NVIDIA Change To Inventory Over Time
| NVDA Stock | USD 138.25 2.91 2.15% |
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 NVIDIA Performance and NVIDIA Correlation. NVIDIA |
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 NVIDIA. If investors know NVIDIA 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 NVIDIA 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 1.68 | Earnings Share 2.53 | Revenue Per Share 3.91 | Quarterly Revenue Growth 1.224 | Return On Assets 0.5526 |
The market value of NVIDIA is measured differently than its book value, which is the value of NVIDIA that is recorded on the company's balance sheet. Investors also form their own opinion of NVIDIA's value that differs from its market value or its book value, called intrinsic value, which is NVIDIA'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 NVIDIA's market value can be influenced by many factors that don't directly affect NVIDIA'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 NVIDIA's value and its price as these two are different measures arrived at by different means. Investors typically determine if NVIDIA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, NVIDIA'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 Change To Inventory Analysis
Compare NVIDIA and related stocks such as Intel, Taiwan Semiconductor, and Marvell Technology Change To Inventory Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| INTC | 18.9 M | (243 M) | (626 M) | 563 M | (98 M) | (764 M) | 119 M | (1.3 B) | (214 M) | (1.5 B) | (687 M) | (2.3 B) | (2.4 B) | 2.1 B | 2.2 B |
| TSM | (2 B) | 2.6 B | (13 B) | 122.5 M | (28.9 B) | (655.2 M) | 18.4 B | (25.2 B) | (29.4 B) | 20.2 B | (54.4 B) | (55.7 B) | (28 B) | (29.8 B) | (28.4 B) |
| MRVL | 7.3 M | (101.1 M) | 103.1 M | (97.2 M) | 39.5 M | 90.6 M | 29.3 M | (12.2 M) | 4.3 M | 12.8 M | 29.9 M | (291.9 M) | (385.9 M) | 201.9 M | 212 M |
| MU | (19.2 M) | 258 M | 83 M | 194 M | 116 M | (549 M) | 50 M | (472 M) | (1.5 B) | (489 M) | 866 M | (2.2 B) | (3.6 B) | (488 M) | (512.4 M) |
| AMD | (25 M) | 157 M | (83 M) | (322 M) | 199 M | (11 M) | (73 M) | 12 M | (151 M) | (137 M) | (137 M) | (417 M) | (1.4 B) | (580 M) | (551 M) |
| AVGO | 28 M | (55 M) | (55 M) | 193 M | 62 M | 996 M | (39 M) | 417 M | 250 M | (31 M) | (294 M) | (627 M) | 27 M | 24.3 M | 43.9 M |
NVIDIA and related stocks such as Intel, Taiwan Semiconductor, and Marvell Technology Change To Inventory description
The increase or decrease in the amount of inventory a company has over a certain period.My Equities
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Check out NVIDIA Performance and NVIDIA Correlation. For information on how to trade NVIDIA Stock refer to our How to Trade NVIDIA Stock guide.You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
NVIDIA 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.