Science Beneish M Score

SAIC
 Stock
  

USD 92.77  1.20  1.28%   

This module uses fundamental data of Science Applications to approximate the value of its Beneish M Score. Science Applications M Score tells investors if the company management is likely to be manipulating earnings. The score is calculated using eight financial indicators that are adjusted by a specific multiplier. Please note, the M Score is a probabilistic model and cannot detect companies that manipulate their earnings with 100% accuracy. Additionally, take a look at Science Applications Piotroski F Score and Science Applications Altman Z Score analysis.
  
Science Applications Total Debt is projected to decrease significantly based on the last few years of reporting. The past year's Total Debt was at 451.8 Million. The current year Debt Current is expected to grow to about 17.1 M, whereas Debt Non Current is forecasted to decline to about 437.6 M.
At this time, it appears that Science Applications is an unlikely manipulator. The earnings manipulation may begin if Science Applications' top management creates an artificial sense of financial success, forcing the stock price to be traded at a high price-earnings multiple than it should be. In general, excessive earnings management by Science Applications executives may lead to removing some of the operating profits from subsequent periods to inflate earnings in the following periods. This way, the manipulation of Science Applications' earnings can lead to misrepresentations of actual financial condition, taking the otherwise loyal stakeholders on to the path of questionable ethical practices and plain fraud.
-2.95
Beneish M Score - Unlikely Manipulator
Elasticity of Receivables1.05Focus
Asset QualityN/AFocus
Expense Coverage1.13Focus
Gross Margin Strengs1.03Focus
Accruals Factor1.13Focus
Depreciation Resistance0.73Focus
Net Sales Growth0.98Focus
Financial Leverage Condition0.99Focus

Science Applications Beneish M-Score Indicator Trends

The cure to earnings manipulation is the transparency of financial reporting. It will typically remove the temptation of the top executives to inflate earnings (i.e., to promote the idea of 'winning at any cost'). Because a healthy internal audit department can enhance transparency, the board should promote the auditors' access to all the record-keeping systems across the enterprise. For example, 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.
Current ValueLast YearChange From Last Year 10 Year Trend
Revenues7.2 B7.4 B
Fairly Down
Increasing
Slightly volatile
Selling General and Administrative Expense91.7 M82.8 M
Significantly Up
Decreasing
Slightly volatile
Net Cash Flow from Operations513.7 M518 M
Slightly Down
Increasing
Slightly volatile
Depreciation Amortization and Accretion16.6 M11.7 M
Significantly Up
Decreasing
Slightly volatile
Total Assets5.5 B5.7 B
Sufficiently Down
Increasing
Slightly volatile
Property Plant and Equipment Net51.5 M54 M
Sufficiently Down
Decreasing
Slightly volatile
Trade and Non Trade Receivables736.4 M714.1 M
Sufficiently Up
Increasing
Slightly volatile
Total Liabilities3.9 B4.1 B
Notably Down
Increasing
Slightly volatile
Current Assets1.4 B1.3 B
Moderately Up
Decreasing
Slightly volatile
Assets Non Current478.4 M407.7 M
Fairly Up
Decreasing
Slightly volatile
Current Liabilities1.3 B1.4 B
Sufficiently Down
Increasing
Slightly volatile
Liabilities Non Current459.6 M455.4 M
Slightly Up
Decreasing
Slightly volatile
Total Debt454.7 M451.8 M
Slightly Up
Decreasing
Slightly volatile
Debt Current17.1 M11.7 M
Way Up
Decreasing
Slightly volatile
Debt Non Current437.6 M440.1 M
Slightly Down
Decreasing
Slightly volatile
Operating Income437.9 M462 M
Notably Down
Increasing
Slightly volatile
Gross Margin11.9411.6175
Fairly Up
Increasing
Slightly volatile

Science Applications Beneish M-Score Driver Matrix

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 detect the potential manipulation of earnings. 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. Analyzing correlations between earnings drivers directly associated with dollar figures is the most effective way to find Science Applications' degree of accounting gimmicks and manipulations.

About Science Applications Beneish M Score

M-Score is one of many grading techniques for value stocks. It was developed by Professor M. Daniel Beneish of the Kelley School of Business at Indiana University and published in 1999 under the paper titled The Detection of Earnings Manipulation. The Beneish score is a multi-factor model that utilizes financial identifiers to compile eight variables used to classify whether a company has manipulated its reported earnings. The variables are built from the officially filed financial statements to create a final score call 'M Score.' The score helps to identify companies that are likely to manipulate their profits if they show deteriorating gross margins, operating expenses, and leverage against growing revenue.

Depreciation Amortization and Accretion

16.6 Million

Science Applications Depreciation Amortization and Accretion is projected to decrease significantly based on the last few years of reporting. The past year's Depreciation Amortization and Accretion was at 11.7 Million

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.
Please read more on our fundamental analysis page.
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 estimate score, the more favorable is the investor's outlook on Science Applications.

Science Applications Implied Volatility

    
  3.35  
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.

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Additionally, take a look at Science Applications Piotroski F Score and Science Applications Altman Z Score analysis. 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.

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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
5.2 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.