Nvidia's $5 Trillion Valuation Still a Bargain, Analysis Says

An influential Barron's analysis argues Nvidia Corp. (NVDA) remains undervalued despite its $5.4 trillion market capitalization, projecting the stock could gain 50 percent as artificial intelligence spending surges. The report highlights that the chipmaker trades at a 25 percent discount to its historical valuation just as its key customers, the so-called hyperscalers, are set to spend nearly $700 billion on AI infrastructure in 2026 alone.

"We’re still in the early days of the AI infrastructure growth,” Jon Kemp, CEO of semiconductor materials supplier Qnity Electronics, told Barron's, adding that the growth is moving from the data center to edge computing. “The proliferation of [AI] beyond data centers into every other part of the industrial economy is one of the things that gives us confidence in the durability of the growth cycle.”

The core of the bullish thesis rests on valuation and exploding demand. Nvidia’s stock trades for about 24 times forward earnings, below its historical average and a discount to the PHLX Semiconductor Index's average of 26 times. This comes as the four largest cloud providers—Amazon.com (AMZN), Alphabet (GOOGL), Meta Platforms (META), and Microsoft (MSFT)—are now expected to boost their AI-related capital spending to almost $700 billion this year, up from a $500 billion estimate at the start of 2026.

The analysis posits that even a $5 trillion company can be cheap when it's on track to earn more than $190 billion in calendar 2026, a potential record for any corporation. With Nvidia’s earnings report scheduled for May 20, the key question is whether this growth is sustainable. The answer, according to the report and supporting market data, is that the AI buildout is only just beginning, making 2026 feel more like 1996 than the 1999 peak of the dot-com bubble.

The $700 Billion Spending Spree

The sheer scale of capital flooding into AI infrastructure provides the primary demand driver for Nvidia's GPUs. Melius analyst Ben Reitzes expects capital expenditures from hyperscalers and others like Oracle (ORCL) to exceed $1 trillion in 2027. These tech giants can easily fund the spending spree from their collective $800 billion in expected Ebitda, without jeopardizing their pristine balance sheets.

This intense investment cycle is creating ripple effects across the supply chain, confirming robust and durable demand. AI infrastructure provider Vertiv Holdings (VRT) reported a 252 percent increase in orders in the last quarter of 2025, while both Arm Holdings (ARM) and Intel (INTC) have recently stated they were unable to meet all demand due to supply constraints. The demand is so fierce it has prompted figures like Elon Musk to consider building their own semiconductor fabs to secure chip supply for Tesla and SpaceX.

Valuation Disconnect

While the PHLX Semiconductor Index (^SOX) has surged, Nvidia has lagged the index by over 70 percentage points since the start of 2025 as investors rotated into other parts of the chip sector, including memory makers like Micron Technology (MU) and CPU-focused companies like Intel and Advanced Micro Devices (AMD). The market, in effect, has focused on the ancillary beneficiaries of the AI boom while momentarily forgetting the company at its center.

The argument is that if overall demand for semiconductors is exploding, Nvidia's foundational role in AI computing makes it the primary beneficiary. Its GPUs are uniquely suited for the parallel processing required by AI models, and while competitors and customers are developing their own application-specific chips (ASICs), these are seen as complementary to, not replacements for, Nvidia's hardware. The entire AI computing pyramid is growing, and Nvidia remains its base.

For investors, this presents an opportunity. The average analyst price target for Nvidia stock is $270, representing a 20 percent upside. However, the Barron's piece suggests that if Nvidia merely traded in line with the semiconductor sector's average multiple, its stock would be at $290. Applying its historical premium valuation justifies a price as high as $390. While risks like bubble fears and a high bar for its upcoming earnings persist, the overwhelming evidence points to a market that is still underestimating the scale and longevity of the AI revolution.

This article is for informational purposes only and does not constitute investment advice.