Science Applications International Stock Analysis

Science Stock Analysis Notes

About 87.0% of the company shares are owned by institutional investors. The book value of Science Applications was at this time reported as 32.98. The company recorded earning per share (EPS) of 8.23. Science Applications last dividend was issued on the 10th of October 2025. 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. To find out more about Science Applications International contact Toni TownesWhitley at 703 676 4300 or learn more at https://www.saic.com.

Science Applications Investment Alerts

Science Applications Upcoming and Recent Events

Science Largest EPS Surprises

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Science Applications Environmental, Social, and Governance (ESG) Scores

Science Applications Thematic Classifications

Science Stock Institutional Investors

Note, although Science Applications' institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Science Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 4.73 B.

Science Profitablity

The company has Profit Margin (PM) of 0.05 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.08 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.08.

Management Efficiency

Science Applications has return on total asset (ROA) of 0.0648 % which means that it generated a profit of $0.0648 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.254 %, meaning that it created $0.254 on every $100 dollars invested by stockholders. Science Applications' management efficiency ratios could be used to measure how well Science Applications manages its routine affairs as well as how well it operates its assets and liabilities. At present, Science Applications' Return On Capital Employed is projected to increase slightly based on the last few years of reporting. The current year's Return On Equity is expected to grow to 0.26, whereas Return On Assets are forecasted to decline to 0.07. At present, Science Applications' Other Assets are projected to increase significantly based on the last few years of reporting. The current year's Return On Tangible Assets is expected to grow to 0.24, whereas Total Assets are forecasted to decline to about 4.7 B.

Technical Drivers

As of the 7th of October, Science Applications has the Coefficient Of Variation of (816.90), risk adjusted performance of (0.07), and Variance of 2.61. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Science Applications, as well as the relationship between them.

Science Applications Price Movement Analysis

Science Applications Insider Trading Activities

Science Applications Outstanding Bonds

Science Applications Predictive Daily Indicators

Science Applications Corporate Filings

Science Applications Forecast Models

Science Applications' time-series forecasting models are one of many Science Applications' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Science Applications' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Science Applications prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Science shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Science Applications. By using and applying Science Stock analysis, traders can create a robust methodology for identifying Science entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Science analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Science analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Science Applications International stock analysis indicators help investors evaluate how Science Applications stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Science Applications shares will generate the highest return on investment. By understating and applying Science Applications stock analysis, traders can identify Science Applications position entry and exit signals to maximize returns.

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 the 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.