Analyst: Alphabet Could Hit $5T Market Cap by 2027 vs Nvidia

Analyst says Alphabet could reach $5 trillion as Gemini-driven AI momentum and TPU cost advantages boost earnings 10–15%

  • Alphabet briefly topped a $4.0 trillion market value in early 2026, hitting an all-time high of $337 per share before pulling back to $329.
  • Analyst Daniel Foelber says a $5.0 trillion market cap is possible if earnings grow about 10%–15% annually and the stock tracks that growth.
  • Google Gemini and the launch of Gemini 3 are cited as primary drivers, with Gemini credited for adding roughly $1.5 trillion in market value in under five months.
  • Foelber highlights Alphabet’s in-house Tensor Processing Units (TPUs) as a cost advantage over GPUs for AI workloads.
  • Broker price targets for 2026 range from $185 to $400 per share; reaching the high end would push market value past $4.5 trillion, while $5.0 trillion could correspond to about $500 per share.

In January 2026, Alphabet briefly surpassed a $4.0 trillion market capitalization, driving its stock to an all-time high of $337 per share before it corrected to $329. As of that month, the company’s market cap stood at about $4.0 trillion. Strong investments in Artificial Intelligence and product developments underpinned the move.

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Analyst Daniel Foelber recently argued that a $5.0 trillion valuation by the end of the year is achievable. “Since its valuation is reasonable, it would make sense for Alphabet’s stock price to increase by its earnings growth rate. If Alphabet grows earnings by 10% to 15% annually over the next two years — and the stock price mirrors that growth rate — that could push its market cap above $5 trillion.”

Foelber attributes much of Alphabet’s recent gains to Google Gemini. “Gemini is the core reason why Alphabet has added $1.5 trillion to its market cap in less than five months and why it could advance further,” he wrote, noting the launch of Gemini 3 last fall as a potentially meaningful catalyst for revenue if AI demand continues.

The analyst also pointed to Alphabet’s custom hardware as a competitive edge. “Because TPUs are application-specific integrated circuits, they are designed to handle precisely the types of AI workloads they will see,” he said, adding that Tensor Processing Units can offer cost advantages compared with GPUs in data center AI tasks.

Market context includes rivals that benefited from the 2025 AI surge, such as NVIDIA, which briefly entered the $5.0 trillion range before retreating. Current 2026 price targets cited in the analysis span $185 to $400 per share; reaching the upper bound would push Alphabet well beyond $4.5 trillion, and a $5.0 trillion valuation could align with roughly $500 per share.

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