Dicker Data Profit Margin vs. Gross Profit

DDR Stock   8.51  0.18  2.16%   
Based on the key profitability measurements obtained from Dicker Data's financial statements, Dicker Data 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 Dicker Data's ability to earn profits and add value for shareholders.
For Dicker Data profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Dicker Data to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Dicker Data utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Dicker Data's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Dicker Data 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 Dicker Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Dicker Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Dicker Data'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.

Dicker Data Gross Profit vs. Profit Margin Fundamental Analysis

Comparative valuation techniques use various fundamental indicators to help in determining Dicker Data's current stock value. Our valuation model uses many indicators to compare Dicker Data value to that of its competitors to determine the firm's financial worth.
Dicker Data is one of the top stocks in profit margin category among its peers. It also is one of the top stocks in gross profit category among its peers fabricating about  7,947,114,846  of Gross Profit per Profit Margin. At this time, Dicker Data's Gross Profit is comparatively stable compared to the past year. 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 Dicker Data's earnings, one of the primary drivers of an investment's value.

Dicker Gross Profit vs. Profit Margin

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.

Dicker Data

Profit Margin

 = 

Net Income

Revenue

X

100

 = 
0.04 %
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.
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.

Dicker Data

Gross Profit

 = 

Revenue

-

Cost of Revenue

 = 
283.71 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.

Dicker Gross Profit Comparison

Dicker Data is currently under evaluation in gross profit category among its peers.

Dicker Data Profitability Projections

The most important aspect of a successful company is its ability to generate a profit. For investors in Dicker Data, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Dicker Data will eventually generate negative long term returns. The profitability progress is the general direction of Dicker Data's change in net profit over the period of time. It can combine multiple indicators of Dicker Data, 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 IncomeK6.7 K
Operating Income180.7 M189.8 M
Income Before Tax116.4 M122.2 M
Income Tax Expense34.3 M36 M
Total Other Income Expense Net-64.3 M-61.1 M
Net Income82.1 M86.3 M
Net Income Applicable To Common Shares84 M88.2 M
Net Income From Continuing Ops82.1 M45.9 M
Interest Income995 K945.2 K
Net Interest Income-19.4 M-18.5 M
Change To Netincome230.4 K241.9 K

Dicker Profitability Driver Comparison

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

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

Dicker Data Pair Trading

Dicker Data Pair Trading Analysis

The ability to find closely correlated positions to Dicker Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Dicker Data 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 Dicker Data - 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 Dicker Data to buy it.
The correlation of Dicker Data 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 Dicker Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Dicker Data 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 Dicker Data 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 Dicker Data position

In addition to having Dicker Data 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.

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Additional Tools for Dicker Stock Analysis

When running Dicker Data's price analysis, check to measure Dicker Data'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 Dicker Data is operating at the current time. Most of Dicker Data's value examination focuses on studying past and present price action to predict the probability of Dicker Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dicker Data's price. Additionally, you may evaluate how the addition of Dicker Data to your portfolios can decrease your overall portfolio volatility.