Data Call Total Debt vs. Cash And Equivalents
| DCLT Stock | USD 0 0.00 0.00% |
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 Cash And Equivalents vs. Total Debt 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 below average in total debt category among its peers. It is one of the top stocks in cash and equivalents category among its peers creating about 5.30 of Cash And Equivalents per Total Debt. 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 Total Debt vs. Competition
Data Call Technologi is rated below average in total debt category among its peers. Total debt of Software—Infrastructure industry is currently estimated at about 661.81 Million. Data Call adds roughly 2,690 in total debt claiming only tiny portion of equities listed under Software—Infrastructure industry.
Data Cash And Equivalents vs. Total Debt
Total Debt refers to the amount of long term interest-bearing liabilities that a company carries on its balance sheet. That may include bonds sold to the public, notes written to banks or capital leases. Typically, debt can help a company magnify its earnings, but the burden of interest and principal payments will eventually prevent the firm from borrow excessively.
Data Call |
| = | 2.69 K |
In most industries, total debt may also include the current portion of long-term debt. Since debt terms vary widely from one company to another, simply comparing outstanding debt obligations between different companies may not be adequate. It is usually meant to compare total debt amounts between companies that operate within the same sector.
Cash or Cash Equivalents are the most liquid of all assets found on the company's balance sheet. It is used in calculating many of the firm's liquidity ratios and is a good indicator of the overall financial health of a company. Companies with a lot of cash are usually attractive takeover targets. Cash Equivalents are balance sheet items that are typically reported using currency printed on notes.
Data Call |
| = | 14.26 K |
Cash equivalents represent current assets that are easily convertible to cash such as short term bonds, savings account, money market funds, or certificate of deposits (CDs). One of the important consideration companies make when classifying assets as cash equivalent is that investments they report on their balance sheets under current assets should have almost no risk of change in value over the next few months (usually three months).
Data Cash And Equivalents Comparison
Data Call is currently under evaluation in cash and equivalents 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.