NVIDIA Corporation (NVDA)
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Learn more- Previous Close
235.74 - Open
229.75 - Bid 225.30 x 100
- Ask 225.53 x 100
- Day's Range
224.25 - 231.50 - 52 Week Range
129.16 - 236.54 - Volume
177,323,868 - Avg. Volume
170,635,714 - Market Cap (intraday)
5.457T - Beta (5Y Monthly) 2.24
- PE Ratio (TTM)
46.08 - EPS (TTM)
4.89 - Earnings Date May 20, 2026
- Forward Dividend & Yield 0.04 (0.02%)
- Ex-Dividend Date Mar 11, 2026
- 1y Target Est
272.94
Recent News: NVDA
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Performance Overview: NVDA
Trailing total returns as of 5/15/2026, which may include dividends or other distributions. Benchmark is S&P 500 (^GSPC) .
YTD Return
1-Year Return
3-Year Return
5-Year Return
Earnings Trends: NVDA
View MoreAnalyst Insights: NVDA
View MoreStatistics: NVDA
View MoreValuation Measures
Market Cap
5.23T
Enterprise Value
5.18T
Trailing P/E
43.92
Forward P/E
26.53
PEG Ratio (5yr expected)
0.68
Price/Sales (ttm)
24.43
Price/Book (mrq)
33.25
Enterprise Value/Revenue
23.98
Enterprise Value/EBITDA
35.82
Financial Highlights
Profitability and Income Statement
Profit Margin
55.60%
Return on Assets (ttm)
51.19%
Return on Equity (ttm)
101.49%
Revenue (ttm)
215.94B
Net Income Avi to Common (ttm)
120.07B
Diluted EPS (ttm)
4.89
Balance Sheet and Cash Flow
Total Cash (mrq)
62.56B
Total Debt/Equity (mrq)
7.25%
Levered Free Cash Flow (ttm)
58.13B
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Company Insights: NVDA
Fair Value
Dividend Score
Hiring Score
Insider Sentiment Score
Research Reports: NVDA
View MoreNvidia: Raising Fair Value to $260 From $240, as 'Agentic AI' Drives a $1 Trillion Forecast at GTC
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.
RatingPrice TargetNvidia: Raising Fair Value to $260 From $240, as 'Agentic AI' Drives a $1 Trillion Forecast at GTC
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.
RatingPrice TargetNvidia: Raising Fair Value to $260 From $240, as 'Agentic AI' Drives a $1 Trillion Forecast at GTC
Nvidia is a leading developer of graphics processing units. Traditionally, GPUs were used to enhance the experience on computing platforms, most notably in gaming applications on PCs. GPU use cases have since emerged as important semiconductors used in artificial intelligence to run large language models. Nvidia not only offers AI GPUs, but also a software platform, Cuda, used for AI model development and training. Nvidia is also expanding its data center networking solutions, helping to tie GPUs together to handle complex workloads.
RatingPrice TargetThe Argus Innovation Model Portfolio
The United States economy is full of innovation. It has to be. Manufacturing industries that dominated the economy decades ago - textiles, televisions, even automobiles to a large degree - have moved overseas, where labor and materials costs are lower. Yet the U.S. economy, even during the pandemic and the recent period of high inflation, has expanded to record levels. If U.S. corporations weren't innovating, creating new products (such as AI and vaccines) and services (such as Zoom calls and Netflix), as well as moving into new markets (clean energy, rare drugs), the domestic economy would not be growing, and capital would not be flooding into the country. Consider that U.S. GDP was approximately $1 trillion in 1930 but was almost $31.5 trillion at the end of 2025. That's growth of 30-times. Meanwhile, the U.S. population has grown less than 3-times during that time span, to 340 million from 120 million. The delta between GDP growth and population growth has been driven, in large part, by innovation.











