Datagroup Se Stock Cash Per Share

0W19 Stock   49.40  0.10  0.20%   
Datagroup SE fundamentals help investors to digest information that contributes to Datagroup's financial success or failures. It also enables traders to predict the movement of Datagroup Stock. The fundamental analysis module provides a way to measure Datagroup'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 Datagroup stock.
  
This module does not cover all equities due to inconsistencies in global equity categorizations. Continue to Equity Screeners to view more equity screening tools.

Datagroup SE Company Cash Per Share Analysis

Datagroup's Cash per Share is a ratio of current cash on hands or in the banks of the company to a total number of shares outstanding. It is used to determine a firm's liquidity and is a good indicator of the overall financial health of a company. Value investors often compare this ratio to the current stock quote, and if it exceeds the stock price they would invest in it.

Cash Per Share

 = 

Total Cash

Average Shares

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Companies with high Cash per Share ratio will be considered as an attractive investment by most investors. In most industries if you can single out an equity instrument trading below its cash per share value, you have a bargain and should consider buying it. Finding the stocks traded below their cash value, therefore, can be a good starting point for investors using strategies based on fundamentals.
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Datagroup Common Stock Shares Outstanding

Common Stock Shares Outstanding

8.21 Million

At this time, Datagroup's Common Stock Shares Outstanding is comparatively stable compared to the past year.
In accordance with the recently published financial statements, Datagroup SE has a Cash Per Share of 0.0 times. This is 100.0% lower than that of the Commercial Services & Supplies sector and about the same as Industrials (which currently averages 0.0) industry. The cash per share for all United Kingdom stocks is 100.0% higher than that of the company.

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Datagroup Fundamentals

About Datagroup Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Datagroup SE's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datagroup using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datagroup SE 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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Datagroup Stock Analysis

When running Datagroup's price analysis, check to measure Datagroup'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 Datagroup is operating at the current time. Most of Datagroup's value examination focuses on studying past and present price action to predict the probability of Datagroup's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datagroup's price. Additionally, you may evaluate how the addition of Datagroup to your portfolios can decrease your overall portfolio volatility.