Data Call Operating Margin vs. Revenue
| DCLT Stock | USD 0 0 62.07% |
For Data Call profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Data Call to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Data Call Technologi utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Data Call's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Data Call Technologi over time as well as its relative position and ranking within its peers.
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Data Call Technologi Revenue vs. Operating Margin Fundamental Analysis
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. Data Call Technologi is rated # 2 in operating margin category among its peers. It also is rated # 2 in revenue category among its peers totaling about 63,068,043 of Revenue per Operating Margin. 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 Revenue vs. Operating Margin
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.
Data Call |
| = | 0.01 % |
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.
Revenue is income that a firm generates from business activities such us rendering services or selling goods to customers. It is a crucial part of a business and an essential item when evaluating a company's financial statements. Revenues from a firm's primary business operations can be reported on the income statement as sales revenue, net sales, or simply sales, depending on the industry in which a given company operates.
Data Call |
| = | 580.23 K |
Revenue is typically recorded when cash or cash equivalents are exchanged for services or goods and can include products or services discounts, promotions, as well as early payments on invoices or services rendered in advance.
Data Revenue vs Competition
Data Call Technologi is rated # 2 in revenue category among its peers. Market size based on revenue of Software—Infrastructure industry is currently estimated at about 356.53 Billion. Data Call adds roughly 580,226 in revenue claiming only tiny portion of equities listed under Software—Infrastructure industry.
Data Call Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Data Call, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Data Call will eventually generate negative long term returns. The profitability progress is the general direction of Data Call's change in net profit over the period of time. It can combine multiple indicators of Data Call, where stable trends show no significant progress. An accelerating trend is seen as positive, while a decreasing one is unfavorable. A rising trend means that profits are rising, and operational efficiency may be rising as well. A decreasing trend is a sign of poor performance and may indicate upcoming losses.
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.
Data Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Data Call. Investors often realize that things won't turn out the way they predict. There are maybe way too many unforeseen events and contingencies during the holding period of Data Call position where the market behavior may be hard to predict, tax policy changes, gold or oil price hikes, calamities change, and many others. The question is, are you prepared for these unexpected events? Although some of these situations are obviously beyond your control, you can still follow the important profit indicators to know where you should focus on when things like this occur. Below are some of the Data Call's important profitability drivers and their relationship over time.
Use Data Call in pair-trading
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Data Call position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Data Call will appreciate offsetting losses from the drop in the long position's value.Data Call Pair Trading
Data Call Technologi Pair Trading Analysis
The ability to find closely correlated positions to Data Call could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Call when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Data Call - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Data Call Technologi to buy it.
The correlation of Data Call is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Data Call moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Call Technologi moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Data Call can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Use Investing Themes to Complement your Data Call position
In addition to having Data Call in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did You Try This Idea?
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Airlines
Domestic and international airlines and airline services. The Airlines theme has 38 constituents at this time.
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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.