Data Storage EBITDA vs. Number Of Employees
| DTSTW Stock | USD 0.37 0.03 7.50% |
EBITDA | First Reported 2010-12-31 | Previous Quarter 1.8 M | Current Value 1.9 M | Quarterly Volatility 1.4 M |
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Gross Profit Margin | 0.31 | 0.3837 |
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For Data Storage profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Data Storage to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Data Storage utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Data Storage's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Data Storage over time as well as its relative position and ranking within its peers.
Data |
Is Internet Services & Infrastructure space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data Storage. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data Storage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 5.733 | Revenue Per Share 3.682 | Quarterly Revenue Growth (0.17) | Return On Assets (0.01) | Return On Equity 0.0079 |
The market value of Data Storage is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data Storage's value that differs from its market value or its book value, called intrinsic value, which is Data Storage's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data Storage's market value can be influenced by many factors that don't directly affect Data Storage's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data Storage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Storage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Storage'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 Storage Number Of Employees vs. EBITDA Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Data Storage's current stock value. Our valuation model uses many indicators to compare Data Storage value to that of its competitors to determine the firm's financial worth. Data Storage is one of the top stocks in ebitda category among its peers. It also is one of the top stocks in number of employees category among its peers . The ratio of EBITDA to Number Of Employees for Data Storage is about 35,616 . At this time, Data Storage's EBITDA is fairly stable compared to the past year. Comparative valuation analysis is a catch-all technique that is used if you cannot value Data Storage by discounting back its dividends or cash flows. It compares the stock's price multiples to nearest competition to determine if the stock is relatively undervalued or overvalued.Data Number Of Employees vs. EBITDA
EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Data Storage |
| = | 1.82 M |
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
Number of Employees shows the total number of permanent full time and part time employees working for a given company and processed through its payroll.
Data Storage |
| = | 51 |
Employee typically refers to an individual working under a contract of employment, whether oral or written, express or implied, and has recognized his or her rights and duties. Most officers of corporations are included as employees and contractors are generally excluded.
Data Number Of Employees vs Competition
Data Storage is one of the top stocks in number of employees category among its peers. The total workforce of Information Technology industry is currently estimated at about 267. Data Storage retains roughly 51.0 in number of employees claiming about 19% of equities under Information Technology industry.
Data Storage Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Data Storage, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Data Storage will eventually generate negative long term returns. The profitability progress is the general direction of Data Storage's change in net profit over the period of time. It can combine multiple indicators of Data Storage, 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 | ||
| Operating Income | -168.4 K | -176.8 K | |
| Income Before Tax | 299.3 K | 314.3 K | |
| Total Other Income Expense Net | 467.7 K | 491.1 K | |
| Net Income | 381.6 K | 400.7 K | |
| Income Tax Expense | -82.3 K | -78.1 K | |
| Interest Income | 542.2 K | 569.3 K | |
| Net Income Applicable To Common Shares | 63.6 K | 66.8 K | |
| Net Interest Income | 374.9 K | 393.7 K | |
| Net Loss | -2.8 M | -2.6 M | |
| Net Income Per Share | 0.06 | 0.06 | |
| Income Quality | 10.15 | 10.66 | |
| Net Income Per E B T | 1.27 | 1.34 |
Data Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Data Storage. 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 Storage 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 Storage's important profitability drivers and their relationship over time.
Use Data Storage 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 Storage 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 Storage will appreciate offsetting losses from the drop in the long position's value.Data Storage Pair Trading
Data Storage Pair Trading Analysis
The ability to find closely correlated positions to Data Storage 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 Storage 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 Storage - 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 Storage to buy it.
The correlation of Data Storage 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 Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Storage 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 Storage 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 Data Storage position
In addition to having Data Storage 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?
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Additional Tools for Data Stock Analysis
When running Data Storage's price analysis, check to measure Data Storage'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 Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage'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 Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.