Automatic Data Processing Stock Profit Margin
| 0HJI Stock | 307.45 3.41 1.12% |
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 | Profit Margin |
Automatic Data Processing Company Profit Margin Analysis
Automatic Data's Profit Margin measures overall efficiency of a company and shows its ability to withstand competition as well as defend against adverse conditions such as rising costs, falling prices, decline in sales or management distress. Profit margin tells investors how well the company executes on its overall pricing strategies as well as how effective the company in controlling its costs.
Current Automatic Data Profit Margin | 0.20 % |
Most of Automatic Data's fundamental indicators, such as Profit Margin, 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.
In a nutshell, Profit Margin indicator shows the amount of money the company makes from total sales or revenue. It can provide a good insight into companies in the same sector, as well as help to identify trends of a company from year to year.
| Competition |
Based on the latest financial disclosure, Automatic Data Processing has a Profit Margin of 0.1972%. This is 79.67% lower than that of the Commercial Services & Supplies sector and significantly higher than that of the Industrials industry. The profit margin for all United Kingdom stocks is 115.53% lower than that of the firm.
Automatic Profit Margin 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 Profit Margin 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 profit margin 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 | 125.94 B | |||
| Shares Outstanding | 437.73 M | |||
| Shares Owned By Insiders | 0.12 % | |||
| Shares Owned By Institutions | 84.42 % | |||
| Price To Sales | 6.73 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.