Automatic Data (Germany) Today
| ADP Stock | EUR 182.50 1.06 0.58% |
Performance Weak
| Odds Of Distress Low
|
Automatic Data currently maintains a market price of $182.50, with performance measured at an 0.58% increase on the day with an intraday range between $181.74 and $182.58. Automatic Data currently reflects 9% projected probability of financial distress, aligning with a relatively small probability. Automatic Data has delivered negative risk-adjusted returns over the past 90 trading days, reflecting weak risk-adjusted results. The performance scores are derived for the period from December 21, 2025 through March 21, 2026. The scores are based on performance observations within the time window. Values are drawn from observed market activity across periods. Learn more.
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Stock Highlights
Automatic Data Processing (ADP) is listed on Frankfurt Exchange in Germany. Automatic Data operates in the Human Resource & Employment Services space. The company is classified under the Professional Services sector. For market cap analysis, Automatic Data Processing is currently valued at 73.72 B and falls into the large-cap segment of human resource & employment services. Other size-related inputs worth noting are about 402.64 M shares outstanding, enterprise value near 75.61 B, and a workforce of about 67,000 people. The company has a beta of -0.2149. With a beta near 1, Automatic Data is expected to mirror market movements with minimal deviation in either direction. Automatic Data financial risk analysis Ownership Allocation The majority of Automatic Data's outstanding shares are owned by institutions. Institutional investors such as pension funds, mutual funds, and asset managers typically hold large positions as part of their investment mandates, managing money on behalf of clients or beneficiaries. As a result, they are subject to reporting requirements and oversight rules - such as 13F filings and position disclosure thresholds - that do not apply to individual retail investors. Institutions account for approximately 87% of Automatic Data's shares, with the remaining 13% held by retail investors. Check Automatic Ownership DetailsThis highlights section surfaces the most decision-relevant indicators surrounding Automatic Data Processing. This section works best as a professional summary layer before deeper work is done on fundamentals, sentiment, and volatility.
Notable Updates
| CEO President | Maria Black |
| President Sales | David Foskett |
| President Innovation | Sreenivasa Kutam |
| 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) |
Common Risk Profiles
Automatic Data's alpha captures excess return over the benchmark, while beta measures market sensitivity. Both are complemented by standard volatility measures in a comprehensive risk assessment.
| Mean Deviation | 1.46 | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.56 | |||
| Risk Adjusted Performance | -0.12 |
Automatic Data Processing Against Markets
Stock Analysis Notes
About 87.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.66. Automatic Data Processing recorded earnings per share (EPS) of 9.09. The company had its last dividend issued on the 13th of March 2026. Automatic Data Processing's financial profile includes $53.4 billion in Total Assets.Investor Insights and 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 |
Thematic Classifications
Themes linked to Automatic Data Processing are useful because they connect a single stock to a larger investable concept that can be researched and optimized as a group. The practical benefit is that investors can optimize around a trend, not just around one name that may or may not remain the best expression of that trend.
 | Data StorageData Storage |
Market Capitalization
For market cap analysis, Automatic Data Processing is currently valued at 73.72 B and falls into the large-cap segment of human resource & employment services. Other size-related inputs worth noting are about 402.64 M shares outstanding, enterprise value near 75.61 B, and a workforce of about 67,000 people.Profitability
Understanding Automatic Data's profitability goes beyond headline earnings. Margin durability, leverage, and capital needs all matter. Annual revenue is about 20.56 Billion. Comparing gross, operating, and net margins gives a fuller picture than any single figure.
The company has Profit Margin (PM) of 20.0 %, which may suggest that the company has competitive advantages supporting its margins. This is in the upper range for the industry. Similarly, it shows Operating Margin (OM) of 26.0 %, which means that the company is generating $26.0 of operating income per $100 of sales. Technical Drivers
According to pricing data from the 21st of March, Automatic Data trades at 182.50 per share. Quantitative signals reflect Risk Adjusted Performance of -0.12, mean deviation of 1.46, and Standard Deviation of 1.89. Volume-adjusted indicators are evaluated relative to historical ranges. Current technical signals are evaluated against industry dispersion.Automatic Data Processing Price Movement Analysis
Transformation |
This analysis covers sixty-one data points across the selected time horizon. Automatic Data Processing Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Automatic Data price patterns.
