This module uses fundamental data of Science Applications to approximate its Piotroski F score. Science Applications F Score is determined by combining nine binary scores representing 3 distinct fundamental categories of Science Applications International. These three categories are profitability, efficiency, and funding. Some research analysts and sophisticated value traders use Piotroski F Score to find opportunities outside of the conventional market and financial statement analysis.They believe that some of the new information about Science Applications financial position does not get reflected in the current market share price suggesting a possibility of arbitrage. Check out Science Applications Altman Z Score, Science Applications Correlation, Science Applications Valuation, as well as analyze Science Applications Alpha and Beta and Science Applications Hype Analysis.
Science
Piotroski F Score
Change To Inventory
Change In Cash
Stock Based Compensation
Free Cash Flow
Change In Working Capital
Begin Period Cash Flow
Other Cashflows From Financing Activities
Depreciation
Other Non Cash Items
Capital Expenditures
Total Cash From Operating Activities
Change To Account Receivables
Net Income
Total Cash From Financing Activities
End Period Cash Flow
Other Cashflows From Investing Activities
Change To Liabilities
Dividends Paid
Sale Purchase Of Stock
Change Receivables
Net Borrowings
Total Cashflows From Investing Activities
Cash And Cash Equivalents Changes
Change To Netincome
Cash Flows Other Operating
Change To Operating Activities
Investments
Issuance Of Capital Stock
Common Stock Shares Outstanding
Total Assets
Short Long Term Debt Total
Other Current Liab
Total Current Liabilities
Total Stockholder Equity
Property Plant And Equipment Net
Current Deferred Revenue
Net Debt
Retained Earnings
Accounts Payable
Cash
Non Current Assets Total
Non Currrent Assets Other
Cash And Short Term Investments
Net Receivables
Good Will
Liabilities And Stockholders Equity
Non Current Liabilities Total
Inventory
Other Current Assets
Other Stockholder Equity
Total Liab
Property Plant And Equipment Gross
Total Current Assets
Accumulated Other Comprehensive Income
Short Term Debt
Intangible Assets
Other Liab
Other Assets
Long Term Debt
Property Plant Equipment
Net Tangible Assets
Noncontrolling Interest In Consolidated Entity
Retained Earnings Total Equity
Long Term Debt Total
Capital Surpluse
Deferred Long Term Liab
Non Current Liabilities Other
Common Stock
Short Long Term Debt
Net Invested Capital
Long Term Investments
Net Working Capital
Capital Lease Obligations
Depreciation And Amortization
Interest Expense
Total Revenue
Gross Profit
Other Operating Expenses
Operating Income
Ebit
Ebitda
Cost Of Revenue
Total Operating Expenses
Income Before Tax
Total Other Income Expense Net
Income Tax Expense
Selling General Administrative
Research Development
Net Income Applicable To Common Shares
Net Income From Continuing Ops
Non Recurring
Selling And Marketing Expenses
Tax Provision
Minority Interest
Net Interest Income
Non Operating Income Net Other
Reconciled Depreciation
Probability Of Bankruptcy
At present, Science Applications' Debt To Equity is projected to slightly decrease based on the last few years of reporting. The current year's Debt To Assets is expected to grow to 0.41, whereas Short and Long Term Debt Total is forecasted to decline to about 1.9 B.
At this time, it appears that Science Applications' Piotroski F Score is Healthy. Although some professional money managers and academia have recently criticized Piotroski F-Score model, we still consider it an effective method of predicting the state of the financial strength of any organization that is not predisposed to accounting gimmicks and manipulations. Using this score on the criteria to originate an efficient long-term portfolio can help investors filter out the purely speculative stocks or equities playing fundamental games by manipulating their earnings..
The critical factor to consider when applying the Piotroski F Score to Science Applications is to make sure Science is not a subject of accounting manipulations and runs a healthy internal audit department. So, if Science Applications' auditors report directly to the board (not management), the managers will be reluctant to manipulate simply due to the fear of punishment. On the other hand, the auditors will be free to investigate the ledgers properly because they know that the board has their back. Below are the main accounts that are used in the Piotroski F Score model. By analyzing the historical trends of the mains drivers, investors can determine if Science Applications' financial numbers are properly reported.
One of the toughest challenges investors face today is learning how to quickly synthesize historical financial statements and information provided by the company, SEC reporting, and various external parties in order to project the various growth rates. Understanding the correlation between Science Applications' different financial indicators related to revenue, expenses, operating profit, and net earnings helps investors identify and prioritize their investing strategies towards Science Applications in a much-optimized way.
F-Score is one of many stock grading techniques developed by Joseph Piotroski, a professor of accounting at the Stanford University Graduate School of Business. It was published in 2002 under the paper titled Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers. Piotroski F Score is based on binary analysis strategy in which stocks are given one point for passing 9 very simple fundamental tests, and zero point otherwise. According to Mr. Piotroski's analysis, his F-Score binary model can help to predict the performance of low price-to-book stocks.
Short Long Term Debt Total
1.9 Billion
At present, Science Applications' Short and Long Term Debt Total is projected to increase significantly based on the last few years of reporting.
Science Applications ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Science Applications' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Science Applications' managers, analysts, and investors.
Environmental
Governance
Social
About Science Applications Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Science Applications International's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Science Applications using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Science Applications International based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
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:
You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
Is IT Consulting & Other Services space 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
(0.65)
Dividend Share
1.48
Earnings Share
5.59
Revenue Per Share
140.869
Quarterly Revenue Growth
0.019
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 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.