Data Call Return On Asset vs. Price To Sales
| 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 Price To Sales vs. Return On Asset 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 return on asset category among its peers. It also is rated # 2 in price to sales category among its peers fabricating about 49.56 of Price To Sales per Return On Asset. 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 Price To Sales vs. Return On Asset
Return on Asset or ROA shows how effective is the management of the company in generating income from utilizing all of the assets at their disposal. It is a useful ratio to evaluate the performance of different departments of a company as well as to understand management performance over time.
Data Call |
| = | 0.034 |
Return on Asset measures overall efficiency of a company in generating profits from its total assets. It is expressed as the percentage of profits earned per dollar of Asset. A low ROA typically means that a company is asset-intensive and therefore will needs more money to continue generating revenue in the future.
Price to Sales ratio is typically used for valuing equity relative to its own past performance as well as to performance of other companies or market indexes. In most cases, the lower the ratio, the better it is for investors. However, it is advisable for investors to exercise caution when looking at price-to-sales ratios across different industries.
Data Call |
| = | 1.68 X |
The most critical factor to remember is that the price of equity takes a firm's debt into account, whereas the sales indicators do not consider financial leverage. Generally speaking, Price to Sales ratio shows how much market values every dollar of the company's sales.
Data Price To Sales Comparison
Data Call is currently under evaluation in price to sales category among its peers.
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?
Run Natural Foods Thematic Idea Now
Natural Foods
Companies producing natural foods including dairy products and different types of meets. The Natural Foods theme has 47 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Natural Foods Theme or any other thematic opportunities.
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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.