Nvidia Earnings Preview: Investor Focus Ahead
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 20 minutes ago
0mins
Should l Buy NVDA?
Source: Fool
- Earnings Release Date: Nvidia is set to release its Q1 fiscal 2027 earnings report on May 20 after market close, drawing significant investor attention due to its pivotal role in the rapidly growing AI market.
- Market Performance: Over the past 12 months, Nvidia's stock has surged more than 60% and is hovering near its all-time high, reflecting strong market demand and investor confidence in its growth trajectory.
- Performance Expectations: Analysts anticipate Nvidia's revenue and EPS to grow by 73% and 67%, respectively, indicating robust growth potential in the AI sector, while the stock is still considered relatively cheap at 27 times this year's earnings.
- Investment Strategy: Despite the stock declining in three of the four quarters following earnings releases over the past year, long-term holders of Nvidia may benefit from ongoing AI capital expenditures, suggesting that short-term fluctuations should not deter long-term investment decisions.
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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: 222.320
Low
200.00
Averages
264.97
High
352.00
Current: 222.320
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
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.
- Strong Earnings Expectations: Analysts anticipate Nvidia's Q1 revenue to rise 80% year-over-year to $79.23 billion, with adjusted earnings per share expected to increase by 120% to $1.78, reflecting the company's robust performance in the AI sector.
- New Product Launch: Nvidia has delivered its latest-generation Vera CPU, specifically designed for AI data centers and replacing the Grace CPU, aiming to optimize data handling for large AI workloads through high-bandwidth NVLink connections with Nvidia GPUs.
- Optimistic Market Sentiment: A Stocktwits poll shows that approximately 85% of 4,500 users expect Nvidia to exceed both revenue and profit estimates, although investor views on stock performance post-earnings are mixed, particularly since shares have declined after the last three quarterly reports despite strong results.
- Stock Price Volatility Trend: Nvidia shares have dipped slightly in the last two trading sessions, yet are up nearly 20% year-to-date, with the market eagerly awaiting the upcoming earnings report, which could significantly influence tech stocks and the broader AI trading landscape.
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- Strong ETF Performance: As of 2026, among over 5,200 exchange-traded products, only 120 have risen by more than 50% year-to-date, with 10 being standard semiconductor ETFs, indicating robust sector performance.
- Leading SPDR ETF: The State Street SPDR S&P Semiconductor ETF has outperformed larger peers with a 30% year-to-date gain, despite having only a 2% weight in Nvidia, showcasing the effectiveness of its diversified investment strategy.
- Balanced Allocation Advantage: This ETF tracks the S&P Semiconductor Select Industry Index with an equal-weight approach, emphasizing smaller stocks, and has an average market cap of $270.7 billion, significantly lower than the $1.4 trillion average of the largest semiconductor ETF.
- Reasonable Fees: The SPDR S&P Semiconductor ETF charges an annual fee of 0.35%, or $35 on a $10,000 investment, providing a relatively low-cost option that appeals to investors seeking diversified exposure.
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- Price Target Increase: Melius Research raised Micron Technology's price target from $700 to $1,100 while maintaining a 'Buy' rating, indicating an upside potential of over 57%, reflecting market optimism regarding AI server demand.
- Analyst Optimism: Mizuho increased Micron's price target from $740 to $800, maintaining an 'Outperform' rating, and expects tight supply in NAND and DRAM to persist into the first half of 2027, further boosting Micron's market performance.
- Nvidia Earnings Impact: Nvidia is set to report its Q1 results on Wednesday, with analysts predicting an 80% increase in quarterly revenue to $79.12 billion, which is expected to significantly impact memory chip stocks, particularly as Micron is a key partner for Nvidia.
- Samsung Workers Strike: Over 47,000 Samsung Electronics workers in South Korea are set to strike starting Thursday, posing potential disruptions to the AI hardware supply chain, although some investors remain optimistic that Micron's performance will not be significantly affected.
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- Earnings Release Date: Nvidia is set to release its Q1 fiscal 2027 earnings report on May 20 after market close, drawing significant investor attention due to its pivotal role in the rapidly growing AI market.
- Market Performance: Over the past 12 months, Nvidia's stock has surged more than 60% and is hovering near its all-time high, reflecting strong market demand and investor confidence in its growth trajectory.
- Performance Expectations: Analysts anticipate Nvidia's revenue and EPS to grow by 73% and 67%, respectively, indicating robust growth potential in the AI sector, while the stock is still considered relatively cheap at 27 times this year's earnings.
- Investment Strategy: Despite the stock declining in three of the four quarters following earnings releases over the past year, long-term holders of Nvidia may benefit from ongoing AI capital expenditures, suggesting that short-term fluctuations should not deter long-term investment decisions.
See More
- Upcoming Earnings Report: Nvidia is set to release its Q1 fiscal 2027 earnings report on May 20 after market close, drawing significant investor attention due to its pivotal role in the rapidly growing AI market, which could impact stock price movements.
- Strong Stock Performance: Over the past year, Nvidia's stock has surged more than 60% and is hovering near its all-time high, reflecting market confidence in its future growth potential, although it has seen declines in three out of four quarters following earnings releases.
- Revenue and Earnings Expectations: Analysts project Nvidia's revenue and EPS to grow by 73% and 67%, respectively, in fiscal 2027, with a current P/E ratio of 27, indicating that its stock remains undervalued and appealing for long-term investors.
- Investment Advice and Risks: Despite Nvidia's strong position in the AI sector, the Motley Fool analyst team has not included it in their current list of top investment stocks, advising investors to exercise caution and consider other potentially high-return stocks before making decisions.
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- New Research Center: Nvidia has established its first research hub in Singapore, marking its second presence in the Asia Pacific, aimed at advancing embodied AI and enhancing AI infrastructure efficiency.
- Strengthened Partnerships: The new center will collaborate closely with university researchers, industry partners, and government agencies to promote the application of embodied AI, particularly in robotics, autonomous vehicles, and drones, which are expected to drive breakthroughs in the service and manufacturing sectors.
- Testbed Launch: The Singapore government plans to launch a testbed later this year to assist private companies in co-designing, deploying, and validating commercially viable AI robotic technologies, with industry leaders like Certis, DHL, Grab, and QuikBot expected to be among the first users.
- Intelligent Robotics Center: The newly established Center for Intelligent Robotics will collaborate with AI robotics companies such as Slamtec, Unitree, and QuikBot to trial embodied AI use cases, including food and parcel delivery, cleaning, and security patrolling, complementing existing human operations.
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