Data Call Technologi Stock Number Of Shares Shorted
| 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 Number Of Shares Shorted Analysis
Data Call's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
More About Number Of Shares Shorted | All Equity Analysis
Shares Shorted | = | Shorted by Public | + | by Institutions |
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
| Competition |
Based on the recorded statements, Data Call Technologi has 0.0 of outstending shares currently sold short by investors. 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 number of shares shorted for all United States stocks is 100.0% higher than that of the company.
Data Number Of Shares Shorted 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 Number Of Shares Shorted 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 number of shares shorted 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.