Market Capitalization of Data Patterns (india) Ltd

Historical Market Cap of Data Patterns (India) Ltd

Market Cap or market capitalisation refers to metrics that are used to measure a company's size. It is defined as the total market value of a company's outstanding shares of stock. Formula of Market Cap: Market Capital = N * P Here, N for the outstanding shares P refers to the closing price of the company's shares. Types of Companies based on Market Cap: - Small-Cap stocks: Up to 500 Crore - Mid-Cap Stocks: From Rs.500 crore up to Rs.7,000 crore - Large-Cap Stocks: From Rs.7,000 crore up to Rs.20,000 crore

Historical P/E Ratio of Data Patterns (India) Ltd

The price-to-earnings ratio (P/E ratio) is a valuation measure calculated by dividing a company's current share price by its earnings per share. P/E Ratio Formula P/E ratio = (CMP of share/ Earning per share) Types of Price to Earning Ratio 1. Forward P/E ratio: It is calculated by simply dividing the price of a single unit of a company along with the estimated earnings of a company derived from its future earning guidance. 2. Trailing P/E ratio: It is the most common metric used by investors where past earnings of a company over a period are considered.

Historical Revenue of Data Patterns (India) Ltd

Revenue term means the amount of money a company earns from its primary business activities such as the sales of its products & services.\r\r\n\r\r\nTypes of Revenue:\r\r\n\r\r\n1. Operating revenue: It refers to the income generated from the core business activities, which are sales of goods or services rendered.\r\r\n\r\r\n2. Non-Operating revenue: It is the income generated from secondary sources unrelated to the primary business. Examples include rents, dividends, interest, and royalty fees.\r\r\n\r\r\nFormula for Revenue:\r\r\n\r\r\nThe formula for calculating revenue is based on two goods & services:\r\r\n\r\r\nFor goods:\r\r\nRevenue = Avg unit price x Number of Units sold\r\r\n\r\r\nFor services:\r\r\nRevenue = Avg unit price x Number of Customers served.

Historical EBITDA of Data Patterns (India) Ltd

PBIDT stands for Profit Before Interest, Depreciation, and Taxes. It is a financial metric that measures a company's profitability before accounting for interest expenses, depreciation of assets, and taxes. Formula to calculate PBIDT: PBIDT = Net Income + Interest + Depreciation + Taxes or PBIDT = Operating Income + Depreciation + Taxes PBIDT vs EBITDA vs EBIT vs EBT: Here is a brief explanation of the differences: - PBIDT (Profit Before Interest, Depreciation, and Taxes) includes taxes in its calculation, unlike EBITDA. - EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization) excludes taxes and interest, focusing on operational performance. - EBIT (Earnings Before Interest and Taxes) excludes interest and taxes, providing a measure of core operational profitability. - EBT (Earnings Before Taxes) includes all operating income but does not account for interest expenses. Conclusion: PBIDT, similar to EBITDA, is a measure of operational profitability but includes taxes in its calculation.

Historical Net Profit of Data Patterns (India) Ltd

Net profit is the amount of money a company retains after accounting for all expenses, depreciation, interest, taxes, and other deductions.\r\r\n\r\r\nNet Profit formula is expressed as:\r\r\n\r\r\nNet Profit = Total Revenue - Total Expense\r\r\n\r\r\nNet Profit Margin Ratio:\r\r\n\r\r\nNet Profit Margin Ratio = Net Profit / Total Revenue

Historical Dividend Payouts of Data Patterns (India) Ltd

Dividend payout refers to the total dividends paid to shareholders relative to the company's earnings. It is a financial measure that determines the percentage of earnings paid out to existing shareholders as dividends. How to calculate Dividend Payout Ratio? The dividend payout ratio formula is as follows: DPR = Dividends paid / Net earnings With the dividend payout ratio, you can understand the company's priorities. It is an important metric that allows you to easily check DPR online.