Automatic Data (Germany) Today
| ADP Stock | EUR 206.25 0.75 0.36% |
PerformanceWeakest
| Odds Of DistressLow
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Automatic Data is trading at 206.25 as of the 2nd of February 2026. This is a 0.36 percent decrease since the beginning of the trading day. The stock's lowest day price was 203.75. 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 4th of November 2025 and ending today, the 2nd of February 2026. Click here to learn more.
Business Domain Commercial & Professional Services | Category Technology | Classification Industrials |
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. The company has 402.64 M outstanding shares. More on Automatic Data Processing
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Automatic Stock Highlights
Most reasonable investors view market volatility as an opportunity to invest at a favorable price or to sell short against a bearish trend. Automatic Data's investment highlights are automatically generated signals that are significant enough to either complement your investing judgment regarding Automatic Data or challenge it. These highlights can help you better understand the position you are entering and avoid costly mistakes.
ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary, Automatic Data's sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Automatic Data's managers, analysts, and investors.
Environment Score | Governance Score | Social Score |
| CEO President | Maria Black | ||||
| Thematic Idea | Data Storage (View all Themes) | ||||
| Business Concentration | Human Resource & Employment Services, Commercial & Professional Services, Industrials, Data Storage, Industrials, Professional Services, Business Services, Industrials (View all Sectors) | ||||
Automatic Data's financial strength is of vital concern to both outside investors and internal stakeholders. Efficiency and cost control are keys to Automatic Data's success, along with its ability to generate sufficient cash flow to pay bills, repay debt, and make a consistent year-to-year profit. | |||||
Debt LevelsAutomatic Data utilizes debt financing to potentially enhance returns on invested capital. The relationship between total debt and total assets provides valuable insight into Automatic Data's leverage profile, showing how much of Automatic Data's resources are funded through borrowing.
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Automatic Data Processing (ADP) is traded on Frankfurt Exchange in Germany and employs 67,000 people. Automatic Data is listed under Human Resource & Employment Services category by Fama And French industry classification. The company currently falls under 'Large-Cap' category with a current market capitalization of 84.93 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Automatic Data's market, we take the total number of its shares issued and multiply it by Automatic Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities. Automatic Data Processing classifies itself under Professional Services sector and is part of Industrials industry. The entity has 402.64 M outstanding shares.
Automatic Data Processing has accumulated about 1.95 B in cash with 4.94 B of positive cash flow from operations. This results in cash-per-share (CPS) ratio of 4.49.
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Ownership AllocationAutomatic 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.
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Automatic Data Historical Income Statement
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Automatic Stock Analysis Notes
About 87.0% of the company shares are held by institutions such as insurance companies. The company recorded earning per share (EPS) of 8.7. Automatic Data Processing last dividend was issued on the 13th of March 2026. 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. For more info on Automatic Data Processing please contact Maria Black at 973 974 5000 or go to https://www.adp.com.Automatic Data Quarterly Total Revenue |
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Automatic Data Processing Investment Alerts
| Automatic Data generated a negative expected return over the last 90 days | |
| Over 87.0% of the company shares are held by institutions such as insurance companies | |
| Latest headline from news.google.com: Automatic Data Processing Stock Quiet Outperformance, Loud Signals From Wall Street - AD HOC NEWS |
Automatic Data Thematic Classifications
In addition to having Automatic Data stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Data StorageData Storage |
Automatic Market Capitalization
The company currently falls under 'Large-Cap' category with a current market capitalization of 84.93 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Automatic Data's market, we take the total number of its shares issued and multiply it by Automatic Data's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Automatic Profitablity
Automatic Data's profitability indicators refer to fundamental financial ratios that showcase Automatic Data's ability to generate income relative to its revenue or operating costs. If, let's say, Automatic Data is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Automatic Data's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Automatic Data's profitability requires more research than a typical breakdown of Automatic Data's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
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. Management Efficiency
Automatic Data Processing 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)Leadership effectiveness at Automatic Data Processing is a strong indicator of its financial stability. We analyze various metrics to provide insights into the stock's investment viability.
Technical Drivers
As of the 2nd of February, Automatic Data shows the Risk Adjusted Performance of (0.13), standard deviation of 1.25, and Mean Deviation of 0.8987. Automatic Data Processing technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Automatic Data Processing mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if Automatic Data Processing is priced correctly, providing market reflects its regular price of 206.25 per share.Automatic Data Processing Price Movement Analysis
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The output start index for this execution was zero with a total number of output elements of sixty-one. Automatic Data Processing Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Automatic Data price patterns.
Automatic Data Outstanding Bonds
Automatic Data issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Automatic Data Processing uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Automatic bonds can be classified according to their maturity, which is the date when Automatic Data Processing has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
| AUTOMATIC DATA PROCESSING Corp BondUS053015AF05 | View | |
| AUTOMATIC DATA PROCESSING Corp BondUS053015AG87 | View |
Automatic Data Predictive Daily Indicators
Automatic Data intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Automatic Data stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Automatic Data Forecast Models
Automatic Data's time-series forecasting models are one of many Automatic Data's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Automatic Data's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.Be your own money manager
Our tools can tell you how much better you can do entering a position in Automatic Data without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.Did you try this?
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Automatic Data Corporate Management
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 | Profile | |
| Jonathan Lehberger | Corporate Officer | Profile | |
| Matthew CFA | Vice Relations | Profile | |
| David Kwon | Chief VP | Profile | |
| Joseph DeSilva | Executive Operations | Profile | |
| Don McGuire | Chief Officer | Profile |
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 closely tied with the direction of predictive economic indicators such as signals in industry. You can also try the Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.