Bank of America has raised its price target for Nvidia to $180 from $160, reiterating it as their top pick, following a strong Q1 2025 earnings report and expectations for robust sales of Blackwell chips to hyperscalers like Amazon, Google, and Microsoft. BofA anticipates significant long-term earnings growth, increasing EPS estimates for fiscal years 2026-2028 by 6-12%, and believes Nvidia could reach $10 EPS despite challenges including geopolitical risks and data center power constraints; Nvidia has already factored in $15 billion in H20 chip sales to Chinese customers.
Bank of America (BofA) has increased its price target for Nvidia (NVDA) to $180 from $160, reaffirming the semiconductor company as its top pick, a decision underscored by Nvidia's robust Q1 2025 financial results. The company reported adjusted EPS of $0.96, exceeding the anticipated $0.93, on revenue of $44.06 billion, which surpassed forecasts of $43.31 billion, leading to NVDA shares climbing over 2% to $137.94. Key to this bullish outlook is the full production status of Nvidia's next-generation Blackwell chips, with the company escalating efforts to secure over $100 billion in sales from hyperscale clients including Amazon, Google, and Microsoft. In response, BofA has revised its EPS estimates for Nvidia upwards by 6% to 12% for fiscal years 2026 through 2028, now projecting $4.21, $5.87, and $7.23 respectively, with analyst Vivek Arya suggesting a potential pathway to $10 EPS. Despite geopolitical risks, such as tensions with China, Nvidia has reportedly incorporated $15 billion in H20 chip sales to Chinese customers into its planning. Gross margins are anticipated to rebound to the mid-70% range by year-end, buoyed by expanding sales and strong demand for networking solutions like NVLink and Spectrum-X, which have garnered significant deals from Google and Meta, thereby intensifying competition for Broadcom. Nvidia's notable 50% free cash flow margin further distinguishes its financial profile, although BofA acknowledges persistent challenges including accelerated product development cycles, execution risks, data center power constraints, and ongoing geopolitical uncertainties. The global expansion of AI-related capital expenditures, with significant investments from regions like Saudi Arabia, provides additional support for demand.
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