Tower Semiconductor Net Income From Continuing Ops Over Time
| TSEM Stock | USD 50.95 0.40 0.79% |
With this module, investors can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible portfolio assets.
Check out Tower Semiconductor Performance and Tower Semiconductor Correlation. Tower |
Is Semiconductors & Semiconductor Equipment 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 Tower Semiconductor. If investors know Tower 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 Tower Semiconductor 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 0.043 | Earnings Share 1.84 | Revenue Per Share 12.536 | Quarterly Revenue Growth (0.02) | Return On Assets 0.0402 |
The market value of Tower Semiconductor is measured differently than its book value, which is the value of Tower that is recorded on the company's balance sheet. Investors also form their own opinion of Tower Semiconductor's value that differs from its market value or its book value, called intrinsic value, which is Tower Semiconductor's 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 Tower Semiconductor's market value can be influenced by many factors that don't directly affect Tower Semiconductor's 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 Tower Semiconductor's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tower Semiconductor is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tower Semiconductor's 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.
Cross Equities Net Income From Continuing Ops Analysis
Compare Tower Semiconductor and related stocks such as Nova, AudioCodes, and Nice Ltd ADR Net Income From Continuing Ops Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| NVMI | 10.5 M | 10.5 M | 10.5 M | 10.5 M | 18.7 M | 15.7 M | 9.6 M | 46.5 M | 54.4 M | 35.2 M | 47.9 M | 93.1 M | 140.2 M | 134.3 M | 141.1 M |
| AUDC | (86 K) | (86 K) | (86 K) | (86 K) | (86 K) | 366 K | 16.2 M | 4 M | 13.5 M | 4 M | 27.2 M | 33.8 M | 28.5 M | 12.7 M | 15.4 M |
| NICE | 52.5 M | 52.5 M | 52.5 M | 52.5 M | 100.2 M | 140.6 M | 123.1 M | 143.3 M | 159.3 M | 185.9 M | 196.3 M | 199.2 M | 265.9 M | 327.8 M | 189.4 M |
| ESLT | 190.7 M | 190.7 M | 190.7 M | 190.7 M | 179.4 M | 206.9 M | 238.8 M | 240.6 M | 208.7 M | 228.7 M | 238 M | 274.7 M | 275.5 M | 270.9 M | 255.3 M |
| CAMT | 7 K | 7 K | 7 K | 7 K | 3.3 M | (12.8 M) | 4.7 M | 1.7 M | 18.7 M | 20.8 M | 21.8 M | 60.3 M | 79.9 M | 79.5 M | 83.5 M |
Tower Semiconductor and related stocks such as Nova, AudioCodes, and Nice Ltd ADR Net Income From Continuing Ops description
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Check out Tower Semiconductor Performance and Tower Semiconductor Correlation. To learn how to invest in Tower Stock, please use our How to Invest in Tower Semiconductor guide.You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Tower Semiconductor technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.