Automatic Data Processing Stock Earnings Per Share
ADPR34 Stock | BRL 74.00 0.31 0.42% |
Automatic Data Processing fundamentals help investors to digest information that contributes to Automatic Data's financial success or failures. It also enables traders to predict the movement of Automatic Stock. The fundamental analysis module provides a way to measure Automatic Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Automatic Data stock.
Automatic |
Automatic Data Processing Company Earnings Per Share Analysis
Automatic Data's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.
Current Automatic Data Earnings Per Share | 1.63 X |
Most of Automatic Data's fundamental indicators, such as Earnings Per Share, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Automatic Data Processing is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
Competition |
According to the company disclosure, Automatic Data Processing has an Earnings Per Share of 1.63 times. This is 29.44% lower than that of the Industrials sector and significantly higher than that of the Staffing & Employment Services industry. The earnings per share for all Brazil stocks is 47.76% higher than that of the company.
Automatic Earnings Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Automatic Data's direct or indirect competition against its Earnings Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Automatic Data could also be used in its relative valuation, which is a method of valuing Automatic Data by comparing valuation metrics of similar companies.Automatic Data is currently under evaluation in earnings per share category among its peers.
Automatic Fundamentals
Return On Equity | 0.78 | |||
Return On Asset | 0.0458 | |||
Profit Margin | 0.18 % | |||
Operating Margin | 0.24 % | |||
Current Valuation | 586.65 B | |||
Shares Outstanding | 9.94 B | |||
Price To Earning | 31.55 X | |||
Price To Book | 42.41 X | |||
Price To Sales | 34.46 X | |||
Revenue | 16.05 B | |||
Gross Profit | 7.45 B | |||
EBITDA | 4.4 B | |||
Net Income | 2.95 B | |||
Cash And Equivalents | 1.61 B | |||
Cash Per Share | 1.88 X | |||
Total Debt | 2.99 B | |||
Debt To Equity | 0.41 % | |||
Current Ratio | 1.06 X | |||
Book Value Per Share | 3.60 X | |||
Cash Flow From Operations | 3.1 B | |||
Earnings Per Share | 1.63 X | |||
Price To Earnings To Growth | 2.98 X | |||
Number Of Employees | 60 K | |||
Beta | 0.83 | |||
Market Capitalization | 495.21 B | |||
Total Asset | 63.07 B | |||
Z Score | 99.0 | |||
Annual Yield | 0.02 % | |||
Net Asset | 63.07 B | |||
Last Dividend Paid | 4.37 |
About Automatic Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Automatic Data Processing's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Automatic Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Automatic Data Processing based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Automatic Stock
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 closely tied with the direction of predictive economic indicators such as signals in nation. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.