%   

Performance

13 of 100

 
Low
 
High
Good

Odds Of Distress

Less than 9

 
100  
 
Zero
Low
Automatic Data is selling at 249.74 as of the 29th of March 2024; that is 0.57 percent up since the beginning of the trading day. The stock's last reported lowest price was 249.03. Automatic Data has less than a 9 % chance of experiencing financial distress in the next few years and had a good performance during the last 90 days. Equity ratings for Automatic Data Processing are calculated daily based on our scoring framework. The performance scores are derived for the period starting the 28th of February 2024 and ending today, the 29th of March 2024. Click here to learn more.
Business Domain
Commercial & Professional Services
IPO Date
6th of April 1983
Category
Industrials
Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. Automatic Data operates under Staffing Employment Services classification in the United States and is traded on NASDAQ Exchange. The company has 410.79 M outstanding shares of which 5.19 M shares are presently shorted by investors with about 2.22 days to cover. More on Automatic Data Processing

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Automatic Stock Highlights

Most reasonable investors view market volatility as an opportunity to invest at a favorable price or to sell short against a bearish trend. Automatic Data's investment highlights are automatically generated signals that are significant enough to either complement your investing judgment regarding Automatic Data or challenge it. These highlights can help you better understand the position you are entering and avoid costly mistakes.
ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary, Automatic Data's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Automatic Data's managers, analysts, and investors.
Environment Score
Governance Score
Social Score
CEO and President and DirectorCarlos Rodriguez
Thematic IdeaMacroaxis Picks (View all Themes)
Old NameAccend Capital Corporation
Business ConcentrationHuman Resource & Employment Services, Commercial & Professional Services, Industrials, SP 500 Index, Nasdaq 100, ARCA Computer Technology, NASDAQ 100 Pre, NASDAQ Composite, NASDAQ Composite Total, SBF 120, CAC All-Tradable, Macroaxis Picks, Industrials, Professional Services, Staffing & Employment Services, Industrials, Computing (View all Sectors)
Average Analyst Recommendation
Analysts covering Automatic Data report their recommendations after researching Automatic Data's financial statements, talking to executives and customers, or listening in on Automatic Data's conference calls. The current trade recommendation is based on an ongoing consensus estimate among financial analysts covering Automatic Data Processing. The Automatic consensus assessment is calculated by taking the average forecast from all of the analysts covering Automatic Data.
Automatic Data's financial strength is of vital concern to both outside investors and internal stakeholders. Efficiency and cost control are keys to Automatic Data's success, along with its ability to generate sufficient cash flow to pay bills, repay debt, and make a consistent year-to-year profit.
Automatic Data's bond ratings measure its overall creditworthiness, which in many ways corresponds to the cost of borrowing for an issuer. These ratings assign a letter grade to all of Automatic Data's outstanding corporate bonds that indicate their credit quality. We use reports published by private self-sufficient rating services such as Standard & Poor's or Fitch Ratings Inc. to evaluate a bond issuer's financial strength or its ability to pay a bond's principal and interest.
Financial leverage usually refers to the use of borrowed funds to amplify returns from an investment. In general, analyzing the relationship between debt to total assets helps investors to understand Automatic Data's financial leverage. It provides some insight into what part of Automatic Data's total assets is financed by creditors.
By using current balance sheet information, investors can analyze the liability, assets, and equity on Automatic Data's books and decide whether to invest or hold. Statistics such as return on equity (ROE), debt to equity (D/E) help investors determine how Automatic Data deploys its capital and how much of that capital is borrowed.
Liquidity
Automatic Data cash flow analysis is essential to understand how it generates and spends money over a specific period. It can also help you figure out where your money is going and how much cash you have available at a given moment. The company has 3.34 B in debt with debt to equity (D/E) ratio of 1.4, which is OK given its current industry classification. Automatic Data Processing has a current ratio of 0.95, suggesting that it has not enough short term capital to pay financial commitments when the payables are due. Debt can assist Automatic Data until it has trouble settling it off, either with new capital or with free cash flow. So, Automatic Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Automatic Data Processing sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Automatic to invest in growth at high rates of return. When we think about Automatic Data's use of debt, we should always consider it together with cash and equity.

