Nvidia earnings: Key themes for investors to watch for

Key Concepts

• Nvidia's Role in AI Spend: Nvidia is the largest supplier in the AI market, making its earnings reports a key indicator of broader AI spending trends.
• Supply Chain Momentum: Positive signals are coming from the Taiwanese supply chain and conversations with US product sellers, indicating continued upward momentum.
• Cloud Service Providers (CSPs): CSPs are increasing their AI spending, as evidenced by companies like Super Micro expecting significant sales growth tied to Nvidia AI racks.
• Valuation: Nvidia's stock valuation is considered reasonable, especially compared to peers, and has grown into its valuation over the past few years.
• Revenue Generation: A key concern has been the funding for massive data center buildouts. However, the shift towards inference workloads, which generate revenue and profit, is addressing this concern.
• Product Roadmap: Discussions are expected around Blackwell sales, with Rubin being a second-half 2026 story and B300 (the next iteration of Blackwell) showing strong ramp-up.
• China Market: Nvidia currently has no visibility into sales in China, and this revenue is not factored into their projections. However, China's own AI bottlenecks may dissipate some fears of it impacting other geographies.
• Hyperscalers: Hyperscalers (like Meta, Amazon, Google, Microsoft) continue to be major revenue drivers for Nvidia, accounting for roughly 50% of their revenue.
• Competition: While competition is increasing from companies developing their own chips (e.g., Amazon's Trainium/Inferentium, Google's TPUs) and AMD's rack-scale solutions, Nvidia is estimated to still hold 90% of the market.
• Total Addressable Market (TAM): The TAM for AI data centers is projected to reach $1 trillion by 2030, suggesting significant room for growth for all players.
• Growth Deceleration: While Nvidia's growth remains strong (expected 57% revenue growth), it shows a gradual deceleration due to the law of large numbers, compared to earlier explosive growth.

Nvidia's Upcoming Earnings and Broader AI Market Indicators

Nvidia's upcoming quarterly earnings report is highly anticipated as it serves as a crucial bellwether for the broader AI spending landscape. The company's position as the largest supplier in the market means its performance provides significant insights into current AI investment trends.

Key Indicators to Watch

• Supply Chain Momentum: The team will be looking for continued positive signals from the Taiwanese supply chain, which has been experiencing upward momentum. Similarly, conversations with those selling into Nvidia's products in the US are expected to reinforce this trend.
• Cloud Service Provider (CSP) Spending: Public statements from CSPs confirm increased AI spending. Companies like Super Micro, which anticipate their sales to roughly double quarter-over-quarter due to improved shipments of Nvidia AI racks, exemplify this trend.
• Positive Outlook: Based on these checks, Nvidia is expected to report very positive results for Q3 and Q4.

Nvidia's Stock Valuation and Financial Concerns

Despite its strong performance, Nvidia's stock valuation is a recurring topic of discussion.

Valuation Perspective

• Reasonable Valuation: On a valuation basis, Nvidia is considered "pretty reasonable," especially when compared to many of its peers.
• Growth into Valuation: The stock has grown into and, in some cases, surpassed its valuation over the past couple of years.
• Current Trading Multiple: The stock is trading at approximately 28 times earnings, which is not considered "crazy" in the current market.

Financial Concerns and Counterarguments

• Funding for Data Centers: A primary concern over the past few months has been the immense spend required from companies for data center buildouts to support Nvidia's large revenue numbers, and where the funding for this will originate.
• Shift to Inference Workloads: This concern is being mitigated by the growing trend of inference workloads. Unlike training workloads, which did not directly generate revenue, inference workloads are revenue-generating and profitable. This revenue is expected to fund the debt incurred for data center expansions.

Nvidia's Product Roadmap and Future Offerings

The discussion around Nvidia's product roadmap is crucial for understanding its future growth trajectory.