Outstanding Bonds
Automatic Data Processing may use bonds as part of its capital structure to fund operations, refinance liabilities, or support acquisitions and other long-duration investments. Maturity profile, refinancing windows, and coupon burden can all affect how resilient the capital structure looks in a weaker market.
| AUTOMATIC DATA PROCESSING Corp BondUS053015AF05 | View | |
| AUTOMATIC DATA PROCESSING Corp BondUS053015AG87 | View | |
| MPLX LP 52 Corp BondUS55336VAL45 | View | |
| Morgan Stanley 3591 Corp BondUS61744YAK47 | View | |
| Morgan Stanley 3971 Corp BondUS61744YAL20 | View | |
| Valero Energy Partners Corp BondUS91914JAA07 | View |
Predictive Daily Indicators
Intraday indicators for Automatic Data Processing suit investors who need a shorter decision cycle and tighter control over timing. They help with timing and trade management, but still need to match broader trend and volatility conditions.
Forecast Models
Forecasting applied to Automatic Data Processing learns from price structure, volatility patterns, and trend strength rather than commentary alone. Financial data rarely stays stable for long, so the model is best used as a probability tool, not a price promise.Stock Overview, Methodology & Data Sources
provides business process outsourcing services worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. Automatic Data employs 67,000 people. Headquarters are in One ADP Boulevard, Roseland, NJ, United States, 07068. Recent market snapshot indicates market cap 73.72 B, P/E 28.24. Automatic Data operates in Human Resource & Employment Services, Commercial & Professional Services, Industrials. The stock narrative ties operating metrics to how the market is pricing risk. Certain defensive traits may reduce sensitivity to broader macroeconomic fluctuations.
Methodology
Unless otherwise specified, financial data for Automatic Data Processing is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Automatic (DE:ADP) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs are aggregated from public filings and market reference sources and public institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain values may not reflect real-time changes. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Analyst Sources
Automatic Data Processing may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardBe your own money manager
Portfolio optimization matters because investors need a repeatable way to decide whether adding Automatic Data Processing improves expected return without taking on disproportionate risk. A stronger allocation process asks what the position adds to the portfolio, not just what it might do on its own.
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Automatic Data Corporate Management
Board and executive analysis for Automatic Data Processing is useful because governance quality can influence capital allocation, accountability, and long-term strategic consistency. This becomes more valuable when investors want to compare oversight quality across firms that may otherwise look financially similar.
| M Heron | Managing Operations | Profile | |
| Christian Greyenbuhl | VP Relation | Profile | |
| Jonathan Lehberger | Corporate Officer | Profile | |
| Matthew CFA | Vice Relations | Profile | |
| Samantha Orihuela | Chief Officer | Profile | |
| David Kwon | Chief VP | Profile | |
| Joseph DeSilva | Executive Operations | Profile |
More Resources for Automatic Stock Analysis
Understanding Automatic Data Processing starts with its core financial statements, trend data, and ratio analysis. Financial ratios help explain how results are produced and sustained. The dataset reflects Automatic Data's available reporting history.Automatic Data has a market cap of 73.72 B, operating margin of 26.28%, ROE of 73.84%. Trending Equities adds portfolio-level perspective. The portfolio structure is presented for analytical context. The view is constructed from recorded portfolio positions. The dataset reflects available inputs without directional implication. This reflects a position in Automatic Data Processing. It is distributed across the allocation. The allocation approach determines the relative weighting of each position. The content reflects structured data inputs rather than subjective analysis. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in inflation. With Automatic Data showing P/E 28.24 and ROE 73.84%, investors get more value when this analysis is combined with the diversification and construction tools below. Within the Industrials space, these metrics give the peer comparison tools below a concrete starting point for relative analysis. You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .