Automatic Data Processing Stock Beta
| ADP Stock | EUR 289.95 1.70 0.59% |
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 Beta Analysis
Automatic Data's Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.
Current Automatic Data Beta | 0.83 |
Most of Automatic Data's fundamental indicators, such as Beta, 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, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.
| Competition |
In accordance with the recently published financial statements, Automatic Data Processing has a Beta of 0.8285. This is 39.53% lower than that of the Industrials sector and about the same as Business Services (which currently averages 0.82) industry. The beta for all Germany stocks is notably lower than that of the firm.
Automatic Beta 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 Beta 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 beta category among its peers.
As returns on the market increase, Automatic Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Automatic Data is expected to be smaller as well.
Automatic Fundamentals
| Return On Equity | 0.78 | |||
| Return On Asset | 0.0458 | |||
| Profit Margin | 0.18 % | |||
| Operating Margin | 0.24 % | |||
| Current Valuation | 104.54 B | |||
| Shares Outstanding | 414.35 M | |||
| Shares Owned By Insiders | 0.11 % | |||
| Shares Owned By Institutions | 83.70 % | |||
| Price To Earning | 28.24 X | |||
| Price To Book | 41.97 X | |||
| Price To Sales | 5.97 X | |||
| Revenue | 16.05 B | |||
| Gross Profit | 7.45 B | |||
| EBITDA | 4.4 B | |||
| Net Income | 2.95 B | |||
| Cash And Equivalents | 1.95 B | |||
| Cash Per Share | 4.49 X | |||
| Total Debt | 2.99 B | |||
| Debt To Equity | 41.90 % | |||
| Current Ratio | 1.05 X | |||
| Book Value Per Share | 7.21 X | |||
| Cash Flow From Operations | 3.1 B | |||
| Earnings Per Share | 7.08 X | |||
| Price To Earnings To Growth | 2.95 X | |||
| Target Price | 210.81 | |||
| Number Of Employees | 60 K | |||
| Beta | 0.83 | |||
| Market Capitalization | 85.75 B | |||
| Total Asset | 63.07 B | |||
| Z Score | 16.8 | |||
| Annual Yield | 0.02 % | |||
| Five Year Return | 1.86 % | |||
| 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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Additional Information and Resources on Investing in Automatic Stock
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 board of governors. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.