Automatic Data (UK) Analysis

0HJI Stock   305.44  1.49  0.49%   
Automatic Data Processing is undervalued with Real Value of 332.11 and Hype Value of 307.35. 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 UK on London Exchange, with the market opening at 08:00:00 and closing at 16:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in UK. Automatic Data is usually not traded on Summer Bank Holiday, Christmas Day, Boxing Day, New Year 's Day, Good Friday, Easter Monday, May Day Bank Holiday, Spring Bank Holiday ( 2025 ). Automatic Stock trading window is adjusted to Europe/London timezone.
  
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 board of governors.

Automatic Stock Analysis Notes

About 84.0% of the company shares are owned by institutions such as pension funds. The company recorded earning per share (EPS) of 6.77. Automatic Data Processing had not issued any dividends in recent years. 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

4.83 Billion

Automatic Data Processing Investment Alerts

Over 84.0% of the company shares are owned by institutions such as pension funds
Latest headline from news.google.com: Citizens Financial Group Inc. RI Sells 1,710 Shares of Automatic Data Processing, Inc. - MarketBeat

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.

Automatic Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 104.43 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 0.0654 % which means that it generated a profit of $0.0654 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.8726 %, meaning that it generated $0.8726 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. Total Assets is likely to drop to about 47.2 B in 2024. Non Current Assets Total is likely to drop to about 7.3 B in 2024
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.
Dividend Yield
0.0182
Operating Margin
0.2649
Profit Margin
0.1972
Forward Dividend Yield
0.0002
Beta
0.795

Technical Drivers

As of the 2nd of December, Automatic Data shows the Mean Deviation of 0.6267, risk adjusted performance of 0.1522, and Downside Deviation of 0.782. 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 standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if Automatic Data Processing is priced correctly, providing market reflects its regular price of 305.44 per share.

Automatic Data Processing Price Movement Analysis

Execute Study
The output start index for this execution was twenty-seven with a total number of output elements of thirty-four. 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 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 is entity of United Kingdom. It is traded as Stock on LSE exchange.

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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.

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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.