Automatic Data (Germany) Analysis
| ADP Stock | EUR 291.10 1.65 0.56% |
Automatic Data Processing is undervalued with Real Value of 330.28 and Hype Value of 292.75. The main objective of Automatic Data stock analysis is to determine its intrinsic value, which is an estimate of what Automatic Data Processing is worth, separate from its market price. There are two main types of Automatic Data's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Automatic Data's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Automatic Data's stock to identify patterns and trends that may indicate its future price movements.
The Automatic Data stock is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Automatic Data's ongoing operational relationships across important fundamental and technical indicators.
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Automatic Stock Analysis Notes
About 84.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.95. Automatic Data Processing recorded earning per share (EPS) of 7.08. The entity last dividend was issued on the 9th of March 2023. 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 Carlos Rodriguez at 973 974 5000 or go to https://www.adp.com.Automatic Data Processing Investment Alerts
| Over 84.0% of the company shares are held by institutions such as insurance companies |
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 85.75 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 0.18 %, 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 0.24 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.24. Technical Drivers
As of the 29th of November, Automatic Data shows the Downside Deviation of 0.7834, mean deviation of 0.8242, and Risk Adjusted Performance of 0.2196. 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 information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Automatic Data Processing is priced correctly, providing market reflects its regular price of 291.1 per share.Automatic Data Processing Price Movement Analysis
The output start index for this execution was nine with a total number of output elements of fifty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Automatic Data middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Automatic Data Processing. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
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 BondUS053015AE30 | View | |
| AUTOMATIC DATA PROCESSING Corp BondUS053015AG87 | View | |
| MPLX LP 52 Corp BondUS55336VAL45 | 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.About Automatic Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Automatic Data prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Automatic shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Automatic Data. By using and applying Automatic Stock analysis, traders can create a robust methodology for identifying Automatic entry and exit points for their positions.
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.
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As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Automatic Data to your portfolios without increasing risk or reducing expected return.Did you try this?
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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.
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