Nvidia stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

The price of NVIDIA shares traded on the Nasdaq stock exchange remained rather stable between July 2010 and January 2017. With the beginning of 2017, the price of NVIDIA shares started to increase, standing at ***** U.S. dollars per share in November 2021. Since then, the price of NVIDIA shares rose significantly and reached its highest value at ****** U.S. dollars as of the end of November 2024.

Nvidia reported $102.22B in Current Assets for its fiscal quarter ending in June of 2025. Data for Nvidia | NVDA - Current Assets including historical, tables and charts were last updated by Trading Economics this last October in 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

NVIDIA: Still a Wise Investment? (NVDA)

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Stock Price Time Series for NVIDIA Corporation. NVIDIA Corporation, a computing infrastructure company, provides graphics and compute and networking solutions in the United States, Singapore, Taiwan, China, Hong Kong, and internationally. The Compute & Networking segment includes its Data Centre accelerated computing platforms and artificial intelligence solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms; and DGX Cloud computing services. The Graphics segment offers GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU or vGPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems; and Omniverse software for building and operating industrial AI and digital twin applications. It also customized agentic solutions designed in collaboration with NVIDIA to accelerate enterprise AI adoption. The company's products are used in gaming, professional visualization, data center, and automotive markets. It sells its products to original equipment manufacturers, original device manufacturers, system integrators and distributors, independent software vendors, cloud service providers, consumer internet companies, add-in board manufacturers, distributors, automotive manufacturers and tier-1 automotive suppliers, and other ecosystem participants. NVIDIA Corporation was incorporated in 1993 and is headquartered in Santa Clara, California.

Nvidia reported $14.96B in Stock for its fiscal quarter ending in June of 2025. Data for Nvidia | NVDA - Stock including historical, tables and charts were last updated by Trading Economics this last October in 2025.

Historical and ongoing snapshots of NVIDIA Corporation (ticker: NVDA) market capitalization as displayed on Capital.com. The page shows a headline market cap with explicit as-of dating and provides a monthly history table; market cap is explained using the standard calculation (outstanding shares × current share price).

Nvidia reported $24.26B in Current Liabilities for its fiscal quarter ending in June of 2025. Data for Nvidia | NVDA - Current Liabilities including historical, tables and charts were last updated by Trading Economics this last October in 2025.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Nvidia Stock Hits All-Time High: What's Driving the Bull Run?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This dataset contains the predicted prices of the asset NVIDIA over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

This dataset offers an in-depth analysis of various GPUs, focusing on performance metrics across different APIs and detailed specifications. The goal is to facilitate comparisons between GPU performan...

This dataset contains the predicted prices of NVIDIA for the upcoming years based on user-defined projections.

Company Description

NVIDIA Corp. engages in the design and manufacture of computer graphics processors, chipsets, and related multimedia software. It operates through the following segments: Graphics Processing Unit (GPU), Tegra Processor, and All Other. The GPU segment comprises of product brands, which aims specialized markets including GeForce for gamers; Quadro for designers; Tesla and DGX for AI data scientists and big data researchers; and GRID for cloud-based visual computing users. The Tegra Processor segment integrates an entire computer onto a single chip, and incorporates GPUs and multi-core CPUs to drive supercomputing for autonomous robots, drones, and cars, as well as for consoles and mobile gaming and entertainment devices. The All Other segment refers to the stock-based compensation expense, corporate infrastructure and support costs, acquisition-related costs, legal settlement costs, and other non-recurring charges. The company was founded by Jen Hsun Huang, Chris A. Malachowsky, and Curtis R. Priem in January 1993 and is headquartered in Santa Clara, CA.

Contact Information

NVIDIA Corp. 2788 San Tomas Expressway Santa Clara California 95051 P:(408) 486-2000 www.nvidia.com

Shareholders

Mutual fund holders 39.32% Other institutional 30.89% Individual stakeholders 3.75%

Nvidia reported $4.44T in Market Capitalization this October of 2025, considering the latest stock price and the number of outstanding shares.Data for Nvidia | NVDA - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last October in 2025.

This dataset contains the predicted prices of Backed NVIDIA for the upcoming years based on user-defined projections.

This dataset contains the latest prices and historical lowest prices for various GPU models from Nvidia, AMD, and Intel as of 2024. Sourced from Tom's Hardware, this data is useful for analyzing price trends and studying the cost dynamics of computer hardware.

Prices for Nvidia - 股票价格 including live quotes, historical charts and news. Nvidia - 股票价格 was last updated by Trading Economics this October 23 of 2025.

This dataset contains the predicted prices of the asset Backed NVIDIA over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

3823 Global import shipment records of Nvidia with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

439 Global export shipment records of Nvidia with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.