Automatic Data Processing Stock Cash And Equivalents
| 0HJI Stock | 313.73 1.55 0.50% |
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 And Equivalents |
Automatic Data Processing Company Cash And Equivalents Analysis
Automatic Data's Cash or Cash Equivalents are the most liquid of all assets found on the company's balance sheet. It is used in calculating many of the firm's liquidity ratios and is a good indicator of the overall financial health of a company. Companies with a lot of cash are usually attractive takeover targets. Cash Equivalents are balance sheet items that are typically reported using currency printed on notes.
Cash equivalents represent current assets that are easily convertible to cash such as short term bonds, savings account, money market funds, or certificate of deposits (CDs). One of the important consideration companies make when classifying assets as cash equivalent is that investments they report on their balance sheets under current assets should have almost no risk of change in value over the next few months (usually three months).
| Competition |
In accordance with the recently published financial statements, Automatic Data Processing has 0.0 in Cash And Equivalents. 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 and equivalents for all United Kingdom stocks is 100.0% higher than that of the company.
Automatic Cash And Equivalents 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 Cash And Equivalents 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 cash and equivalents category among its peers.
Automatic Fundamentals
| Return On Equity | 0.84 | ||||
| Return On Asset | 0.0546 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.26 % | ||||
| Current Valuation | 129.59 B | ||||
| Shares Outstanding | 437.73 M | ||||
| Shares Owned By Insiders | 0.40 % | ||||
| Shares Owned By Institutions | 84.58 % | ||||
| Price To Sales | 6.80 X | ||||
| Revenue | 19.2 B | ||||
| Gross Profit | 9.6 B | ||||
| EBITDA | 5.58 B | ||||
| Net Income | 3.75 B | ||||
| Total Debt | 3.8 B | ||||
| Book Value Per Share | 12.48 X | ||||
| Cash Flow From Operations | 4.16 B | ||||
| Earnings Per Share | 6.77 X | ||||
| Number Of Employees | 64 K | ||||
| Beta | 0.81 | ||||
| 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 | 5.74 |
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.