Science Receivables Turnover from 2010 to 2025

SAIC Stock  USD 114.18  2.03  1.81%   
Science Applications' Receivables Turnover is increasing over the years with slightly volatile fluctuation. Overall, Receivables Turnover is expected to go to 8.09 this year. During the period from 2010 to 2025 Science Applications Receivables Turnover annual values regression line had geometric mean of  5.66 and mean square error of  1.37. View All Fundamentals
 
Receivables Turnover  
First Reported
2010-12-31
Previous Quarter
5.80436761
Current Value
8.09
Quarterly Volatility
1.81200612
 
Credit Downgrade
 
Yuan Drop
 
Covid
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 110.4 M, Interest Expense of 86.4 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 0.0327 or PTB Ratio of 5.53. Science financial statements analysis is a perfect complement when working with Science Applications Valuation or Volatility modules.
  
Check out the analysis of Science Applications Correlation against competitors.

Latest Science Applications' Receivables Turnover Growth Pattern

Below is the plot of the Receivables Turnover of Science Applications International over the last few years. It is Science Applications' Receivables Turnover 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.
Receivables Turnover10 Years Trend
Slightly volatile
   Receivables Turnover   
       Timeline  

Science Receivables Turnover Regression Statistics

Arithmetic Mean5.91
Geometric Mean5.66
Coefficient Of Variation30.66
Mean Deviation1.67
Median4.44
Standard Deviation1.81
Sample Variance3.28
Range3.7073
R-Value0.78
Mean Square Error1.37
R-Squared0.61
Significance0.0003
Slope0.30
Total Sum of Squares49.25

Science Receivables Turnover History

2025 8.09
2024 5.8
2019 8.14

About Science Applications Financial Statements

Science Applications stakeholders use historical fundamental indicators, such as Science Applications' Receivables Turnover, 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 ReportedProjected for Next Year
Receivables Turnover 5.80  8.09 

Also Currently Popular

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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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)
Earnings Share
5.94
Revenue Per Share
140.869
Quarterly Revenue Growth
0.019
Return On Assets
0.0583
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.