Automatic Data Processing Stock Shares Outstanding
| 0HJI Stock | 307.50 0.18 0.06% |
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.
Common Stock Shares Outstanding is likely to drop to about 356.4 M in 2024. Automatic | Shares Outstanding |
Automatic Data Processing Company Shares Outstanding Analysis
Automatic Data's Outstanding Shares are shares of common stock of a public company that were purchased by investors after they were authorized and issued by the company to the public. Outstanding Shares are typically reported on fully diluted basis, including exotic instruments such as options, or convertibles bonds.
Current Automatic Data Shares Outstanding | 437.73 M |
Most of Automatic Data's fundamental indicators, such as Shares Outstanding, 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.
Outstanding shares that are stated on company Balance Sheet are used when calculating many important valuation and performance indicators including Return on Equity, Market Cap, EPS and many others.
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Automatic Common Stock Shares Outstanding
Common Stock Shares Outstanding |
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Based on the latest financial disclosure, Automatic Data Processing has 437.73 M of shares currently outstending. This is 200.34% higher than that of the Commercial Services & Supplies sector and significantly higher than that of the Industrials industry. The shares outstanding for all United Kingdom stocks is 23.45% higher than that of the company.
Automatic Shares Outstanding 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 Shares Outstanding 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 shares outstanding category among its peers.
Automatic Fundamentals
| Return On Equity | 0.87 | ||||
| Return On Asset | 0.0654 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.26 % | ||||
| Current Valuation | 128.12 B | ||||
| Shares Outstanding | 437.73 M | ||||
| Shares Owned By Insiders | 0.12 % | ||||
| Shares Owned By Institutions | 84.40 % | ||||
| Price To Sales | 6.81 X | ||||
| Revenue | 19.2 B | ||||
| Gross Profit | 8.51 B | ||||
| EBITDA | 5.58 B | ||||
| Net Income | 3.75 B | ||||
| Total Debt | 3.8 B | ||||
| Book Value Per Share | 13.12 X | ||||
| Cash Flow From Operations | 4.16 B | ||||
| Earnings Per Share | 6.77 X | ||||
| Number Of Employees | 64 K | ||||
| Beta | 0.8 | ||||
| Market Capitalization | 104.43 B | ||||
| Total Asset | 54.36 B | ||||
| Retained Earnings | 23.62 B | ||||
| Annual Yield | 0.0002 % | ||||
| Net Asset | 54.36 B | ||||
| Last Dividend Paid | 5.6 |
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.
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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.