Data Patterns Limited Stock Debt To Equity
| 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.
Data | Debt To Equity |
Data Patterns Limited Company Debt To Equity Analysis
Data Patterns' Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.
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Data Total Stockholder Equity
Total Stockholder Equity |
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According to the company disclosure, Data Patterns Limited has a Debt To Equity of 0.0%. This is 100.0% lower than that of the Aerospace & Defense sector and 100.0% lower than that of the Industrials industry. The debt to equity for all India stocks is 100.0% higher than that of the company.
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Data Fundamentals
| Return On Equity | 0.15 | ||||
| Return On Asset | 0.0822 | ||||
| Profit Margin | 0.35 % | ||||
| Operating Margin | 0.33 % | ||||
| Current Valuation | 126.52 B | ||||
| Shares Outstanding | 55.98 M | ||||
| Shares Owned By Insiders | 56.67 % | ||||
| Shares Owned By Institutions | 18.00 % | ||||
| Price To Book | 9.78 X | ||||
| Price To Sales | 25.15 X | ||||
| Revenue | 5.2 B | ||||
| Gross Profit | 2.23 B | ||||
| EBITDA | 2.22 B | ||||
| Net Income | 1.82 B | ||||
| Total Debt | 35 M | ||||
| Book Value Per Share | 236.53 X | ||||
| Cash Flow From Operations | 1.39 B | ||||
| Earnings Per Share | 33.01 X | ||||
| Target Price | 2688.4 | ||||
| Number Of Employees | 1.34 K | ||||
| Beta | 0.33 | ||||
| Market Capitalization | 134.34 B | ||||
| Total Asset | 16.92 B | ||||
| Retained Earnings | 5.09 B | ||||
| Working Capital | 10.51 B | ||||
| Annual Yield | 0 % | ||||
| Net Asset | 16.92 B |
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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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.