Science Operating Income from 2010 to 2026
| SAIC Stock | USD 98.36 1.33 1.37% |
Operating Income | First Reported 2010-10-31 | Previous Quarter 139 M | Current Value 128 M | Quarterly Volatility 58.8 M |
Check Science Applications financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Science Applications' main balance sheet or income statement drivers, such as Depreciation And Amortization of 108.6 M, Interest Expense of 89.7 M or Total Revenue of 5.6 B, as well as many indicators such as Price To Sales Ratio of 0.84, Dividend Yield of 0.0314 or PTB Ratio of 5.42. Science financial statements analysis is a perfect complement when working with Science Applications Valuation or Volatility modules.
Science | Operating Income | Build AI portfolio with Science Stock |
Analyzing Science Applications's Operating Income over time reveals critical patterns in financial health and operational efficiency. This metric helps investors evaluate trends, identify inflection points, and make informed decisions based on historical performance. Understanding how Operating Income has evolved provides context for assessing Science Applications's current valuation and future prospects.
Latest Science Applications' Operating Income Growth Pattern
Below is the plot of the Operating Income of Science Applications International over the last few years. Operating Income is the amount of profit realized from Science Applications operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Science Applications International is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. It is earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations. Science Applications' Operating Income 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.
| Operating Income | 10 Years Trend |
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Operating Income |
| Timeline |
Science Operating Income Regression Statistics
| Arithmetic Mean | 394,479,412 | |
| Geometric Mean | 359,006,625 | |
| Coefficient Of Variation | 47.24 | |
| Mean Deviation | 146,214,533 | |
| Median | 339,450,000 | |
| Standard Deviation | 186,334,559 | |
| Sample Variance | 34720.6T | |
| Range | 653M | |
| R-Value | 0.26 | |
| Mean Square Error | 34534T | |
| R-Squared | 0.07 | |
| Significance | 0.31 | |
| Slope | 9,589,461 | |
| Total Sum of Squares | 555529.1T |
Science Operating Income History
Other Fundumenentals of Science Applications
Science Applications Operating Income component correlations
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About Science Applications Financial Statements
Science Applications stakeholders use historical fundamental indicators, such as Science Applications' Operating Income, to determine how well the company is positioned to perform in the future. Although Science Applications investors may analyze each financial statement separately, they are all interrelated. For example, changes in Science Applications' assets and liabilities are reflected in the revenues and expenses on Science Applications' income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Science Applications International. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Operating Income | 506.7 M | 339.4 M | |
| Non Operating Income Net Other | -5.4 M | -5.1 M |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether Science Applications offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Science Applications' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Science Applications International Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Science Applications International Stock:Check out the analysis of Science Applications Correlation against competitors. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Will IT Consulting & Other Services sector continue expanding? Could Science diversify its offerings? 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. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Science Applications data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.21) | Dividend Share 1.48 | Earnings Share 7.89 | Revenue Per Share | Quarterly Revenue Growth (0.06) |
Science Applications's market price often diverges from its book value, the accounting figure shown on Science's balance sheet. Smart investors calculate Science Applications' intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Science Applications' trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental 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 if Science Applications is a good investment 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.