Science Applications International Stock Market Value
| SAIC Stock | USD 86.61 3.16 3.79% |
| Symbol | Science |
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 7.82 | 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.
Science Applications 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Science Applications' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Science Applications.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Science Applications on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Science Applications International or generate 0.0% return on investment in Science Applications over 90 days. Science Applications is related to or competes with Paysafe, Avnet, NIQ Global, Verra Mobility, Ingram Micro, Paymentus Holdings, and Vicor. Science Applications International Corporation provides technical, engineering, and enterprise information technology se... More
Science Applications Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Science Applications' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Science Applications International upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 32.33 | |||
| Value At Risk | (3.84) | |||
| Potential Upside | 3.79 |
Science Applications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Science Applications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Science Applications' standard deviation. In reality, there are many statistical measures that can use Science Applications historical prices to predict the future Science Applications' volatility.| Risk Adjusted Performance | 0.0014 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.04) |
Science Applications February 15, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.0014 | |||
| Market Risk Adjusted Performance | (0.03) | |||
| Mean Deviation | 1.74 | |||
| Coefficient Of Variation | (13,090) | |||
| Standard Deviation | 3.37 | |||
| Variance | 11.33 | |||
| Information Ratio | (0.03) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.29) | |||
| Treynor Ratio | (0.04) | |||
| Maximum Drawdown | 32.33 | |||
| Value At Risk | (3.84) | |||
| Potential Upside | 3.79 | |||
| Skewness | 0.1671 | |||
| Kurtosis | 15.28 |
Science Applications Backtested Returns
At this point, Science Applications is very steady. Science Applications owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0161, which indicates the firm had a 0.0161 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Science Applications International, which you can use to evaluate the volatility of the company. Please validate Science Applications' Coefficient Of Variation of (13,090), variance of 11.33, and Risk Adjusted Performance of 0.0014 to confirm if the risk estimate we provide is consistent with the expected return of 0.0557%. Science Applications has a performance score of 1 on a scale of 0 to 100. The entity has a beta of 0.81, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Science Applications' returns are expected to increase less than the market. However, during the bear market, the loss of holding Science Applications is expected to be smaller as well. Science Applications right now has a risk of 3.46%. Please validate Science Applications maximum drawdown, daily balance of power, period momentum indicator, as well as the relationship between the skewness and day typical price , to decide if Science Applications will be following its existing price patterns.
Auto-correlation | -0.69 |
Very good reverse predictability
Science Applications International has very good reverse predictability. Overlapping area represents the amount of predictability between Science Applications time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Science Applications price movement. The serial correlation of -0.69 indicates that around 69.0% of current Science Applications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.69 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 73.55 |
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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 Science Applications Correlation, Science Applications Volatility and Science Applications Performance module to complement your research on Science Applications. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
Science Applications technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.