Automatic Data (Germany) Top Insiders

Automatic Data Management Team Effectiveness

The company has return on total asset (ROA) of 0.0471 % which means that it generated a profit of $0.0471 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.7384 %, meaning that it generated $0.7384 on every $100 dollars invested by stockholders. Automatic Data's management efficiency ratios could be used to measure how well Automatic Data manages its routine affairs as well as how well it operates its assets and liabilities. The current Total Assets is estimated to decrease to about 49 B. The Automatic Data's current Net Tangible Assets is estimated to increase to about (148.7 M)The current Common Stock Shares Outstanding is estimated to decrease to about 338.9 M. The current Net Income Applicable To Common Shares is estimated to decrease to about 2.4 BAutomatic Data holds a total of 402.64 Million outstanding shares. The majority of Automatic Data Processing outstanding shares are owned by other corporate entities. These outside corporations are usually referred to as non-private investors looking to acquire positions in Automatic Data Processing to benefit from reduced commissions. Consequently, institutional investors are subject to a different set of regulations than regular investors in Automatic Data. Please pay attention to any change in the institutional holdings of Automatic Data Processing as this could imply that something significant has changed or is about to change at the company. Please note that no matter how many assets the company secures, if the real value of the firm is less than the current market value, you may not be able to make money on it. Some institutional investors establish a significant position in stocks such as Automatic Data in order to find ways to drive up its value. Retail investors, on the other hand, need to know that institutional holders can own millions of shares of Automatic Data, and when they decide to sell, the stock will often sell-off, which may instantly impact shareholders' value. So, traders who get in early or near the beginning of the institutional investor's buying cycle could potentially generate profits.

Automatic Data Workforce Comparison

The company has Profit Margin (PM) of 0.2 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.26 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.26.

Automatic Data Processing Benchmark Summation

Automatic Data Notable Stakeholders

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The success or failure of an entity such as Automatic Data Processing often depends on how effective the management is. Automatic Data management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of Automatic management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the Automatic management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.

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.