Automatic Data Processing Stock Debt To Equity
| 0HJI Stock | 307.32 0.27 0.09% |
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 | Debt To Equity |
Automatic Data Processing Company Debt To Equity Analysis
Automatic Data's Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
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Automatic Total Stockholder Equity
Total Stockholder Equity |
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According to the company disclosure, Automatic Data Processing has a Debt To Equity of 0.0%. 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 debt to equity for all United Kingdom stocks is 100.0% higher than that of the company.
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Automatic Fundamentals
| Return On Equity | 0.87 | ||||
| Return On Asset | 0.0654 | ||||
| Profit Margin | 0.20 % | ||||
| Operating Margin | 0.26 % | ||||
| Current Valuation | 127.9 B | ||||
| Shares Outstanding | 437.73 M | ||||
| Shares Owned By Insiders | 0.12 % | ||||
| Shares Owned By Institutions | 84.40 % | ||||
| Price To Sales | 6.80 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.