Automatic Data Processing Stock Performance
ADP Stock | USD 246.84 0.53 0.22% |
Automatic Data has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0798, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Automatic Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Automatic Data is expected to be smaller as well. Automatic Data Processing right now shows a risk of 0.85%. Please confirm Automatic Data Processing maximum drawdown, accumulation distribution, relative strength index, as well as the relationship between the semi variance and day typical price , to decide if Automatic Data Processing will be following its price patterns.
Risk-Adjusted Performance
7 of 100
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Compared to the overall equity markets, risk-adjusted returns on investments in Automatic Data Processing are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. Even with relatively invariable fundamental indicators, Automatic Data is not utilizing all of its potentials. The recent stock price agitation, may contribute to short-term losses for the retail investors. ...more
Automatic Data dividend paid on 1st of April 2024 | 04/01/2024 |
Begin Period Cash Flow | 22.8 B | |
Total Cashflows From Investing Activities | -2.5 B |
Automatic |
Automatic Data Relative Risk vs. Return Landscape
If you would invest 23,536 in Automatic Data Processing on January 25, 2024 and sell it today you would earn a total of 1,148 from holding Automatic Data Processing or generate 4.88% return on investment over 90 days. Automatic Data Processing is generating 0.0792% of daily returns assuming volatility of 0.8464% on return distribution over 90 days investment horizon. In other words, 7% of stocks are less volatile than Automatic, and above 99% of all equities are expected to generate higher returns over the next 90 days. Expected Return |
Risk |
Automatic Data Market Risk Analysis
Today, many novice investors tend to focus exclusively on investment returns with little concern for Automatic Data's investment risk. Standard deviation is the most common way to measure market volatility of stocks, such as Automatic Data Processing, and traders can use it to determine the average amount a Automatic Data's price has deviated from the expected return over a period of time. It is calculated by determining the expected price for the established period and then subtracting this figure from each price point. The differences are then squared, summed, and averaged to produce the variance.
Sharpe Ratio = 0.0935
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Estimated Market Risk
0.85 actual daily | 7 93% of assets are more volatile |
Expected Return
0.08 actual daily | 1 99% of assets have higher returns |
Risk-Adjusted Return
0.09 actual daily | 7 93% of assets perform better |
Based on monthly moving average Automatic Data is performing at about 7% 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.
Automatic Data Fundamentals Growth
Automatic Stock prices reflect investors' perceptions of the future prospects and financial health of Automatic Data, and Automatic Data fundamentals are critical determinants of its market performance. Overall, investors pay close attention to revenue and earnings growth, profit margins, and debt levels. These fundamentals can have a significant impact on Automatic Stock performance.
Return On Equity | 0.97 | ||||
Return On Asset | 0.0532 | ||||
Profit Margin | 0.19 % | ||||
Operating Margin | 0.26 % | ||||
Current Valuation | 101.72 B | ||||
Shares Outstanding | 410.79 M | ||||
Price To Earning | 35.60 X | ||||
Price To Book | 23.20 X | ||||
Price To Sales | 5.39 X | ||||
Revenue | 17.2 B | ||||
EBITDA | 5.26 B | ||||
Cash And Equivalents | 1.23 B | ||||
Cash Per Share | 2.97 X | ||||
Total Debt | 3.34 B | ||||
Debt To Equity | 1.40 % | ||||
Book Value Per Share | 10.52 X | ||||
Cash Flow From Operations | 4.21 B | ||||
Earnings Per Share | 8.59 X | ||||
Total Asset | 50.97 B | ||||
Retained Earnings | 22.12 B | ||||
Current Asset | 3.68 B | ||||
Current Liabilities | 2 B | ||||
About Automatic Data Performance
To evaluate Automatic Data Processing Stock as a possible investment, you need to clearly understand its upside potential, downside risk, and overall future performance outlook. You may be satisfied when Automatic Data generates a 15% return over the last few months, but what if the market is generating 25% over the same period? In this case, it makes sense to compare Automatic Stock's performance with different market indexes, such as the Dow or NASDAQ Composite. These indexes can act as benchmarks that will help you to understand Automatic Data Processing market performance in a much more refined way. The Macroaxis performance score is an integer between 0 and 100 that represents Automatic's market performance from a risk-adjusted return perspective. Generally speaking, the higher the score, the better is overall performance as compared to other investors. The score is normalized against the average investing universe (the best we can interpret from the data available). Within this methodology, scores of individual equity instruments will always be inferior to the scores of portfolios of equities as portfolios typically diversify a lot of unsystematic risks away. The formula to derive the Macroaxis score bases on multiple unequally-weighted factors. For more information, refer to our portfolio performance evaluation section.
Please also refer to our technical analysis and fundamental analysis pages.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. It employs 60000 people.Things to note about Automatic Data Processing performance evaluation
Checking the ongoing alerts about Automatic Data for important developments is a great way to find new opportunities for your next move. Stock alerts and notifications screener for Automatic Data Processing help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.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. | |
Over 84.0% of Automatic Data shares are held by institutions such as insurance companies | |
On 1st of April 2024 Automatic Data paid $ 1.4 per share dividend to its current shareholders |
- Analyzing Automatic Data's financial statements, including its income statement, balance sheet, and cash flow statement, helps in understanding its overall financial health and growth potential.
- Getting a closer look at valuation ratios like price-to-earnings (P/E) ratio, price-to-sales (P/S) ratio, and price-to-book (P/B) ratio help in understanding whether Automatic Data's stock is overvalued or undervalued compared to its peers.
- Examining Automatic Data's industry or sector and how it is performing can give you an idea of its growth potential and how it is positioned relative to its competitors.
- Evaluating Automatic Data's management team can have a significant impact on its success or failure. Reviewing the track record and experience of Automatic Data's management team can help you assess the Company's leadership.
- Pay attention to analyst opinions and ratings of Automatic Data's stock. These opinions can provide insight into Automatic Data's potential for growth and whether the stock is currently undervalued or overvalued.
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.
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.
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.