Science Competitors
| SAIC Stock | USD 82.19 15.73 16.06% |
Science Applications vs Concentrix Correlation
Very poor diversification
The correlation between Science Applications Internati and CNXC is 0.86 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Science Applications Internati and CNXC in the same portfolio, assuming nothing else is changed.
Moving together with Science Stock
Moving against Science Stock
| 0.68 | ETHZ | ETHZilla Symbol Change | PairCorr |
| 0.6 | CN6 | BII Railway Transpor | PairCorr |
| 0.58 | DM | Datametrex AI | PairCorr |
| 0.47 | CMRC | Commerce Earnings Call Tomorrow | PairCorr |
Science Applications Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Science Applications and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Science and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of Science Applications does not affect the price movement of the other competitor.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Science Stock performing well and Science Applications Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Science Applications' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| PSFE | 2.91 | (0.59) | 0.00 | (0.34) | 0.00 | 5.73 | 31.29 | |||
| AVT | 1.43 | 0.41 | 0.36 | 0.45 | 0.72 | 3.60 | 14.38 | |||
| NIQ | 2.62 | (0.16) | 0.00 | (0.12) | 0.00 | 4.93 | 25.91 | |||
| VRRM | 1.25 | (0.35) | 0.00 | (0.46) | 0.00 | 2.29 | 8.35 | |||
| INGM | 1.59 | (0.14) | 0.00 | (0.01) | 0.00 | 3.53 | 9.17 | |||
| PAY | 2.04 | (0.56) | 0.00 | (0.53) | 0.00 | 3.63 | 14.64 | |||
| VICR | 2.80 | 0.65 | 0.18 | 0.38 | 3.28 | 6.34 | 23.16 | |||
| DLO | 1.95 | (0.26) | 0.00 | (0.05) | 0.00 | 3.11 | 11.21 | |||
| SLAB | 2.67 | 0.69 | 0.35 | 0.42 | 1.70 | 4.55 | 49.42 | |||
| CNXC | 2.58 | (0.07) | 0.01 | 0.05 | 3.74 | 6.21 | 19.52 |
Cross Equities Net Income Analysis
Compare Science Applications and related stocks such as Paysafe, Avnet Inc, and NIQ Global Intelligence Net Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PSFE | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (39.7 M) | (110.2 M) | (126.7 M) | (111 M) | (1.9 B) | (20.3 M) | 22.2 M | 19.9 M | 20.9 M |
| AVT | 23.9 M | 567 M | 450.1 M | 545.6 M | 571.9 M | 506.5 M | 525.3 M | (156.4 M) | 176.3 M | (31.1 M) | 193.1 M | 692.4 M | 770.8 M | 498.7 M | 240.2 M | 276.2 M | 209.5 M |
| VRRM | 11.4 M | 11.4 M | 11.4 M | 11.4 M | 11.4 M | 11.4 M | 29 M | 1.4 M | (58.4 M) | 17.1 M | (4.6 M) | 41.4 M | 92.5 M | 57 M | 31.4 M | 36.2 M | 24 M |
| INGM | 310.6 M | 310.6 M | 310.6 M | 310.6 M | 266.7 M | 215.1 M | 100.4 M | 199 M | 352.2 M | 503.6 M | 640.5 M | 475.2 M | 2.4 B | 352.7 M | 264.2 M | 303.9 M | 556.8 M |
| PAY | (63.8 M) | 282.4 M | 65 M | (296.1 M) | (38.1 M) | 79.1 M | (9.3 M) | (173.9 M) | 13.7 M | 13.7 M | 13.7 M | 9.3 M | (513 K) | 22.3 M | 44.2 M | 50.8 M | 53.3 M |
| VICR | 2.5 M | 8.8 M | (4.1 M) | (23.6 M) | (13.9 M) | 4.9 M | (6.2 M) | 167 K | 31.7 M | 14.1 M | 17.9 M | 56.6 M | 25.4 M | 53.6 M | 6.1 M | 7 M | 10.8 M |
| DLO | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 15.6 M | 28.2 M | 77.9 M | 108.7 M | 149 M | 120.4 M | 138.5 M | 91.6 M |
| SLAB | 11 M | 35.5 M | 63.5 M | 49.8 M | 38 M | 29.6 M | 61.5 M | 47.1 M | 83.6 M | 19.3 M | 12.5 M | 2.1 B | 91.4 M | (34.5 M) | (191 M) | (64.9 M) | (61.7 M) |
| CNXC | 72.2 M | 72.2 M | 72.2 M | 72.2 M | 72.2 M | 72.2 M | 72.2 M | 48.3 M | 117.2 M | 164.8 M | 405.6 M | 435 M | 313.8 M | 251.2 M | (1.3 B) | (1.2 B) | (1.1 B) |
Science Applications and related stocks such as Paysafe, Avnet Inc, and NIQ Global Intelligence Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in Science Applications financial statement analysis. It represents the amount of money remaining after all of Science Applications International operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Science Applications Competitive Analysis
The better you understand Science Applications competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Science Applications' competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Science Applications' competition over several years is one of the best ways to analyze its investment potential.| Better Than Average | Worse Than Peers | View Performance Chart |
Science Applications Competition Performance Charts
Five steps to successful analysis of Science Applications Competition
Science Applications' competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Science Applications in relation to its competition. Science Applications' competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Science Applications in the market, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact Science Applications' competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Science Applications, and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
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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.