Data Call Technologi Stock Shares Owned By Institutions
| 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 Shares Owned By Institutions Analysis
Data Call's Shares Owned by Institutions show the percentage of the outstanding shares of stock issued by a company that is currently owned by other institutions such as asset management firms, hedge funds, or investment banks. Many investors like investing in companies with a large percentage of the firm owned by institutions because they believe that larger firms such as banks, pension funds, and mutual funds, will invest when they think that good things are going to happen.
More About Shares Owned By Institutions | All Equity Analysis
Shares Held by Institutions | = | Funds and Banks | + | Firms |
Since Institution investors conduct a lot of independent research they tend to be more involved and usually more knowledgeable about entities they invest as compared to amateur investors.
| Competition |
Based on the latest financial disclosure, 0.0% of Data Call Technologi are shares owned by institutions. 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 shares owned by institutions for all United States stocks is 100.0% higher than that of the company.
Data Shares Owned By Institutions 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 Shares Owned By Institutions 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 shares owned by institutions 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.