Data Patterns (India) Today
DATAPATTNS | 2,283 16.05 0.70% |
Performance0 of 100
| Odds Of DistressLess than 9
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Data Patterns is selling for under 2283.00 as of the 23rd of November 2024; that is 0.7 percent decrease since the beginning of the trading day. The stock's last reported lowest price was 2265.05. Data Patterns has less than a 9 % chance of experiencing financial distress in the next few years, but has generated negative returns over the last 90 days. Equity ratings for Data Patterns Limited are calculated daily based on our scoring framework. The performance scores are derived for the period starting the 24th of October 2024 and ending today, the 23rd of November 2024. Click here to learn more.
Business Domain Capital Goods | Category Industrials |
Data Patterns is entity of India. It is traded as Stock on NSE exchange. The company has 55.98 M outstanding shares. More on Data Patterns Limited
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Data Stock Highlights
Most reasonable investors view market volatility as an opportunity to invest at a favorable price or to sell short against a bearish trend. Data Patterns' investment highlights are automatically generated signals that are significant enough to either complement your investing judgment regarding Data Patterns or challenge it. These highlights can help you better understand the position you are entering and avoid costly mistakes.
MD Chairman | Srinivasagopalan Rangarajan | ||||
Thematic Idea | Data Storage (View all Themes) | ||||
Business Concentration | Aerospace & Defense, Industrials, Data Storage, Industrials, Aerospace & Defense, Aerospace & Defense, Industrials (View all Sectors) | ||||
Data Patterns' financial strength is of vital concern to both outside investors and internal stakeholders. Efficiency and cost control are keys to Data Patterns' success, along with its ability to generate sufficient cash flow to pay bills, repay debt, and make a consistent year-to-year profit. | |||||
Debt LevelsData Patterns can leverage the use of borrowed funds to amplify returns from an investment. In general, analyzing the relationship between debt to total assets helps investors to understand Data Patterns' financial leverage. It provides some insight into what part of Data Patterns' total assets is financed by creditors.
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Data Patterns Limited (DATAPATTNS) is traded on National Stock Exchange of India in India and employs 1,345 people. Data Patterns is listed under Aerospace & Defense category by Fama And French industry classification. The company currently falls under 'Mega-Cap' category with a current market capitalization of 127.86 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Data Patterns's market, we take the total number of its shares issued and multiply it by Data Patterns'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. Data Patterns Limited operates under Aerospace & Defense sector and is part of Industrials industry. The entity has 55.98 M outstanding shares.
Data Patterns generates positive cash flow from operations, but has no cash available
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Ownership AllocationData Patterns holds a total of 55.98 Million outstanding shares. Data Patterns Limited retains significant amount of outstanding shares owned by insiders. An insider is usually defined as a CEO, other corporate executive, director, or institutional investor who own at least 10% of the company's outstanding shares. Since such a large part of the company is owned by insiders, it is advisable to analyze if each of these insiders have been buying or selling the stock in recent months. Please note that no matter how many assets the company secures, if the real value of the firm is less than the current market value, you may not be able to make money on it.
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Data Patterns Limited Risk Profiles
Although Data Patterns' alpha and beta are two of the key measurements used to evaluate Data Patterns' performance over the market, the standard measures of volatility play an important role as well.
Data Stock Against Markets
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Data Patterns Corporate Management
Elected by the shareholders, the Data Patterns' board of directors comprises two types of representatives: Data Patterns inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Data. The board's role is to monitor Data Patterns' management team and ensure that shareholders' interests are well served. Data Patterns' inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Data Patterns' outside directors are responsible for providing unbiased perspectives on the board's policies.
Soundararajan | Senior Marketing | Profile | |
Kuppuswamy | Vice Development | Profile | |
Thomas Susikaran | Senior Development | Profile | |
Manvi Bhasin | Company Officer | Profile | |
R Karthick | Sr Devel | Profile | |
Nandaki Ramachandracharya | Deputy System | Profile | |
Lakshminarayanan V | Vice Development | Profile |
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.