Automatic Data Ownership
| ADP Stock | USD 250.06 3.44 1.39% |
Shares in Circulation | First Issued 1985-09-30 | Previous Quarter 412.5 M | Current Value 412.1 M | Avarage Shares Outstanding 530.1 M | Quarterly Volatility 72.8 M |
Please note, institutional investors have a lot of resources and new technology at their disposal. They can put in a lot of research and financial analysis when reviewing investment options. There are many different types of institutional investors, including banks, hedge funds, insurance companies, and pension plans. One of the main advantages they have over retail investors is the fees paid for trades. As they are buying in large quantities, they can manage their cost more effectively.
Automatic |
Automatic Stock Ownership Analysis
About 83.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.67. Automatic Data Processing recorded earning per share (EPS) of 8.96. The entity last dividend was issued on the 14th of June 2024. The firm had 1139:1000 split on the 1st of October 2014. Automatic Data Processing, Inc. provides cloud-based human capital management solutions worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. Automatic Data operates under Staffing Employment Services classification in the United States and is traded on NASDAQ Exchange. It employs 60000 people. For more info on Automatic Data Processing please contact Carlos Rodriguez at 973 974 5000 or go to https://www.adp.com.Besides selling stocks to institutional investors, Automatic Data also allocates a substantial amount of its earnings to a pull of share-based compensation to be paid out to its employees, managers, executives, and members of the board of directors. Share-Based compensation (also sometimes called Stock-Based Compensation) is a way of paying different Automatic Data's stakeholders with equity in the business. It is typically used as a motivation factor for employees to contribute beyond their regular compensation (salary and bonus). It is also used as a tool to align Automatic Data's strategic interests with those of the company's shareholders. Shares issued to employees are usually subject to a vesting period before they are earned and sold.
Automatic Data Quarterly Liabilities And Stockholders Equity |
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Automatic Data Insider Trades History
Less than 1% of Automatic Data Processing are currently held by insiders. Unlike Automatic Data's institutional investors, corporate insiders most likely have a limit on the maximum percentage of share ownership. This is done to align insiders' influence against Automatic Data's private investors even though both sides will benefit from rising prices or experience loss when the share price declines. The good rule to have in mind is that the maximum share ownership percentage of the corporate insiders should not surpass 25%. View all of Automatic Data's insider trades
Automatic Stock Institutional Investors
Have you ever been surprised when a price of an equity instrument such as Automatic Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Automatic Data Processing backward and forwards among themselves. Automatic Data's institutional investor refers to the entity that pools money to purchase Automatic Data's securities or originate loans. Institutional investors include commercial and private banks, credit unions, insurance companies, pension funds, hedge funds, endowments, and mutual funds. Operating companies that invest excess capital in these types of assets may also be included in the term and may influence corporate governance by exercising voting rights in their investments.
| Shares | Northern Trust Corp | 2023-12-31 | 5.7 M | Wellington Management Company Llp | 2023-12-31 | 5.5 M | Goldman Sachs Group Inc | 2023-12-31 | 4.8 M | State Farm Mutual Automobile Ins Co | 2023-12-31 | 3.7 M | Ameriprise Financial Inc | 2023-12-31 | 3.5 M | Capital Research Global Investors | 2023-12-31 | 3.5 M | Legal & General Group Plc | 2023-12-31 | 3.4 M | Amundi | 2023-12-31 | 3.2 M | Amvescap Plc. | 2023-12-31 | 3.2 M | Vanguard Group Inc | 2023-12-31 | 39.6 M | Blackrock Inc | 2023-12-31 | 33.3 M |
Automatic Data Processing Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Automatic Data insiders, such as employees or executives, is commonly permitted as long as it does not rely on Automatic Data's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Automatic Data insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Sandra Wijnberg over six months ago Acquisition by Sandra Wijnberg of 1574 shares of Automatic Data subject to Rule 16b-3 | ||
Donald Weinstein over a year ago Exercise or conversion by Donald Weinstein of 1706 shares of Automatic Data subject to Rule 16b-3 |
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 |
Automatic Data Corporate Filings
8K | 9th of May 2024 Report filed with the SEC to announce major events that shareholders should know about | ViewVerify |
10Q | 2nd of May 2024 Quarterly performance report mandated by Securities and Exchange Commission (SEC), to be filed by publicly traded corporations | ViewVerify |
F4 | 5th of March 2024 The report filed by a party regarding the acquisition or disposition of a company's common stock, as well as derivative securities such as options, warrants, and convertible securities | ViewVerify |
13A | 13th of February 2024 An amended filing to the original Schedule 13G | ViewVerify |
Pair Trading with Automatic Data
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Automatic Data position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Automatic Data will appreciate offsetting losses from the drop in the long position's value.Moving against Automatic Stock
| 0.53 | BV | BrightView Holdings Fiscal Year End 21st of November 2024 | PairCorr |
| 0.52 | NL | NL Industries | PairCorr |
| 0.48 | VSEC | VSE Corporation | PairCorr |
| 0.47 | WLDN | Willdan Group | PairCorr |
| 0.45 | ABM | ABM Industries Financial Report 4th of June 2024 | PairCorr |
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Automatic Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Automatic Data Processing to buy it.
The correlation of Automatic Data is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Automatic Data can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 tightly coupled with the direction of predictive economic indicators such as signals in unemployment. Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Complementary 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.
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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.147 | Dividend Share 5.3 | Earnings Share 8.96 | Revenue Per Share 45.972 | Quarterly Revenue Growth 0.066 |
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.