Computer Sciences Corp Stock Gross Profit
Computer Sciences Corp fundamentals help investors to digest information that contributes to Computer Sciences' financial success or failures. It also enables traders to predict the movement of Computer Stock. The fundamental analysis module provides a way to measure Computer Sciences' intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Computer Sciences stock.
Computer |
Computer Sciences Corp Company Gross Profit Analysis
Computer Sciences' 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.
Current Computer Sciences Gross Profit | 2.19 B |
Most of Computer Sciences' fundamental indicators, such as Gross Profit, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Computer Sciences Corp is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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.
CompetitionAccording to the company disclosure, Computer Sciences Corp reported 2.19 B of gross profit. This is 170.3% higher than that of the sector and 35.15% higher than that of the Gross Profit industry. The gross profit for all United States stocks is 91.99% higher than that of the company.
Computer Gross Profit Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Computer Sciences' direct or indirect competition against its Gross Profit to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Computer Sciences could also be used in its relative valuation, which is a method of valuing Computer Sciences by comparing valuation metrics of similar companies.Computer Sciences is currently under evaluation in gross profit category among related companies.
Computer Fundamentals
| Return On Equity | -76.21 | |||
| Return On Asset | -0.0029 | |||
| Profit Margin | (0) % | |||
| Operating Margin | 4.28 % | |||
| Current Valuation | 11.01 B | |||
| Shares Outstanding | 170.88 M | |||
| Shares Owned By Insiders | 0.39 % | |||
| Shares Owned By Institutions | 95.20 % | |||
| Number Of Shares Shorted | 11.55 M | |||
| Price To Earning | (88.70) X | |||
| Price To Book | 4.18 X | |||
| Price To Sales | 1.16 X | |||
| Revenue | 11.38 B | |||
| Gross Profit | 2.19 B | |||
| EBITDA | 1.27 B | |||
| Net Income | 344.1 M | |||
| Cash And Equivalents | 149.1 M | |||
| Cash Per Share | 7.49 X | |||
| Total Debt | 2.2 B | |||
| Debt To Equity | 1.42 % | |||
| Current Ratio | 1.23 X | |||
| Book Value Per Share | 27.52 X | |||
| Cash Flow From Operations | 1.31 B | |||
| Earnings Per Share | (0.78) X | |||
| Number Of Employees | 59 K | |||
| Beta | 1.17 | |||
| Market Capitalization | 9.75 B | |||
| Total Asset | 8.61 B | |||
| Retained Earnings | 4.53 B | |||
| Working Capital | 596.2 M | |||
| Current Asset | 3.3 B | |||
| Current Liabilities | 2.71 B | |||
| Z Score | 3.4 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Computer Sciences in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Computer Sciences' short interest history, or implied volatility extrapolated from Computer Sciences options trading.
Pair Trading with Computer Sciences
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 Computer Sciences 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 Computer Sciences will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Cincinnati Financial could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Cincinnati Financial 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 Cincinnati Financial - 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 Cincinnati Financial to buy it.
The correlation of Cincinnati Financial 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 Cincinnati Financial moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Cincinnati Financial 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 Cincinnati Financial 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.Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in state. You can also try the Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
Other Consideration for investing in Computer Stock
If you are still planning to invest in Computer Sciences Corp check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Computer Sciences' history and understand the potential risks before investing.
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