Dividends Paid

(1.63 Billion)
Automatic Data Processing (ADP) is traded on NASDAQ Exchange in USA. It is located in One ADP Boulevard, Roseland, NJ, United States, 07068 and employs 63,000 people. Automatic Data is listed under Human Resource & Employment Services category by Fama And French industry classification. The company currently falls under 'Mega-Cap' category with a total capitalization of 102.59 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Automatic Data's market, we take the total number of its shares issued and multiply it by Automatic Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities. Automatic Data Processing runs under Professional Services sector within Industrials industry. The entity has 410.79 M outstanding shares of which 5.19 M shares are presently shorted by investors with about 2.22 days to cover. Automatic Data Processing has about 1.23 B in cash with 4.21 B of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.97.
Check Automatic Data Probability Of Bankruptcy
Ownership Allocation
Automatic Data Processing retains a total of 410.79 Million outstanding shares. The majority of Automatic Data Processing outstanding shares are owned by other corporate entities. These outside corporations are usually referred to as non-private investors looking to acquire positions in Automatic Data Processing to benefit from reduced commissions. Consequently, institutional investors are subject to a different set of regulations than regular investors in Automatic Data. Please pay attention to any change in the institutional holdings of Automatic Data Processing as this could imply that something significant has changed or is about to change at the company. Note that regardless of who owns the company, if the true value of the entity is less than the market is willing to pay for it, you may not be able to generate positive returns over time.
Check Automatic Ownership Details

Automatic Stock Price Odds Analysis

In regard to a normal probability distribution, the odds of Automatic Data jumping above the current price in 90 days from now is about 15.2%. The Automatic Data Processing probability density function shows the probability of Automatic Data stock to fall within a particular range of prices over 90 days. Considering the 90-day investment horizon Automatic Data has a beta of 0.3415. This suggests as returns on the market go up, Automatic Data average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Automatic Data Processing will be expected to be much smaller as well. Additionally, automatic Data Processing has an alpha of 0.0769, implying that it can generate a 0.0769 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
  Odds Below 249.74HorizonTargetOdds Above 249.74
84.57%90 days
 249.74 
15.20%
Based on a normal probability distribution, the odds of Automatic Data to move above the current price in 90 days from now is about 15.2 (This Automatic Data Processing probability density function shows the probability of Automatic Stock to fall within a particular range of prices over 90 days) .

Automatic Stock Institutional Holders

Institutional Holdings refers to the ownership stake in Automatic Data that is held by large financial organizations, pension funds or endowments. Institutions may purchase large blocks of Automatic Data's outstanding shares and can exert considerable influence upon its management. Institutional holders may also work to push the share price higher once they own the stock. Extensive social media coverage, TV shows, articles in high-profile magazines, and presentations at investor conferences help move the stock higher, increasing Automatic Data's value.
InstituionRecorded OnShares
Northern Trust Corp2023-12-31
5.7 M
Wellington Management Company Llp2023-12-31
5.5 M
Goldman Sachs Group Inc2023-12-31
4.8 M
State Farm Mutual Automobile Ins Co2023-12-31
3.7 M
Ameriprise Financial Inc2023-12-31
3.5 M
Capital Research Global Investors2023-12-31
3.5 M
Legal & General Group Plc2023-12-31
3.4 M
Amundi2023-12-31
3.2 M
Amvescap Plc.2023-12-31
3.2 M
Vanguard Group Inc2023-12-31
39.6 M
Blackrock Inc2023-12-31
33.3 M
View Automatic Data Diagnostics

