Data Patterns (India) Share price and Fundamental Analysis

Data Patterns (India) Share Price

Data Patterns (India) share price reflects investor sentiment toward the company and is impacted by various factors such as financial performance, market trends, and economic conditions. Share price is an indicator which shows the current value of the company's shares at which buyers or sellers can transact.

Data Patterns (India) Market Cap

Market capitalization of Data Patterns (India) indicates the total value of its outstanding shares. Marketcap is calculated by multiplying share price and outstanding shares of the company. It is a helpful metric for assessing the company's size and market Valuation. It also helps investors understand how Data Patterns (India) is valued compared to its competitors.

Data Patterns (India) PE Ratio

Data Patterns (India) PE ratio helps investors understand what is the market value of each stock compared to Data Patterns (India) 's earnings. A PE ratio higher than the average industry PE could indicate an overvaluation of the stock, whereas a lower PE compared to the average industry PE could indicate an undervaluation.

Data Patterns (India) PEG Ratio

The PEG ratio of Data Patterns (India) evaluates its PE ratio in relation to its growth rate. A PEG ratio of 1 indicates a fair value, a PEG ratio of less than 1 indicates undervaluation, and a PEG ratio of more than 1 indicates overvaluation.

Data Patterns (India) ROE (Return on Equity)

Return on Equity (ROE) measures how effectively Data Patterns (India) generates profit from shareholders' equity. A higher ROE of more than 20% indicates better financial performance in terms of profitability.

Data Patterns (India) ROCE (Return on Capital Employed)

Return on Capital Employed (ROCE) evaluates the profitability of Data Patterns (India) in relation to its capital employed. In simple terms, ROCE provides insight to investors as to how well the company is utilizing the capital deployed. A high ROCE of more than 20% shows that the business is making profitable use of its capital.

Data Patterns (India) Total Debt

Total debt of Data Patterns (India) shows how much the company owes to either banks or individual creditors. In simple terms, this is the amount the company has to repay. Total debt can be a very useful metric to show the financial health of the company. Total debt more than equity is considered to be a bad sign.

Data Patterns (India) Debt to Equity Ratio

The Debt-to-Equity (DE) ratio of Data Patterns (India) compares its total debt to shareholders' equity. A higher Debt to Equity ratio could indicate higher financial risk, while a lower ratio suggests that the company is managing its debt efficiently.

Data Patterns (India) CAGR (Compound Annual Growth Rate)

CAGR shows the consistent growth rate of Data Patterns (India) over a specific period, whether it is over a month, a year, or 10 years. It is a key metric to evaluate the company’s long-term growth potential. Main metrics for which CAGR is calculated are net sales, net profit, operating profit, and stock returns.

Data Patterns (India) Technical Analysis

Technical analysis of Data Patterns (India) helps investors get an insight into when they can enter or exit the stock. Key components of Data Patterns (India) Technical Analysis include:

Support Levels (S1, S2, S3)

There are usually multiple support levels, but the main support levels for a stock are S1, S2, S3. Support levels indicate price points where stock might get support from buyers, helping the stock stop falling and rise.

Resistance Levels (R1, R2, R3)

There are usually multiple resistance levels, but the main resistance levels for a stock are R1, R2, R3. Resistance levels represent price points where Data Patterns (India) shares often struggle to rise above due to selling pressure.

Data Patterns (India) Dividends

Dividends refer to the portion of the company’s profits distributed to its shareholders. Dividends are typically paid out in cash and reflect Data Patterns (India) ’s financial health and profitability.

Data Patterns (India) Bonus Shares

Bonus shares are usually given by companies to make the stock more affordable, increase liquidity, boost investor confidence, and more.

Data Patterns (India) Stock Split

Stock split increases the number of its outstanding shares by dividing each existing share into multiple shares. When the company offers a stock split, the face value of the stock reduces in the same proportion as the split ratio.

Data Patterns (India) Financials

The financials of Data Patterns (India) provide a complete view to investors about its net sales, net profit, operating profits, expenses, and overall financial health. Investors can analyze financial data to assess the company’s stability and also understand how the company has been growing financially.

Data Patterns (India) Profit and Loss Statements

The profit and loss statement of Data Patterns (India) highlights its net sales, net profit, total expenditure, and operating profits in the current financial year. This Profit and Loss statement is crucial for evaluating the profitability and financial stability of Data Patterns (India) .

Data Patterns (India) Balance Sheet

The balance sheet presents a snapshot of Data Patterns (India) ’s assets, liabilities, and equity of shareholders, providing insights into the financials of the company.

Data Patterns (India) Cashflow Statements

Cashflow statements track the company's cash inflows and outflows over a period. It is an essential tool for understanding how well the company manages its liquidity and finances.