Automatic Data Processing Stock Today
| ADP Stock | USD 250.10 3.02 1.19% |
PerformanceWeakest
| Odds Of DistressLow
|
Automatic Data is selling at 250.10 as of the 24th of November 2025; that is 1.19 percent decrease since the beginning of the trading day. The stock's last reported lowest price was 248.33. Automatic Data has less than a 9 % chance of experiencing financial distress in the next few years, but has generated negative returns over the last 90 days. The performance scores are derived for the period starting the 26th of August 2025 and ending today, the 24th of November 2025. Click here to learn more.
Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. Automatic Data operates under Staffing Employment Services classification in the United States and is traded on NASDAQ Exchange. The company has 404.45 M outstanding shares of which 7.42 M shares are presently shorted by investors with about 3.99 days to cover. More on Automatic Data Processing
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Automatic Stock Highlights
| CEO and President and Director | Carlos Rodriguez |
| Thematic Idea | Data Storage (View all Themes) |
| Business Concentration | Data Storage, Industrials, Professional Services, Staffing & Employment Services, Industrials (View all Sectors) |
Automatic Data Processing (ADP) is traded on NASDAQ Exchange in USA and employs 67,000 people. The company currently falls under 'Mega-Cap' category with a total capitalization of 102.54 B. Automatic Data Processing runs under Professional Services sector within Industrials industry. The entity has 404.45 M outstanding shares of which 7.42 M shares are presently shorted by investors with about 3.99 days to cover.
Automatic Data Processing has about 1.23 B in cash with 4.94 B of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 2.97.
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Ownership AllocationAutomatic Data holds a total of 404.45 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.
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Automatic Data Processing Risk Profiles
Investors will always prefer to have the highest possible return on investment while minimizing volatility. Automatic Data market risk premium is the additional return an investor will receive from holding Automatic Data long position in a well-diversified portfolio.
| Mean Deviation | 0.7614 | |||
| Standard Deviation | 1.16 | |||
| Variance | 1.36 | |||
| Risk Adjusted Performance | (0.16) |
Automatic Stock Against Markets
Automatic Data Corporate Management
| M Heron | Managing Operations | Profile | |
| David Kwon | Chief VP | Profile | |
| James Sperduto | Retirement Business | Profile | |
| Max Li | Global Officer | Profile | |
| Brock Albinson | Principal Accounting Officer and Corporate Controller | Profile |
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The danger of trading Automatic Data Processing is mainly related to its market volatility and Company specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Automatic Data is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Automatic Data. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Automatic Data Processing is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
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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.