Analysts Believe Nvidia and Robinhood Stocks Are Undervalued
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 3 days ago
0mins
Should l Buy NVDA?
Source: NASDAQ.COM
- Nvidia's Impressive Earnings: Nvidia reported a 73% year-over-year revenue increase to $68 billion in Q4, driven by strong data center sales growth, with compute and networking segments rising 58% and 263%, respectively, showcasing the company's robust performance in the AI market and pricing power.
- Market Reaction: Despite a significant 82% increase in non-GAAP earnings per share to $1.62, Nvidia's stock dropped over 5%, primarily due to concerns about revenue concentration and the potential rise in memory prices, reflecting market caution regarding the company's future profitability.
- Robinhood's Market Share Growth: Robinhood is gaining market share across various brokerage service categories, particularly in cryptocurrency and prediction markets, and is expected to benefit from the wealth transfer to younger investors, with annualized Robinhood Gold subscription revenue increasing 56% to $200 million in Q4.
- AI Feature Innovation: Robinhood's AI feature, Cortex, offers personalized investment insights and is expected to enhance user engagement and platform appeal, with the CEO stating that the product
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 177.190
Low
200.00
Averages
264.97
High
352.00
Current: 177.190
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) 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 includes 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 software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- Revenue and Profit Surge: In the fourth quarter, Nvidia reported a revenue of $68 billion and a profit of $42 billion, reflecting double-digit growth driven by strong demand from AI data center customers, which solidifies its leadership in the AI chip market.
- Investor Concerns: Despite robust performance, investors are worried about high levels of AI spending and question whether future earnings will justify current valuations, leading to Nvidia's stock price remaining flat and trading near its lowest levels over the past year.
- Market Positioning: Nvidia's stock is currently considered 'dirt cheap', and the company is well-positioned for long-term growth in the AI sector, although short-term market volatility may persist, prompting investors to carefully assess their entry points.
- Industry Impact: Nvidia's success not only drives its own growth but also fuels investment and technological advancement across the AI industry, and despite facing market uncertainties, it is still viewed as a 'no-brainer buy' in AI investments.
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- Earnings Performance: Nvidia was expected to continue its decline following disappointing earnings results.
- New Product Potential: The introduction of a new artificial-intelligence processor may generate renewed interest and excitement for the company.
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- Acquisition of NVIDIA GPUs: Akamai has purchased thousands of NVIDIA Blackwell GPUs to enhance its global distributed cloud infrastructure, aiming to improve capabilities in AI R&D, fine-tuning, and post-training optimization, thereby increasing overall computational efficiency.
- Unified Platform Development: This deployment creates a unified platform that intelligently routes AI inference workloads to optimized compute resources, significantly reducing latency and data egress issues, which enhances user experience.
- AI Inference Cloud Strategy: Akamai's recent launch of the AI Inference Cloud redefines how AI is utilized by bringing it closer to users and devices, with projections indicating a 45%-50% revenue growth in CIS for 2026.
- Optimistic Market Outlook: With the momentum of the AI Inference Cloud accelerating, Akamai is positioned favorably in future market competition, further solidifying its leadership in the AI and cloud computing sectors.
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- Significant Revenue Growth: According to Bloomberg, Cursor's annualized revenue surpassed $2 billion in February, doubling from three months prior, indicating strong growth potential in the AI coding assistant market.
- Corporate Client Contribution: Approximately 60% of revenue comes from corporate clients, including both first-time users and existing customers increasing their seat counts, reflecting Cursor's growing penetration in the enterprise market.
- Funding Background: In November, Cursor raised about $2.3 billion in a Series D funding round, achieving a post-money valuation of $29.3 billion, attracting existing investors like Accel and new partners such as Nvidia and Google, showcasing market confidence in its future development.
- Market Competition Landscape: Cursor is competing against rivals like OpenAI, Anthropic, and Google for dominance in the AI coding assistant market, highlighting the intensifying competition and significant market potential in this sector.
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- Historical Economic Perspective: Siegel noted that while AI may lead to job losses in some sectors, history shows that productivity gains ultimately expand output and income, thereby stimulating demand, which reflects the core insights of growth theory.
- Productivity and Income Relationship: He emphasized that if AI were to double productivity, today's GDP could be produced in less time, allowing workers to work less while earning significantly more, indicating that AI acts as an accelerator of productivity rather than a disaster.
- Labor Market Scale: Despite Block Inc.'s announcement of 4,000 job cuts, Siegel believes this is negligible within a 160 million-strong labor force, and if real GDP continues to grow at 3%, it implies rising productivity.
- Market Dynamics Analysis: Against the backdrop of declining tech stocks, Siegel pointed out that the market is rotating rather than collapsing, with expectations that mega-cap AI stocks could deliver returns between 0% to 10%, while the broader market may gain between 10% to 15%.
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- Revenue and Profit Surge: In the fourth quarter, Nvidia reported revenues and profits of $68 billion and $42 billion, respectively, reflecting double-digit growth primarily driven by strong demand from AI data center customers, thereby solidifying its leadership in the AI sector.
- Market Valuation Decline: Despite Nvidia's stock showing some weakness due to investor concerns over AI spending levels, its current valuation is close to the lowest in the past year, indicating a lack of confidence in its future growth potential.
- Investor Sentiment Fluctuation: Recent hesitance among investors regarding AI stocks has impacted Nvidia's stock performance, as doubts about the sustainability of future earnings persist despite the company's strong position in AI chip technology.
- Long-Term Growth Potential: Although market volatility may continue in the short term, Nvidia's robust foundation in the AI sector and its reasonably priced stock make it a compelling investment opportunity, with expectations for solid long-term growth.
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