Data Call Operating Margin vs. Debt To Equity

DCLT Stock  USD 0  0  84.62%   
Taking into consideration Data Call's profitability measurements, Data Call Technologi may not be well positioned to generate adequate gross income at this time. It has a very high probability of underperforming in January. Profitability indicators assess Data Call's ability to earn profits and add value for shareholders.
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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Please note, there is a significant difference between Data Call's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Call is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Call's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Data Call Technologi Debt To Equity 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 one of the top stocks in operating margin category among its peers. It also is one of the top stocks in debt to equity category among its peers fabricating about  4.46  of Debt To Equity 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 Debt To Equity 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

Operating Margin

 = 

Operating Income

Revenue

X

100

 = 
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.
Debt to Equity is calculated by dividing the Total Debt of a company by its Equity. If the debt exceeds equity of a company, then the creditors have more stakes in a firm than the stockholders. In other words, Debt to Equity ratio provides analysts with insights about composition of both equity and debt, and its influence on the valuation of the company.

Data Call

D/E

 = 

Total Debt

Total Equity

 = 
0.04 %
High Debt to Equity ratio typically indicates that a firm has been borrowing aggressively to finance its growth and as a result may experience a burden of additional interest expense. This may reduce earnings or future growth. On the other hand a small D/E ratio may indicate that a company is not taking enough advantage from financial leverage. Debt to Equity ratio measures how the company is leveraging borrowing against the capital invested by the owners.

Data Debt To Equity Comparison

Data Call is currently under evaluation in debt to equity 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.

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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.