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 303.26 and 296.88, 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 'Mega-Cap' category with a total capitalization of 122.47 B.

Project Automatic Data's profitablity

The company has Net Profit Margin of 0.2 %, 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.

Earnings View

Profitability View

Liquidity View

Fundamentals View

Competition View

Evaluate Automatic Data's management efficiency

Automatic Data Processing has Return on Asset of 0.0654 % which means that on every $100 spent on assets, it made $0.0654 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.8726 %, implying that it generated $0.8726 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 01/30/2025, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.51. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 01/30/2025, Liabilities And Stockholders Equity is likely to grow to about 65.6 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 3.04 with the future projection ranging from a low of 2.8 to a high of 3.18. 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 01/30/2025, 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 01/30/2025, Common Stock Shares Outstanding is likely to grow to about 431.7 M. Also, Net Income Applicable To Common Shares is likely to grow to about 4.1 B.

Hype Prediction Low Estimated High 301.78 302.87 303.96 Details

Intrinsic Valuation Low Real High 297.24 298.33 333.49 Details

Naive Forecast Low Next High 304.40 305.49 306.58 Details

19 Analysts Consensus Low Target High 270.16 296.88 329.54 Details

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

Automatic Data Corporate Management

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