Blackwell and Beyond

• Blackwell Focus: For the upcoming earnings report (T3 earnings), a significant portion of the discussion is expected to revolve around Blackwell sales.
• Rubin's Timeline: The Rubin architecture is anticipated to be a "second half of '26 story," with larger revenue generation expected in the 2027 timeframe.
• B300 Expectations: More immediate tangible improvements and better expectations are anticipated from the B300, the next iteration of Blackwell, which is reportedly ramping up very well.

The China Market and Geopolitical Considerations

The situation in China remains a point of uncertainty for Nvidia.

Current Status and Outlook

• Lack of Visibility: Nvidia currently has no visibility into sales in China, and this revenue is not being factored into their projections.
• "Bonus" Opportunity: Any future revenue from China would be considered an upside bonus for Nvidia.
• Dissipating Fears: Concerns about a "dual track" where China offers an alternative AI path if the US restricts access are being somewhat alleviated. Recent reports suggest China is facing its own AI bottlenecks.
• Impact on Other Geographies: This suggests that fears of China potentially impacting Nvidia's revenues in other geographies may be dissipating.

Broader AI Trade and Market Dynamics

Nvidia's earnings report is not just about the company itself but also about its impact on the wider AI ecosystem.

Key Threads and Expectations

• Bellwether for AI Trade: Nvidia's performance is seen as the primary indicator for the "AI trade." Any beat or miss in expectations will likely have cascading effects on other AI stocks.
• SoftBank's Stake Unload: This report is the first since SoftBank sold its $5.8 billion stake in Nvidia, which was done to fund its own AI endeavors, including the "Stargate" project with OpenAI.
• AMD's TAM Projection: The report follows AMD's CEO Lisa Su's projection that the total addressable market (TAM) for AI data centers will reach $1 trillion by 2030.
• Michael Bur's Concerns: Concerns have been raised by Michael Bur regarding some companies potentially exaggerating earnings by extending depreciation periods for their data center assets.

Financial Projections and Growth Trends

• EPS and Revenue Estimates: Expectations are for Earnings Per Share (EPS) of $1.25 (up 54% year-over-year) and revenue of $55.1 billion (up 57% year-over-year).
• Decelerating Growth: While these figures are strong, they represent a gradual deceleration compared to previous quarters (e.g., Q1 2026 revenue up 69%, Q4 2025 revenue up 77%). This is attributed to the "law of large numbers" as Nvidia's base revenue has grown significantly.
• "Insane Expectations": The immediate stock price reaction after earnings reports has sometimes seen pullbacks, likely due to these extremely high expectations.

Hyperscalers, Competition, and Market Dominance

The relationship with hyperscalers and the evolving competitive landscape are critical factors.

Hyperscaler Dependence and Strategy

• Consistent Revenue Source: Hyperscalers consistently contribute roughly 50% of Nvidia's revenue.
• Aggressive Spending: Companies like Meta are demonstrating aggressive spending on AI infrastructure, with CEO Mark Zuckerberg stating they will find uses for it eventually.
• In-House Chip Development: Hyperscalers are also developing their own custom chips (e.g., Amazon's Trainium and Inferentium, Google's TPUs) and working with competitors like AMD.

Competitive Landscape

• AMD's Rack-Scale Solutions: AMD is introducing rack-scale solutions, such as "Helios," in partnership with Oracle and OpenAI, which could challenge Nvidia's dominance in this area.
• Custom Chip Market: The market for custom chips, developed in collaboration with companies like Broadcom or in-house, is growing.
• Microsoft's Efforts: Microsoft is also exploring or working on its own AI chip solutions.

Nvidia's Market Share

• Dominant Position: Despite increasing competition, Nvidia is estimated to still hold 90% of the AI chip market.
• Resilience to Competition: Even a reduction to 75% market share would still leave Nvidia as the dominant player.
• No Revenue Impact Yet: To date, there has been no significant impact on Nvidia's revenue or earnings from this increased competition.
• TAM Expansion: If Lisa Su's projection of a continuously expanding TAM is accurate, it could benefit all players in the market.