Dicker Data Price To Sales vs. Shares Owned By Institutions
| DDR Stock | 8.37 0.07 0.83% |
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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Dicker Data Shares Owned By Institutions vs. Price To Sales 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 price to sales category among its peers. It also is one of the top stocks in shares owned by institutions category among its peers producing about 12.13 of Shares Owned By Institutions per Price To Sales. 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 Shares Owned By Institutions vs. Price To Sales
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.
Dicker Data |
| = | 0.67 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.
Shares Owned by Institutions show the percentage of the outstanding shares of stock issued by a company that is currently owned by other institutions such as asset management firms, hedge funds, or investment banks. Many investors like investing in companies with a large percentage of the firm owned by institutions because they believe that larger firms such as banks, pension funds, and mutual funds, will invest when they think that good things are going to happen.
Dicker Data |
| = | 8.17 % |
Since Institution investors conduct a lot of independent research they tend to be more involved and usually more knowledgeable about entities they invest as compared to amateur investors.
Dicker Shares Owned By Institutions Comparison
Dicker Data is currently under evaluation in shares owned by institutions 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 Reported | Projected for Next Year | ||
| Accumulated Other Comprehensive Income | 7 K | 6.7 K | |
| Operating Income | 180.7 M | 189.8 M | |
| Income Before Tax | 116.4 M | 122.2 M | |
| Income Tax Expense | 34.3 M | 36 M | |
| Total Other Income Expense Net | -64.3 M | -61.1 M | |
| Net Income | 82.1 M | 86.3 M | |
| Net Income Applicable To Common Shares | 84 M | 88.2 M | |
| Net Income From Continuing Ops | 82.1 M | 45.9 M | |
| Interest Income | 995 K | 945.2 K | |
| Net Interest Income | -19.4 M | -18.5 M | |
| Change To Netincome | 230.4 K | 241.9 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.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.Did You Try This Idea?
Run Energy Funds Thematic Idea Now
Energy Funds
Funds or Etfs investing in energy sector, natural resources, and ecology. The Energy Funds theme has 41 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 Energy Funds Theme or any other thematic opportunities.
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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.