Automatic Data Processing Stock Shares Owned By Institutions

ADPR34 Stock  BRL 75.70  0.86  1.12%   
Automatic Data Processing fundamentals help investors to digest information that contributes to Automatic Data's financial success or failures. It also enables traders to predict the movement of Automatic Stock. The fundamental analysis module provides a way to measure Automatic Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Automatic Data stock.
  
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Automatic Data Processing Company Shares Owned By Institutions Analysis

Automatic Data's Shares Owned by Institutions show the percentage of the outstanding shares of stock issued by a company that is currently owned by other institutions such as asset management firms, hedge funds, or investment banks. Many investors like investing in companies with a large percentage of the firm owned by institutions because they believe that larger firms such as banks, pension funds, and mutual funds, will invest when they think that good things are going to happen.

Shares Held by Institutions

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Funds and Banks

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Firms

More About Shares Owned By Institutions | All Equity Analysis
Since Institution investors conduct a lot of independent research they tend to be more involved and usually more knowledgeable about entities they invest as compared to amateur investors.
Competition

Based on the latest financial disclosure, 0.0% of Automatic Data Processing are shares owned by institutions. This is 100.0% lower than that of the Industrials sector and about the same as Staffing & Employment Services (which currently averages 0.0) industry. The shares owned by institutions for all Brazil stocks is 100.0% higher than that of the company.

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Automatic Fundamentals

About Automatic Data Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Automatic Data Processing's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Automatic Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Automatic Data Processing based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.

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Additional Information and Resources on Investing in Automatic Stock

When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:
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 nation.
You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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.