Wall Street Analysts Bullish on Nvidia's Upcoming Earnings Amid AI Infrastructure Boom

Reviewed byNidhi Govil

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Wall Street experts expect Nvidia to exceed earnings expectations when it reports on November 19, driven by continued hyperscaler spending on AI infrastructure. The company anticipates global data center capex to reach $3-4 trillion by 2030.

Analyst Expectations for Nvidia's Q3 Earnings

Nvidia is preparing to release its fiscal third-quarter 2026 earnings results on November 19, with Wall Street analysts expressing strong optimism about the artificial intelligence chipmaker's performance. Multiple investment firms, including Jefferies and Wedbush, have indicated they expect Nvidia to "beat and raise" - surpassing analyst projections while simultaneously increasing future guidance

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Source: Analytics Insight

Source: Analytics Insight

Wedbush analysts maintained their $210 price target, citing strong hyperscale capital expenditure spending results for Q3 that "generally exceeded expectations." The firm noted that large hyperscalers have "nearly ubiquitously talked to an expectation of increasing spending trends into future periods as they continue to expand investment to support their AI efforts"

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Strong Market Performance Despite Concerns

Nvidia shares closed nearly 2% higher on Friday at around $190, contributing to the stock's impressive 42% gain since the beginning of the year, significantly outperforming the benchmark S&P 500 index

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. This performance comes despite growing market concerns about the sustainability of AI spending growth.

Bank of America analysts, while maintaining their $275 price target, acknowledged that Nvidia faces "high earnings expectations and growing skepticism around AI spending." The firm expects company executives to reassure investors about their ability to meet demand during the earnings call

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Hyperscaler Spending Drives Revenue Growth

The optimistic outlook is largely driven by continued robust spending from major cloud providers, often referred to as hyperscalers, including Microsoft, Alphabet, and Amazon. Wedbush analysts noted that much of this growth in spending "seems to end to be funneled to Nvidia," as the chipmaker "supplies a disproportionate amount of the AI server value"

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Nvidia's dominant position in the AI infrastructure market stems from its comprehensive GPU and software stack ecosystem, which creates significant switching costs for cloud providers. This strategic advantage gives the company substantial visibility into future demand patterns and helps maintain its market-leading position

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Financial Projections and Long-term Outlook

Analysts expect Nvidia to report adjusted earnings per share of $1.26 on revenue of $55.28 billion, representing increases of more than 55% compared to the same period last year. Data center revenue, which represents the chips Nvidia sells to companies for training and running AI models, is projected to grow 61% and constitute $49.53 billion of the company's total revenue

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Looking ahead, Nvidia management has expressed significant confidence in the long-term growth trajectory of AI infrastructure. The company recently stated its expectation that global data center capital expenditure will reach $3 trillion to $4 trillion by 2030, underscoring the massive scale of investment anticipated in AI infrastructure development

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Oppenheimer analysts recently lifted their price target for Nvidia, describing the chipmaker as the single company that is "best positioned to win" in the AI sector, reflecting the widespread confidence in the company's market position and growth prospects

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