Automatic Data Company Insiders

Automatic Data's latest congressional trading

Automatic Data Management Team Effectiveness

The company has Return on Asset of 0.0557 % which means that on every $100 spent on assets, it made $0.0557 of profit. This is way below average. In the same way, it shows a return on shareholders' equity (ROE) of 0.7629 %, implying that it generated $0.7629 on every 100 dollars invested. 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. As of 07/26/2025, Return On Tangible Assets is likely to grow to 0.1. Also, Return On Capital Employed is likely to grow to 0.51. At this time, Automatic Data's Total Current Liabilities is relatively stable compared to the past year. As of 07/26/2025, Liabilities And Stockholders Equity is likely to grow to about 65.6 B, while Non Current Liabilities Total is likely to drop slightly above 4.8 B. As of 07/26/2025, Common Stock Shares Outstanding is likely to grow to about 431.7 M. Also, Net Income Applicable To Common Shares is likely to grow to about 4.1 B

Automatic Data Workforce Comparison

Automatic Data Profit Margins

The company has Net Profit Margin of 0.2 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.3 %, which entails that for every 100 dollars of revenue, it generated $0.3 of operating income.

Automatic Data Insider Trading History

Automatic Data Notable Stakeholders

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.