Donald Weinstein - Automatic Data Co Technology

ADP Stock  EUR 223.70  2.80  1.27%   

Insider

Donald Weinstein is Co Technology of Automatic Data Processing
Age 54
Phone973 974 5000
Webhttps://www.adp.com

Donald Weinstein Latest Insider Activity

Tracking and analyzing the buying and selling activities of Donald Weinstein against Automatic Data stock is an integral part of due diligence when investing in Automatic Data. Donald Weinstein insider activity provides valuable insight into whether Automatic Data is net buyers or sellers over its current business cycle. Note, Automatic Data insiders must abide by specific rules, including filing SEC forms every time they buy or sell Automatic Data'sshares to prevent insider trading or benefiting illegally from material non-public information that their positions give them access to.

Automatic Data Management Efficiency

The company has return on total asset (ROA) of 0.0458 % which means that it generated a profit of $0.0458 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.783 %, meaning that it generated $0.783 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 company has accumulated 2.99 B in total debt with debt to equity ratio (D/E) of 41.9, indicating the company may have difficulties to generate enough cash to satisfy its financial obligations. Automatic Data Processing has a current ratio of 1.03, suggesting that it is in a questionable position to pay out its financial obligations in time and when they become due. Debt can assist Automatic Data until it has trouble settling it off, either with new capital or with free cash flow. So, Automatic Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Automatic Data Processing sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Automatic to invest in growth at high rates of return. When we think about Automatic Data's use of debt, we should always consider it together with cash and equity.

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Automatic Data Processing, Inc. provides business process outsourcing services worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOM DATA is traded on Frankfurt Stock Exchange in Germany. Automatic Data Processing (ADP) is traded on Frankfurt Exchange in Germany and employs 60,000 people.

Management Performance

Automatic Data Processing Leadership Team

Elected by the shareholders, the Automatic Data's board of directors comprises two types of representatives: Automatic Data inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Automatic. The board's role is to monitor Automatic Data's management team and ensure that shareholders' interests are well served. Automatic Data's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Automatic Data's outside directors are responsible for providing unbiased perspectives on the board's policies.
Christian Greyenbuhl, VP Relation
David Kwon, Chief VP
Carlos Rodriguez, CEO Director
Don McGuire, Chief Officer
Vipul Nagrath, Global Officer
Michael Bonarti, Chief Officer
Maria Black, President
Donald Weinstein, Co Technology
Brock Albinson, Co Officer
John Ayala, Chief Officer

Automatic Stock Performance Indicators

The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Automatic Data a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.

Currently Active Assets on Macroaxis

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 tightly coupled with the direction of predictive economic indicators such as signals in board of governors.
You can also try the Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.

Complementary Tools for Automatic Stock analysis

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.
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Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.