Datagroup Current Valuation vs. Price To Sales
| 0W19 Stock | 46.25 0.35 0.75% |
For Datagroup profitability analysis, we use financial ratios and fundamental drivers that measure the ability of Datagroup to generate income relative to revenue, assets, operating costs, and current equity. These fundamental indicators attest to how well Datagroup SE utilizes its assets to generate profit and value for its shareholders. The profitability module also shows relationships between Datagroup's most relevant fundamental drivers. It provides multiple suggestions of what could affect the performance of Datagroup SE over time as well as its relative position and ranking within its peers.
Datagroup |
Datagroup SE Price To Sales vs. Current Valuation Fundamental Analysis
Comparative valuation techniques use various fundamental indicators to help in determining Datagroup's current stock value. Our valuation model uses many indicators to compare Datagroup value to that of its competitors to determine the firm's financial worth. Datagroup SE is the top company in current valuation category among its peers. It also is number one stock in price to sales category among its peers . The ratio of Current Valuation to Price To Sales for Datagroup SE is about 719,032,956 . 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 Datagroup's earnings, one of the primary drivers of an investment's value.Datagroup Current Valuation vs. Competition
Datagroup SE is the top company in current valuation category among its peers. After adjusting for long-term liabilities, total market size of Industrials industry is presently estimated at about 7.74 Trillion. Datagroup adds roughly 552 Million in current valuation claiming only tiny portion of equities under Industrials industry.
Datagroup Price To Sales vs. Current Valuation
Enterprise Value is a firm valuation proxy that approximates the current market value of a company. It is typically used to determine the takeover or merger price of a firm. Unlike Market Cap, this measure takes into account the entire liquid asset, outstanding debt, and exotic equity instruments that the company has on its balance sheet. When a takeover occurs, the parent company will have to assume the target company's liabilities but will take possession of all cash and cash equivalents.
Datagroup |
| = | 552 M |
Enterprise Value can be a useful tool to compare companies with different capital structures. Long term liability and current cash or cash equivalents can have a huge impact on market valuation of a given company.
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.
Datagroup |
| = | 0.77 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.
Datagroup Price To Sales Comparison
Datagroup is currently under evaluation in price to sales category among its peers.
Datagroup Profitability Projections
The most important aspect of a successful company is its ability to generate a profit. For investors in Datagroup, profitability is also one of the essential criteria for including it into their portfolios because, without profit, Datagroup will eventually generate negative long term returns. The profitability progress is the general direction of Datagroup's change in net profit over the period of time. It can combine multiple indicators of Datagroup, 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 | 21.8 M | 22.9 M | |
| Operating Income | 45.8 M | 48.1 M | |
| Income Before Tax | 38.9 M | 40.9 M | |
| Net Income | 26.1 M | 27.4 M | |
| Income Tax Expense | 12.8 M | 13.5 M | |
| Total Other Income Expense Net | -6.9 M | -6.5 M | |
| Interest Income | 1.5 M | 1.5 M | |
| Net Income Applicable To Common Shares | 25.3 M | 15 M | |
| Change To Netincome | 15.2 M | 16 M |
Datagroup Profitability Driver Comparison
Profitability drivers are factors that can directly affect your investment outlook on Datagroup. 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 Datagroup 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 Datagroup's important profitability drivers and their relationship over time.
Use Datagroup 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 Datagroup 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 Datagroup will appreciate offsetting losses from the drop in the long position's value.Datagroup Pair Trading
Datagroup SE Pair Trading Analysis
The ability to find closely correlated positions to Datagroup could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datagroup 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 Datagroup - 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 Datagroup SE to buy it.
The correlation of Datagroup 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 Datagroup moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datagroup SE 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 Datagroup 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 Datagroup position
In addition to having Datagroup 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 Datagroup Stock Analysis
When running Datagroup's price analysis, check to measure Datagroup'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 Datagroup is operating at the current time. Most of Datagroup's value examination focuses on studying past and present price action to predict the probability of Datagroup's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datagroup's price. Additionally, you may evaluate how the addition of Datagroup to your portfolios can decrease your overall portfolio volatility.