Data Communications Gross Profit vs. Profit Margin

DCM Stock  CAD 1.99  0.10  5.29%   
Based on Data Communications' profitability indicators, Data Communications Management may not be well positioned to generate adequate gross income at this time. It has a very high probability of underperforming in December. Profitability indicators assess Data Communications' ability to earn profits and add value for shareholders.
 
Gross Profit  
First Reported
2005-09-30
Previous Quarter
37.3 M
Current Value
34.3 M
Quarterly Volatility
5.6 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
At this time, Data Communications' Days Sales Outstanding is very stable compared to the past year. As of the 26th of November 2024, Days Of Sales Outstanding is likely to grow to 103.23, while Price To Sales Ratio is likely to drop 0.26. At this time, Data Communications' Accumulated Other Comprehensive Income is very stable compared to the past year. As of the 26th of November 2024, Operating Income is likely to grow to about 33.3 M, though Income Before Tax is likely to grow to (21.3 M).
Current ValueLast YearChange From Last Year 10 Year Trend
Gross Profit Margin0.210.2656
Significantly Down
Pretty Stable
For Data Communications profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Data Communications to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Data Communications Management utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Data Communications's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Data Communications Management 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 Communications' value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Communications is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Communications' 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 Communications Profit Margin vs. Gross Profit Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining Data Communications's current stock value. Our valuation model uses many indicators to compare Data Communications value to that of its competitors to determine the firm's financial worth.
Data Communications Management is one of the top stocks in gross profit category among its peers. It also is one of the top stocks in profit margin category among its peers . At this time, Data Communications' Gross Profit is very stable compared to the past year. Comparative valuation analysis is a catch-all model that can be used if you cannot value Data Communications by discounting back its dividends or cash flows. This model doesn't attempt to find an intrinsic value for Data Communications' Stock. Still, instead, it compares the stock's price multiples to a benchmark or nearest competition to determine if the stock is relatively undervalued or overvalued.

Data Profit Margin vs. Gross Profit

Gross Profit is the most basic measure of business operational efficiency. It is simply the difference between sales revenue and the cost associated with making a product or providing a service. It is calculated before deducting administrative expenses, taxes, and interest payments.

Data Communications

Gross Profit

 = 

Revenue

-

Cost of Revenue

 = 
84.22 M
Gross Profit varies significantly from one sector to another and tells an investor how much money a business would have made if it didn't have to pay any overhead expenses such as salary, taxes, or rent.
Profit Margin measures overall efficiency of a company and shows its ability to withstand competition as well as defend against adverse conditions such as rising costs, falling prices, decline in sales or management distress. Profit margin tells investors how well the company executes on its overall pricing strategies as well as how effective the company in controlling its costs.

Data Communications

Profit Margin

 = 

Net Income

Revenue

X

100

 = 
(0.01) %
In a nutshell, Profit Margin indicator shows the amount of money the company makes from total sales or revenue. It can provide a good insight into companies in the same sector, as well as help to identify trends of a company from year to year.

Data Profit Margin Comparison

Data Communications is currently under evaluation in profit margin category among its peers.

Data Communications Profitability Projections

The most important aspect of a successful company is its ability to generate a profit. For investors in Data Communications, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Data Communications will eventually generate negative long term returns. The profitability progress is the general direction of Data Communications' change in net profit over the period of time. It can combine multiple indicators of Data Communications, 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.
Last ReportedProjected for Next Year
Accumulated Other Comprehensive Income396 K415.8 K
Operating Income31.7 M33.3 M
Income Before Tax-22.4 M-21.3 M
Total Other Income Expense Net-54.1 M-51.4 M
Net Loss-15.9 M-15.1 M
Income Tax Expense-6.6 M-6.3 M
Net Loss-15.9 M-16.6 M
Net Income Applicable To Common Shares16.1 M16.9 M
Interest Income5.7 M5.7 M
Net Interest Income-15.8 M-15 M
Change To Netincome735.3 K698.5 K
Net Loss(0.31)(0.33)
Income Quality(2.07)(1.97)
Net Income Per E B T 0.71  0.79 

Data Profitability Driver Comparison

Profitability drivers are factors that can directly affect your investment outlook on Data Communications. 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 Communications 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 Communications' important profitability drivers and their relationship over time.

Use Data Communications 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 Communications 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 Communications will appreciate offsetting losses from the drop in the long position's value.

Data Communications Pair Trading

Data Communications Management Pair Trading Analysis

The ability to find closely correlated positions to Data Communications 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 Communications 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 Communications - 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 Communications Management to buy it.
The correlation of Data Communications 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 Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications 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 Communications 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.
Pair CorrelationCorrelation Matching

Use Investing Themes to Complement your Data Communications position

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Alternative Energy
Alternative Energy Theme
Large and mid-size companies, ETFs and funds that are either investing or directly involved in providing energy derived from sources not connected to fossil fuels, do not consume natural resources, and do not harm the environment. This includes wind power, nuclear and solar energy, biofuel, ethanol, hydrogen and others alternative sources of energy. The Alternative Energy theme has 42 constituents at this time.
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Other Information on Investing in Data Stock

To fully project Data Communications' future profitability, investors should examine all historical financial statements. These statements provide investors with a comprehensive snapshot of the financial position of Data Communications at a specified time, usually calculated after every quarter, six months, or one year. Three primary documents fall into the category of financial statements. These documents include Data Communications' income statement, its balance sheet, and the statement of cash flows.
Potential Data Communications investors and stakeholders can use historical trends found within financial statements to determine how well the company is positioned for the future. Although Data Communications investors may work on each financial statement separately, they are all related. The changes in Data Communications's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Data Communications's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet but not equivalent to net income shown on the income statement. Please read more on our technical analysis and fundamental analysis pages.