Science Gross Profit Trend from 2010 to 2022

SAIC
 Stock
  

USD 93.69  1.20  1.26%   

Science Applications Gross Profit is decreasing over the years with slightly volatile fluctuation. Ongoing Gross Profit is projected to grow to about 423.1 M this year. From 2010 to 2022 Science Applications Gross Profit quarterly data regression line had arithmetic mean of 379,769,838 and slope of (4,658,806).
  
Check Science Applications financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Science main balance sheet or income statement drivers, such as Direct Expenses of 6.4 B, Consolidated Income of 153.5 M or Cost of Revenue of 4.6 B, as well as many exotic indicators such as Interest Coverage of 4.48, Long Term Debt to Equity of 1.46 or Calculated Tax Rate of 22.1. Science financial statements analysis is a perfect complement when working with Science Applications Valuation or Volatility modules. It can also supplement Science Applications' financial leverage analysis and stock options assessment as well as various Science Applications Technical models . Additionally, take a look at the analysis of Science Applications Correlation against competitors.

Science Gross Profit Breakdown

Showing smoothed Gross Profit of Science Applications International with missing and latest data points interpolated. Gross profit is a required income statement account that reflects total revenue of Science Applications International minus its cost of goods sold. It is profit before Science Applications operating expenses, interest payments and taxes. Gross profit is also known as gross margin. Aggregate revenue Revenues less cost of revenue [CoR] directly attributable to the revenue generation activity.Science Applications' Gross Profit historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Science Applications' overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported 859 M10 Years Trend
Decreasing
Slightly volatile
   Gross Profit   
Share
       Timeline  

Science Gross Profit Regression Statistics

Arithmetic Mean 379,769,838
Geometric Mean 377,827,342
Coefficient Of Variation 10.39
Mean Deviation 35,976,799
Median 411,000,000
Standard Deviation 39,447,218
Range 90,057,895
R-Value(0.46)
R-Squared 0.21
Significance 0.11
Slope(4,658,806)

Science Gross Profit History

2016333 M
2021382.9 M
2022423.1 M

About Science Applications Financial Statements

There are typically three primary documents that fall into the category of financial statements. These documents include Science Applications income statement, its balance sheet, and the statement of cash flows. Science Applications investors use historical funamental indicators, such as Science Applications's Gross Profit, to determine how well the company is positioned to perform in the future. Although Science Applications investors may use each financial statement separately, they are all related. The changes in Science Applications's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Science Applications's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Science Applications Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Science Applications. Please read more on our technical analysis and fundamental analysis pages.
Last ReportedProjected for 2022
Gross Profit382.9 M423.1 M
Science Applications International Corporation provides technical, engineering, and enterprise information technology services primarily in the United States. Science Applications International Corporation was founded in 1969 and is headquartered in Reston, Virginia. Science Applications operates under Information Technology Services classification in the United States and is traded on New York Stock Exchange. It employs 26000 people.

Science Applications Investors Sentiment

The influence of Science Applications' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Science. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.
Investor biases related to Science Applications' public news can be used to forecast risks associated with investment in Science. The trend in average sentiment can be used to explain how an investor holding Science can time the market purely based on public headlines and social activities around Science Applications International. Please note that most equiteis that are difficult to arbitrage are affected by market sentiment the most.
Science Applications' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Science Applications' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Science Applications' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Science Applications.

Science Applications Implied Volatility

    
  6.07  
Science Applications' implied volatility exposes the market's sentiment of Science Applications International stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Science Applications' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Science Applications stock will not fluctuate a lot when Science Applications' options are near their expiration.
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 Science Applications 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, Science Applications' short interest history, or implied volatility extrapolated from Science Applications options trading.

Currently Active Assets on Macroaxis

Additionally, take a look at the analysis of Science Applications Correlation against competitors. Note that the Science Applications information on this page should be used as a complementary analysis to other Science Applications' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Fundamental Analysis module to view fundamental data based on most recent published financial statements.

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When running Science Applications price analysis, check to measure Science Applications' 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 Science Applications is operating at the current time. Most of Science Applications' value examination focuses on studying past and present price action to predict the probability of Science Applications' future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Science Applications' price. Additionally, you may evaluate how the addition of Science Applications to your portfolios can decrease your overall portfolio volatility.
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Is Science Applications' industry 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 Science Applications. If investors know Science 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 Science Applications 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 YOY
-0.065
Market Capitalization
5.3 B
Quarterly Revenue Growth YOY
0.063
Return On Assets
0.0557
Return On Equity
0.17
The market value of Science Applications is measured differently than its book value, which is the value of Science that is recorded on the company's balance sheet. Investors also form their own opinion of Science Applications' value that differs from its market value or its book value, called intrinsic value, which is Science Applications' 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 Science Applications' market value can be influenced by many factors that don't directly affect Science Applications' 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 Science Applications' value and its price as these two are different measures arrived at by different means. Investors typically determine Science Applications value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Science Applications' 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.