Automatic Data Historical Income Statement

Automatic Data Processing Income Statement is one of the three primary financial statements used for reporting Automatic's overall financial performance over a current year or for a given accounting period. An Income Statement sometimes referred to as the statement of Automatic Data Processing revenue and expense. Automatic Data Income Statement primarily focuses on the company's revenues and expenses during a particular period.
At this time, Automatic Data's EBIT is relatively stable compared to the past year. As of 03/29/2024, EBITDA is likely to grow to about 6.3 B, while Research Development is likely to drop slightly above 591.6 M. View More Fundamentals

Automatic Stock Against Markets

Picking the right benchmark for Automatic Data stock is fundamental to making educated investment choices. Many naive investors compare their positions with the S&P 500 or with the Nasdaq. But these benchmarks are not all-inclusive and generally should be used only for large-capitalization equities or stock offerings from large companies. When the price of a selected benchmark declines in a down market, there may be an uptick in Automatic Data stock price where buyers come in believing the asset is cheap. The opposite is true when the market is bullish; so, accurately picking the benchmark for Automatic Data is critical whether you are bullish or bearish towards Automatic Data Processing at a given time. Please also check how Automatic Data's historical prices are related to one of the top price index indicators.

Be your own money manager

Our tools can tell you how much better you can do entering a position in Automatic Data without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

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Automatic Data Corporate Directors

Automatic Data corporate directors refer to members of an Automatic Data board of directors. The board of directors generally takes responsibility for the Automatic Data's affairs and long-term direction of the entity. A corporate director does not make decisions for the corporation on his own. As a member of the board of directors, she or he must function as a part of a group that makes decisions on behalf of the business only by the board of directors' meetings. To pass a resolution, a majority of Automatic Data's board members must vote for the resolution. The Automatic Data board of directors' duties also include the election, removal, and supervision of officers, including the adoption, amendment, and repeal of bylaws.
John JonesIndependent DirectorProfile
Richard ClarkIndependent DirectorProfile
William ReadyDirectorProfile
Michael GregoireDirectorProfile

How to buy Automatic Stock?

Before investing in Automatic Data, you must ensure you fully understand your financial goals and how diversified (or not) your overall investments are now. Then, after you clearly understand your investment objectives, consider investing in Automatic Data. To buy Automatic Data stock, you can follow these steps:
  • Choose a brokerage firm: You need to select a brokerage firm to buy shares of Automatic Data. Some popular options include Charles Schwab, Fidelity, TD Ameritrade, and Robinhood.
  • Open an account: Once you have chosen a brokerage firm, you will need to open an account. You will be required to provide personal information, such as your name, address, and Social Security number.
  • Fund your account: You will need to deposit funds into your brokerage account to purchase Automatic Data stock. You can do this by transferring funds from your bank account or other investment accounts.
  • Place your order: Once you have located Automatic Data Processing stock in your brokerage account, you can place your order to buy it. You will need to specify the number of shares you want to buy and the price you are willing to pay.
  • Monitor your investment: After you have purchased Automatic Data Processing stock, you should monitor your investment to track its performance and make informed decisions about buying, selling, or holding the stock
It's important to note that investing in stocks, such as Automatic Data Processing, carries risks, and you should carefully consider your investment goals and risk tolerance before making any investment decisions. Also, remember various factors, including economic indicators, change in net worth, political events, company-specific news, and investor sentiment, can influence the stock market. These factors can cause fluctuations in stock prices and lead to market volatility affecting your buy or sell decision. However, volatility can also present opportunities for investors to make gains by buying stocks when prices are low and selling when they are high. It's important for investors to have a long-term perspective and a well-diversified portfolio to manage the impact of stock market volatility on their investments. For more information on how to buy Automatic Stock please use our How to Invest in Automatic Data guide.

Already Invested in Automatic Data Processing?

The danger of trading Automatic Data Processing is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Automatic Data is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Automatic Data. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Automatic Data Processing is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..

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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.