Wall Street sees plenty more upside ahead for Nvidia stock

Cantor Fitzgerald has raised its Nvidia price target to $300, projecting EPS of $8 by 2026 and $11 by 2027, asserting the company is only in the "midgame" of AI infrastructure build-out and will maintain significant market share. Morgan Stanley concurs, estimating the total AI infrastructure market could reach $3-5 trillion by 2030, driven by an impending second wave of adoption across various industries beyond cloud providers. Both firms dismiss concerns over Nvidia's vendor financing, viewing it as an accelerant for data center capacity, and highlight the company's full-stack ecosystem as a key competitive differentiator ensuring continued dominance and substantial long-term growth.

Analysis

Cantor Fitzgerald has raised Nvidia's (NVDA) price target to $300, projecting EPS of $8 by 2026 and $11 by 2027, reflecting a belief that the company is only "midgame" in the AI infrastructure build-out. This bullish outlook is predicated on Nvidia's sustained dominance in data centers and hyperscale partnerships, effectively positioning its hardware as an essential utility.

Morgan Stanley reinforces this long-term perspective, estimating the total AI infrastructure market could reach $3-5 trillion by 2030, driven by an impending second wave of adoption across diverse industries beyond cloud providers. They view Nvidia's growth runway as significantly longer, extending well into the next decade.

Both firms dismiss concerns over Nvidia's vendor financing, interpreting it as an accelerant for data center capacity rather than demand padding. Nvidia's "full-stack" ecosystem, integrating chips, software, and networking, is highlighted as a key competitive advantage, making it difficult for rivals to duplicate its market position.

Key Decisions for Investors

• Investors should consider Nvidia's significantly raised price targets and long-term growth projections, driven by expanding AI infrastructure demand across new industry verticals.
• Monitor the pace of AI adoption beyond cloud providers and the effectiveness of Nvidia's vendor financing in accelerating data center capacity, as these are key drivers for sustained growth.
• Evaluate Nvidia's competitive moat, particularly its full-stack ecosystem, against emerging rivals to assess the durability of its market dominance in the evolving AI landscape.