Data Call Technologi Stock Fundamentals
| DCLT Stock | USD 0 0.00 0.00% |
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.
Data |
Data Call Technologi Company Operating Margin Analysis
Data Call's Operating Margin shows how much operating income a company makes on each dollar of sales. It is one of the profitability indicators which helps analysts to understand whether the firm is successful or not making money from everyday operations.
Current Data Call Operating Margin | 0.01 % |
Most of Data Call's fundamental indicators, such as Operating Margin, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Data Call Technologi is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
A good Operating Margin is required for a company to be able to pay for its fixed costs or payout its debt, which implies that the higher the margin, the better. This ratio is most effective in evaluating the earning potential of a company over time when comparing it against a firm's competitors.
| Competition |
Based on the recorded statements, Data Call Technologi has an Operating Margin of 0.0092%. This is 100.1% lower than that of the Technology sector and significantly higher than that of the Software—Infrastructure industry. The operating margin for all United States stocks is 100.17% lower than that of the firm.
Data Call Technologi Fundamental Drivers Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Data Call's current stock value. Our valuation model uses many indicators to compare Data Call value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Data Call competition to find correlations between indicators driving Data Call's intrinsic value. More Info.Data Call Technologi is one of the top stocks in return on equity category among its peers. It also is one of the top stocks in return on asset category among its peers reporting about 0.07 of Return On Asset per Return On Equity. The ratio of Return On Equity to Return On Asset for Data Call Technologi is roughly 13.78 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Data Call's earnings, one of the primary drivers of an investment's value.Data Operating Margin 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 Operating Margin 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 operating margin 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.Data Call Technologies, Inc. provides real-time informationcontent through digital signage and kiosk networks in the United States. Data Call Technologies, Inc. was incorporated in 2002 and is based in Friendswood, Texas. Data Call operates under SoftwareInfrastructure classification in the United States and is traded on OTC Exchange. It employs 3 people.
Thematic Opportunities
Explore Investment Opportunities
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.