Data Patterns Limited Stock Book Value Per Share

DATAPATTNS   2,358  45.45  1.97%   
Data Patterns Limited fundamentals help investors to digest information that contributes to Data Patterns' financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Patterns' 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 Data Patterns 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.

Data Patterns Limited Company Book Value Per Share Analysis

Data Patterns' Book Value per Share (B/S) can be calculated by subtracting liabilities from assets, and then dividing it by the total number of currently outstanding shares. It indicates the level of safety associated with each common share after removing the effects of liabilities. In other words, a shareholder can use this ratio to see how much he or she can sell the stake in the company in the event of a liquidation.

Book Value per Share

 = 

Common Equity

Average Shares

More About Book Value Per Share | All Equity Analysis

Current Data Patterns Book Value Per Share

    
  236.53 X  
Most of Data Patterns' fundamental indicators, such as Book Value Per Share, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Patterns Limited is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
The naive approach to look at Book Value per Share is to compare it to current stock price. If Book Value per Share is higher than the currently traded stock price, the company can be considered undervalued. However, investors must be aware that conventional calculation of Book Value does not include intangible assets such as goodwill, intellectual property, trademarks or brands and may not be an appropriate measure for many firms.
Competition

Data Common Stock Shares Outstanding

Common Stock Shares Outstanding

55.31 Million

At this time, Data Patterns' Common Stock Shares Outstanding is comparatively stable compared to the past year.
In accordance with the recently published financial statements, the book value per share of Data Patterns Limited is about 236 times. This is 99.5% lower than that of the Aerospace & Defense sector and notably higher than that of the Industrials industry. The book value per share for all India stocks is 87.75% higher than that of the company.

Data Book Value Per Share Peer Comparison

Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Patterns' direct or indirect competition against its Book Value Per Share to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Patterns could also be used in its relative valuation, which is a method of valuing Data Patterns by comparing valuation metrics of similar companies.
Data Patterns is currently under evaluation in book value per share category among its peers.

Data Fundamentals

About Data Patterns Fundamental Analysis

The Macroaxis Fundamental Analysis modules help investors analyze Data Patterns Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Patterns using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Patterns Limited 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 Tools for Data Stock Analysis

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