Automatic Data (Germany) Analysis
| ADP Stock | EUR 227.65 4.75 2.13% |
Automatic Data's financial leverage is the degree to which the firm utilizes its fixed-income securities and uses equity to finance projects. Companies with high leverage are usually considered to be at financial risk. Automatic Data's financial risk is the risk to Automatic Data stockholders that is caused by an increase in debt. In other words, with a high degree of financial leverage come high-interest payments, which usually reduce Earnings Per Share (EPS).
Given that Automatic Data's debt-to-equity ratio measures a Company's obligations relative to the value of its net assets, it is usually used by traders to estimate the extent to which Automatic Data is acquiring new debt as a mechanism of leveraging its assets. A high debt-to-equity ratio is generally associated with increased risk, implying that it has been aggressive in financing its growth with debt. Another way to look at debt-to-equity ratios is to compare the overall debt load of Automatic Data to its assets or equity, showing how much of the company assets belong to shareholders vs. creditors. If shareholders own more assets, Automatic Data is said to be less leveraged. If creditors hold a majority of Automatic Data's assets, the Company is said to be highly leveraged.
Automatic Data Processing is undervalued with Real Value of 261.05 and Hype Value of 227.65. 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 Munich Exchange, with the market opening at 08:00:00 and closing at 20:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Automatic Data is usually not traded on GermanUnityDay, Christmas Eve ( 2025 ), Christmas Day, Boxing Day, New Year 's Eve ( 2025 ), New Year 's Day, Good Friday, Easter Monday, International Workers ' Day. Automatic Stock trading window is adjusted to Europe/Berlin timezone.
Automatic |
Automatic Stock Analysis Notes
The company has Price/Earnings To Growth (PEG) ratio of 2.96. Automatic Data Processing last dividend was issued on the 12th of March 1970.Automatic Data Processing Investment Alerts
| Automatic Data generated a negative expected return over the last 90 days |
Automatic Market Capitalization
The company currently falls under 'Large-Cap' category with a current market capitalization of 88.33 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.Technical Drivers
As of the 12th of January 2026, Automatic Data shows the Mean Deviation of 0.7147, standard deviation of 1.15, and Risk Adjusted Performance of (0.07). 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.Automatic Data Processing Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Weighted Moving Average calculates a weight for each value in Automatic Data price series with the more recent values given greater weights.
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.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.02 | |||
| Day Median Price | 227.65 | |||
| Day Typical Price | 227.65 | |||
| Price Action Indicator | 2.38 | |||
| Period Momentum Indicator | 4.75 |
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.Automatic Data Assets Financed by Debt
Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Automatic Data's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Automatic Data, which in turn will lower the firm's financial flexibility.Be your own money manager
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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Additional Tools for Automatic Stock Analysis
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.