Automatic Data Net Worth

Automatic Data Net Worth Analysis

Automatic Data Target Price Consensus

Automatic Data Target Price Projection

Automatic Data's current and average target prices are 243.07 and 259.93, respectively. The current price of Automatic Data is the price at which Automatic Data Processing is currently trading. On the other hand, Automatic Data's target price is what analysts think the stock is worth or could sell for in the future. The more significant the discrepancy between the two prices, the more it stimulates investors to act.Note that most analysts generally publish their price targets in research reports on specific companies, along with recommendations for the company's stock.Although price targets are often quoted in the financial news media, there could be a delay between the publication of the latest analyst outlook on Automatic Data Processing and the information provided on this page.

Know Automatic Data's Top Institutional Investors

Note, although Automatic Data's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Follow Automatic Data's market capitalization trends

The company currently falls under 'Large-Cap' category with a total capitalization of 99.85 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.

Project Automatic Data's profitablity

The company has Net Profit Margin of 0.19 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.26 %, which entails that for every 100 dollars of revenue, it generated $0.26 of operating income.

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Evaluate Automatic Data's management efficiency

Automatic Data Processing has Return on Asset of 0.0532 % which means that on every $100 spent on assets, it made $0.0532 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.9738 %, implying that it generated $0.9738 on every 100 dollars invested. Automatic Data's management efficiency ratios could be used to measure how well Automatic Data manages its routine affairs as well as how well it operates its assets and liabilities. As of 04/28/2024, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.52. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 04/28/2024, Liabilities And Stockholders Equity is likely to grow to about 61.5 B, while Non Current Liabilities Total is likely to drop slightly above 4.8 B.

Automatic Data Corporate Filings

Automatic Data time-series forecasting models is one of many Automatic Data's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Automatic Data's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Automatic Data Earnings Estimation Breakdown

The calculation of Automatic Data's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of Automatic Data is estimated to be 2.78 with the future projection ranging from a low of 2.68 to a high of 2.92. Please be aware that this consensus of annual earnings estimates for Automatic Data Processing is based on EPS before non-recurring items and includes expenses related to employee stock options.

Automatic Data Earnings Projection Consensus

Automatic Data Earnings History

Earnings estimate consensus by Automatic Data Processing analysts from Wall Street is used by the market to judge Automatic Data's stock performance. Investors also use these earnings estimates to evaluate and project the stock performance into the future in order to make their investment decisions. However, we recommend analyzing not only Automatic Data's upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods. At this time, Automatic Data's Retained Earnings are relatively stable compared to the past year. As of 04/28/2024, Earnings Yield is likely to grow to 0.06, while Retained Earnings Total Equity is likely to drop slightly above 17.1 B. As of 04/28/2024, Common Stock Shares Outstanding is likely to grow to about 434.3 M. Also, Net Income Applicable To Common Shares is likely to grow to about 4.1 B.

Hype Prediction Low Estimated High 242.10 242.96 243.82 Details

Intrinsic Valuation Low Real High 218.76 252.71 253.57 Details

Naive Forecast Low Next High 243.66 244.52 245.38 Details

21 Analysts Consensus Low Target High 236.54 259.93 288.52 Details

Please note, it is not enough to conduct a financial or market analysis of a single entity such as Automatic Data. Your research has to be compared to or analyzed against Automatic Data's peers to derive any actionable benefits. When done correctly, Automatic Data's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Automatic Data Processing. Note that many institutional investors and large investment bankers can move markets due to the volume of Automatic assets they manage. They also follow analysts to some degree and often drive overall investor sentiments towards Automatic Data. With so many stockholders watching consensus numbers, the difference between actual and projected earnings is one of the most critical factors driving Automatic Data's stock price in the short term.

Automatic Data Earnings per Share Projection vs Actual

Actual Earning per Share of Automatic Data refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering Automatic Data Processing predict the company's earnings will be in the future. The higher the earnings per share of Automatic Data, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.

Automatic Data Estimated Months Earnings per Share

For an investor who is primarily interested in generating an income out of investing in entities such as Automatic Data, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of Automatic Data should always be considered in relation to other companies to make a more educated investment decision.

Automatic Quarterly Analyst Estimates and Surprise Metrics

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.

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.

How to buy Automatic Stock?

The net worth of Automatic Data Processing is the difference between its total assets and liabilities. Automatic Data's net worth represents the value of the company's equity or ownership interest. In other words, it is the amount of money that would be left over if all of Automatic Data's assets were sold and all of its debts were paid off. Net worth is sometimes referred to as shareholder's equity or book value. Automatic Data's net worth can be used as a measure of its financial health and stability which can help investors to decide if Automatic Data is a good investment. It is also essential in determining the company's creditworthiness and ability to secure financing before investing in Automatic Data Processing stock.

Already Invested in Automatic Data Processing?

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:

How To Invest In Automatic Details

Is Automatic Stock a good investment? Details

What is Automatic Data's Net Worth? Details

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