NewsStocksNvidia Trades at Five-Year Valuation Low Ahead of Wednesday Earnings Amid Rising AI Demand

Nvidia Trades at Five-Year Valuation Low Ahead of Wednesday Earnings Amid Rising AI Demand

Author: Hokanews·

Key Takeaways

  • Nvidia heads into its Wednesday earnings report with quarterly revenue guidance of $91 billion, a figure that excludes China data center sales.
  • Nvidia holds a $1 trillion order book covering 2026 and 2027, while Bank of America estimates the company's customers carry $2.3 trillion in AI backlog.
  • Nvidia has told its biggest clients to expect price increases of more than 15% on AI servers as memory chip costs surge, according to Bloomberg information cited in the report.
  • Nvidia paid $6 billion to license AI models from startup Poolside and extended job offers to more than 100 of the startup's employees.
  • Nvidia, valued at $5.28 trillion, is trading at its cheapest valuation in five years ahead of the earnings release.
Nvidia Trades at Five-Year Valuation Low Ahead of Wednesday Earnings Amid Rising AI Demand

Nvidia is trading at its cheapest valuation in five years as the $5.28 trillion chipmaker prepares to report earnings on Wednesday, according to information highlighted by @coinbureau in a recent post on X. The company heads into the report with substantial AI-related demand, quarterly revenue guidance of $91 billion and a $1 trillion order book covering 2026 and 2027.

The figures arrive as Nvidia remains at the center of the global expansion in artificial intelligence infrastructure. Its processors are widely used to power AI systems, while demand from major technology companies continues to drive investment in data centers and related computing capacity.

Nvidia Guides for $91 Billion in Quarterly Revenue

Nvidia has guided for $91 billion in revenue for the quarter, excluding China data center sales. The guidance serves as a key benchmark ahead of the earnings announcement as investors assess whether demand for AI infrastructure continues to support the company's growth. The exclusion is worth noting when comparing the figure with Nvidia's results for earlier periods, since it means revenue from that market is not counted in the guided number.

Nvidia's data center business has become a major component of its operations as customers invest in computing systems designed to train and operate increasingly sophisticated AI models. The exclusion of China data center sales reflects the specific market conditions surrounding Nvidia's international business; the company operates within a semiconductor industry that has been affected by technology restrictions and changing requirements in different markets.

Customers Hold $2.3 Trillion in AI Backlog, Bank of America Says

The scale of spending among Nvidia's customers is another defining feature of the current environment. According to Bank of America, Nvidia's customers are sitting on $2.3 trillion in AI backlog, a figure that illustrates the magnitude of planned or committed spending on artificial intelligence infrastructure across the company's customer base.

Nvidia's own order book for 2026 and 2027 is valued at $1 trillion, according to the information cited in the X post. Commitments that stretch across multiple years matter because they extend visibility beyond a single quarter, tying the company's near-term results to spending plans already mapped into 2026 and 2027. Taken together, the figures point to substantial future demand for AI-related computing infrastructure and highlight how closely Nvidia's business is connected to the longer-term investment plans of companies building AI capabilities.

AI Server Prices Face More Than 15% Increase

Alongside strong demand, the AI infrastructure market is contending with higher component costs. Nvidia told its biggest clients this week to expect price increases of more than 15% on AI servers as memory chip costs surge, according to Bloomberg information cited in the post.

Memory components are an important part of AI computing systems, and rising costs can affect the economics of building and deploying data center infrastructure. Higher server prices could therefore influence the cost of expanding AI computing capacity for Nvidia's customers. The development also demonstrates that the rapid growth of AI infrastructure is occurring alongside supply and cost pressures within the broader semiconductor markets ecosystem.

Nvidia Pays $6 Billion for Poolside AI Models

Nvidia has also expanded its involvement in AI models and talent through a deal involving the startup Poolside. The company paid $6 billion to license AI models from Poolside and extended job offers to more than 100 of the startup's employees, according to the information provided in the X post.

The move adds another dimension to Nvidia's position within the AI industry. While the company remains best known for its semiconductor technology, the broader AI ecosystem increasingly encompasses computing hardware, software, models and specialized talent. The Poolside agreement and employment offers come as companies across the industry continue to invest in technologies and expertise related to artificial intelligence.

Earnings Report Puts Nvidia's AI Business Under Focus

Nvidia's Wednesday earnings report will provide an updated view of its financial performance as the company navigates exceptionally strong demand for AI infrastructure alongside rising component costs.

The company enters the report with $91 billion in quarterly revenue guidance, a reported $2.3 trillion AI backlog among customers and a $1 trillion order book for 2026 and 2027. At the same time, the reported increase in AI server prices and higher memory costs underscore the pressures affecting the industry. The headline comparison will be reported revenue against the $91 billion guide, alongside updated figures for the data center business and any new information on costs and the order book position.

With Nvidia valued at $5.28 trillion and trading at its cheapest valuation in five years, its upcoming results will be closely watched for further information about the company's performance and the continuing expansion of the AI infrastructure market.

Writer: Victoria Hale, Hokanews.