Data Call Technologi Stock Earnings Per Share
| DCLT Stock | USD 0 0 84.62% |
Data Call Technologi fundamentals help investors to digest information that contributes to Data Call's financial success or failures. It also enables traders to predict the movement of Data Pink Sheet. The fundamental analysis module provides a way to measure Data Call's 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 Call pink sheet.
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Data Call Technologi Company Earnings Per Share Analysis
Data Call's Earnings per Share (EPS) denotes the portion of a company's earnings that is allocated to each share of common stock. To calculate Earnings per Share investors will need to take a company's net income, subtract any dividends for preferred stock, and divide it by the number of average outstanding shares. EPS is usually presented in two different ways: basic and diluted. Fully diluted Earnings per Share takes into account effects of warrants, options, and convertible securities and is generally viewed by analysts as a more accurate measure.
Earnings per Share is one of the most critical measures of the firm's current share price and is used by investors to determine the overall company profitability, especially when compared to the EPS of similar companies.
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According to the company disclosure, Data Call Technologi has an Earnings Per Share of 0.0 times. This is 100.0% lower than that of the Technology sector and about the same as Software—Infrastructure (which currently averages 0.0) industry. The earnings per share for all United States stocks is 100.0% higher than that of the company.
Data Earnings Per Share Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Call's direct or indirect competition against its Earnings Per Share to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Data Call could also be used in its relative valuation, which is a method of valuing Data Call by comparing valuation metrics of similar companies.Data Call is currently under evaluation in earnings per share category among its peers.
Data Fundamentals
| Return On Equity | 0.47 | |||
| Return On Asset | 0.034 | |||
| Profit Margin | 0.04 % | |||
| Operating Margin | 0.01 % | |||
| Current Valuation | 1.21 M | |||
| Shares Outstanding | 157.5 M | |||
| Shares Owned By Insiders | 24.69 % | |||
| Price To Book | 18.48 X | |||
| Price To Sales | 1.68 X | |||
| Revenue | 580.23 K | |||
| Gross Profit | 363.95 K | |||
| EBITDA | 16.85 K | |||
| Net Income | 15.79 K | |||
| Cash And Equivalents | 14.26 K | |||
| Total Debt | 2.69 K | |||
| Debt To Equity | 0.04 % | |||
| Current Ratio | 3.28 X | |||
| Cash Flow From Operations | (7.09 K) | |||
| Beta | 0.42 | |||
| Market Capitalization | 700.87 K | |||
| Total Asset | 86.86 K | |||
| Net Asset | 86.86 K |
About Data Call Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Call Technologi's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Call using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Call Technologi 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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Additional Tools for Data Pink Sheet Analysis
When running Data Call's price analysis, check to measure Data Call's 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 Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.