Data Call Financials
| DCLT Stock | USD 0 0 84.62% |
Data |
Understanding current and past Data Call Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Data Call's financial statements are interrelated, with each one affecting the others. For example, an increase in Data Call's assets may result in an increase in income on the income statement.
Please note, the imprecision that can be found in Data Call's accounting process means that the reasonable investor should take a skeptical approach toward the financial statement analysis of Data Call Technologi. Check Data Call's Beneish M Score to see the likelihood of Data Call's management manipulating its earnings.
Data Call Stock Summary
Data Call competes with Arax Holdings, AppTech Payments, Datasea, AuthID, and Priority Technology. 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.| Instrument | USA Pink Sheet View All |
| Exchange | PINK Exchange |
| ISIN | US2376012082 |
| Business Address | 700 South Friendswood |
| Sector | Technology |
| Industry | Software—Infrastructure |
| Benchmark | Dow Jones Industrial |
| Website | www.datacalltech.com |
| Phone | 832 230 2376 |
| Currency | USD - US Dollar |
Data Call Key Financial Ratios
Data Call's financial ratios allow both analysts and investors to convert raw data from Data Call's financial statements into concise, actionable information that can be used to evaluate the performance of Data Call over time and compare it to other companies across industries.| Return On Equity | 0.47 | |||
| Return On Asset | 0.034 | |||
| Beta | 0.42 |
Data Financial Ratios 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 Call Technologi Systematic Risk
Data Call's systematic risk plays a vital role in portfolio allocation when considering its stock to be added to a well-diversified portfolio. Data Call volatility which cannot be eliminated through diversification, requires returns over the risk-free rate. Over the long run, a well-diversified portfolio provides returns that match its exposure to systematic risk. In this case, investors face a trade-off between expected returns and systematic risk and, therefore, can only reduce a portfolio's exposure to systematic risk by sacrificing expected returns on the portfolio.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Data Call Technologi correlated with the market. If Beta is less than 0 Data Call generally moves in the opposite direction as compared to the market. If Data Call Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Data Call Technologi is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Data Call is generally in the same direction as the market. If Beta > 1 Data Call moves generally in the same direction as, but more than the movement of the benchmark.
Data Call December 16, 2024 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Data Call help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Data Call Technologi. We use our internally-developed statistical techniques to arrive at the intrinsic value of Data Call Technologi based on widely used predictive technical indicators. In general, we focus on analyzing Data Pink Sheet price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Data Call's daily price indicators and compare them against related drivers.
| Downside Deviation | 36.81 | |||
| Information Ratio | 0.1143 | |||
| Maximum Drawdown | 155.4 | |||
| Value At Risk | (29.41) | |||
| Potential Upside | 52.63 |
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.