Automatic Data Processing Stock Working Capital
ADPR34 Stock | BRL 76.96 0.40 0.52% |
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 Working Capital Analysis
Automatic Data's Working Capital is a measure of company efficiency and operating liquidity. The working capital is usually calculated by subtracting Current Liabilities from Current Assets. It is an important indicator of the firm ability to continue its normal operations without additional debt obligations. .
More About Working Capital | All Equity Analysis
Working Capital | = | Current Assets | - | Current Liabilities |
Working Capital can be positive or negative, depending on how much of current debt the company is carrying on its balance sheet. In general terms, companies that have a lot of working capital will experience more growth in the near future since they can expand and improve their operations using existing resources. On the other hand, companies with small or negative working capital may lack the funds necessary for growth or future operation. Working Capital also shows if the company has sufficient liquid resources to satisfy short-term liabilities and operational expenses.
Competition |
In accordance with the company's disclosures, Automatic Data Processing has a Working Capital of 0.0. This is 100.0% lower than that of the Industrials sector and about the same as Staffing & Employment Services (which currently averages 0.0) industry. The working capital for all Brazil stocks is 100.0% higher than that of the company.
Automatic Working Capital 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 Working Capital 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 working capital 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.