Data Patterns (India) Analysis

Data Stock Analysis Notes

About 56.0% of the company shares are held by company insiders. The company recorded earning per share (EPS) of 39.58. Data Patterns Limited last dividend was issued on the 23rd of July 2024. To learn more about Data Patterns Limited call the company at 91 44 4741 4000 or check out https://www.datapatternsindia.com.

Data Patterns Limited Investment Alerts

Data Patterns Thematic Classifications

Data Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 178.89 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 Profitablity

The company has Profit Margin (PM) of 0.31 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.37 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.37.

Management Efficiency

Data Patterns Limited has return on total asset (ROA) of 0.0924 % which means that it generated a profit of $0.0924 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.1566 %, meaning that it generated $0.1566 on every $100 dollars invested by stockholders. Data Patterns' management efficiency ratios could be used to measure how well Data Patterns manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Data Patterns' Liabilities And Stockholders Equity is comparatively stable compared to the past year. Non Current Liabilities Total is likely to gain to about 554.3 M in 2025, whereas Total Current Liabilities is likely to drop slightly above 1.8 B in 2025.

Technical Drivers

As of the 10th of June, Data Patterns shows the Coefficient Of Variation of 350.15, downside deviation of 2.75, and Mean Deviation of 2.96. Data Patterns Limited technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.

Data Patterns Limited Price Movement Analysis

Data Patterns Outstanding Bonds

Data Patterns Predictive Daily Indicators

Data Patterns Forecast Models

Data Patterns' time-series forecasting models are one of many Data Patterns' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Data Patterns' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Data Patterns prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Data shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Data Patterns. By using and applying Data Stock analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.

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.