Automatic Data Processing Stock Return On Asset
| ADPR34 Stock | BRL 73.80 0.72 0.99% |
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 Return On Asset Analysis
Automatic Data's Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Current Automatic Data Return On Asset | 0.0458 |
Most of Automatic Data's fundamental indicators, such as Return On Asset, 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.
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
| Competition |
Based on the latest financial disclosure, Automatic Data Processing has a Return On Asset of 0.0458. This is 108.98% lower than that of the Industrials sector and significantly higher than that of the Staffing & Employment Services industry. The return on asset for all Brazil stocks is 132.71% lower than that of the firm.
Automatic Return On Asset 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 Return On Asset 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 rated below average in return on asset 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.
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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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.