NVDA Guides $91B for Q2, Beating Consensus by $5B, While Stock Fades at 33x Forward P/E

NVIDIA delivered the kind of quarter that would reset expectations for almost any other company, yet the stock faded, a rare divergence that reveals something important about how markets are pricing AI. The company posted record Q1 revenue of $81.6B with record data-center revenue of $75.2B, and guided to $91B for Q2, beating consensus by approximately $5 billion. The guidanceCompany-issued forecasts of future financial performance. beat, while substantial, was absorbed with muted enthusiasm from traders, suggesting valuation concerns are now the dominant constraint on upside.

However, the data itself tells a powerful story about cycle durability. Three weeks ago, every hyperscaler, Microsoft, Google, Meta, Amazon, raised AI capex guidanceCompany-issued forecasts of future financial performance.. The bear case at that moment was that capex might not show up on NVIDIA's books, with competitors developing in-house silicon to reduce supplier dependency. Last night's $91B guidance directly refuted that thesis: the spending is real, it is flowing to NVIDIA, and it is validating the secular AI infrastructure buildout narrative.

With 80%+ year-over-year revenue growth, NVIDIA's 33x forward P/E becomes defensible on long-durationBond price sensitivity to interest rate changes., high-growth standards. The stock's fade despite the beat suggests either tactical profit-taking after a 200%+ YoY run, or a shift in the marginal buyer from growth-at-any-price momentumThe empirical fact that winners keep winning over the medium term. traders to more disciplined value investors questioning whether 33x earnings justifies the risk. Some traders are positioning for a test of support near $165, framed as a "dip worth buying into" given multi-year AI buildout visibility.

The key risk to the narrative is if hyperscaler capex spending pivots to cheaper, in-house alternatives (like Google's TPUs or Amazon's Trainium chips), fragmenting NVIDIA's moatA sustainable competitive advantage that protects long-term returns on capital.. For now, that risk appears overstated: the spending is flowing to NVIDIA, validating the central thesis that the AI capex cycle is structural and early.