Nvidia Stock Seen as Bargain by Analysts
Analysts favor Nvidia stock, citing AI demand, China H200 approvals and rising hyperscaler capex that support upside positioning and boost buy-side flows.
KEY TAKEAWAYS
- Sixty of 64 analysts rate Nvidia stock a buy.
- Median one-year price target $253.2 implies about 34.0% upside.
- FY2026 revenue guidance $170.0B underpins bullish valuation models.
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Nvidia's FY2026 revenue guidance of $170 billion and a fresh round of bullish analyst reports in late January 2026 renewed upside expectations for Nvidia stock. Strategists cited strong AI demand, China’s approval of H200 chip imports, and rising hyperscaler capital expenditures as key drivers.
Analysts Project Significant Upside
Sixty of 64 analysts covering Nvidia rate the stock a buy. The median one-year price target stands at $253.19, implying about 34.0% upside from current levels. Analyst price targets range widely from $140 to $352, reflecting differing assumptions about Nvidia’s growth and risks.
One projection dated January 28, 2026, set a year-end target at $300.14, well above the consensus median. A major sell-side firm outlined a baseline target of $250, with a bull case near $330 and a bear case around $150, illustrating how scenario assumptions drive divergent valuations.
Company Outlook and Demand Drivers
Nvidia reported $57.0 billion in revenue for the most recent quarter, with data-center sales of $51.2 billion, up 66.0% year over year. Data-center demand remains the dominant growth driver.
The FY2026 revenue guidance implies roughly a 30.0% increase from FY2025’s $130.5 billion, a trajectory analysts link to sustained AI spending and capacity expansion. Hyperscaler capital expenditures for 2026 are projected between $115 billion and $135 billion, up from about $72.2 billion in FY2025. Analysts say this jump will support compute-heavy deployments and GPU demand.
Nvidia’s capital spending rose to $3.2 billion in FY2025, more than doubling year over year, to support Blackwell chip production and broader AI infrastructure scaling. The company held $37.6 billion in cash and equivalents, providing liquidity for production, partnerships, and strategic investments.
The company committed $2.0 billion to CoreWeave to accelerate so-called AI “factories,” expanding third-party capacity for model training and inference. Taiwan Semiconductor’s $165 billion Arizona expansion is cited as strengthening the advanced-node supply chain that supports Nvidia’s chip roadmap.
Analysts reference research projecting an AI market compound annual growth rate near 37.0% through 2030, providing a structural backdrop for bullish revenue and valuation models. They caution, however, that tariffs and intensifying competition could limit upside. Some models highlight what they consider rich forward multiples—around 39 times forward earnings—heightening sensitivity to execution and demand shifts.
