Automatic Data Processing Stock Cash Per Share
| 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.
Automatic | Cash Per Share |
Automatic Data Processing Company Cash Per Share Analysis
Automatic Data's Cash per Share is a ratio of current cash on hands or in the banks of the company to a total number of shares outstanding. It is used to determine a firm's liquidity and is a good indicator of the overall financial health of a company. Value investors often compare this ratio to the current stock quote, and if it exceeds the stock price they would invest in it.
Companies with high Cash per Share ratio will be considered as an attractive investment by most investors. In most industries if you can single out an equity instrument trading below its cash per share value, you have a bargain and should consider buying it. Finding the stocks traded below their cash value, therefore, can be a good starting point for investors using strategies based on fundamentals.
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Automatic Common Stock Shares Outstanding
Common Stock Shares Outstanding |
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In accordance with the recently published financial statements, Automatic Data Processing has a Cash Per Share of 0.0 times. This is 100.0% lower than that of the Commercial Services & Supplies sector and about the same as Industrials (which currently averages 0.0) industry. The cash per share for all United Kingdom stocks is 100.0% higher than that of the company.
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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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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 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.