Is It Too Late to Buy Nvidia Stock?

Nvidia's fiscal Q2 2027 revenue surged 106% year over year to $96.2 billion, while data-center revenue rose 117% to $89 billion and net income more than doubled to roughly $60 billion. Management guided fiscal Q3 revenue to $108 billion and expects approximately 70% revenue growth in fiscal 2028, with supply constraints rather than demand limiting output. Gross margin is expected to decline from 75% to 71%-72% in fiscal Q4 before stabilizing at 72%-73% in fiscal 2028, creating a key risk alongside concentrated cloud-customer demand and potential AI-spending cyclicality. At about $224 per share, the article estimates Nvidia trades near 28x trailing EPS but roughly 14.5x fiscal 2028 consensus earnings, supporting a bullish valuation view if projected growth materializes.

Analysis

The important earnings revision is not the top-line trajectory but the redistribution of economics within the AI stack. Rising memory input costs create a near-term transfer from NVDA’s gross margin to HBM suppliers and packaging/foundry partners; MU is the most liquid U.S. expression, while TSM captures wafer volume with materially lower valuation sensitivity to a single accelerator architecture. NVDA can still grow earnings rapidly, but the market should distinguish unit scarcity from pricing power: supply-constrained revenue does not prevent margin dilution when constrained inputs are controlled by other vendors.

Over the next 1-3 months, the decisive catalyst is whether hyperscaler capex guidance and accelerator lead times remain firm while NVDA’s gross-margin floor stabilizes. A margin trough that extends beyond management’s indicated period would challenge the assumption that incremental revenue converts at historical rates and could compress the multiple despite continued revenue beats. Independently verifiable checks are HBM contract-price trends, CoWoS capacity additions, cloud-provider capex commentary, and any shift in delivery schedules.

The 6-18 month risk is demand normalization disguised initially as supply relief. Once cloud customers absorb installed capacity, custom silicon from AVGO/GOOGL/AMZN and inference-oriented alternatives could lower NVDA’s share of incremental workloads even if industry AI spending remains healthy. Consensus appears too focused on whether NVDA can deliver the next supply build; the more consequential question is whether its earnings power remains durable after customers’ first training clusters are deployed.

Key Decisions for Investors

• Maintain a core long NVDA only with defined downside: accumulate on post-results volatility rather than chase strength, and use a 6-9 month 10-15% out-of-the-money put spread as protection. The thesis is falsified by a second consecutive gross-margin guide-down or a material reduction in hyperscaler AI-capex plans.
• Initiate a 3-6 month long MU / short NVDA beta-adjusted pair in modest size. HBM price inflation should improve MU’s earnings revisions while pressuring NVDA input costs; target 15-20% relative upside, with a stop if memory pricing reverses or MU fails to secure expected HBM qualification and volume ramps.
• Prefer TSM over broad semiconductor exposure for incremental AI allocation over 6-18 months. TSM monetizes higher accelerator volumes across NVDA and competing ASIC programs, reducing architecture concentration; reassess if advanced-node utilization weakens or pricing concessions emerge.
• Set an alert around the next hyperscaler reporting cycle: simultaneous capex moderation from MSFT, GOOGL, AMZN, or META would be a de-risking signal for NVDA and the AI hardware complex, even if near-term shipment guidance remains intact.