Is NVIDIA (NVDA) the Most Profitable Stock to Invest In?

NVIDIA reported Q1 adjusted EPS of $1.87 versus $1.77 consensus and revenue of $81.6B versus $79.12B, while management said AI factory buildout and agentic AI adoption are accelerating. Raymond James and BofA both raised price targets to $330 and $350, respectively, citing the earnings beat, stronger guidance, and share gains. Nvidia also authorized an $80B buyback and lifted its dividend from 1 cent to 25 cents per share, though the article notes Huang urged Super Micro to strengthen compliance after a Taiwan fraud-related detention.

Analysis

NVDA’s fundamental backdrop remains intact, but the cleaner read is that the market is moving from “AI buildout” to “AI monetization plus shareholder return.” The size and cadence of repurchases matter because they can dampen multiple compression during any digestion phase in capex-heavy data-center cycles, especially if growth normalizes from hyper-growth to merely strong growth over the next 2-4 quarters.

The more interesting second-order effect is on the supply chain: pressure on SMCI compliance raises the bar for channel partners and potentially shifts incremental share toward vendors with tighter auditability, stronger balance sheets, and less operational headline risk. That can be a hidden tailwind for the large platform names while squeezing smaller system integrators that rely on speed and aggressive deal structuring.

The consensus seems to be underpricing how much of NVDA’s upside now depends on inference demand breadth rather than just training spend. If inference remains the dominant incremental use case, the revenue mix becomes more recurring and less lumpy, which supports valuation resilience; if inference adoption slows, the market may reassess the durability of the current beat/raise trajectory within 1-2 quarters.

Contrarian risk: the biggest threat is not demand collapse, but expectation inflation. After a clean earnings beat and higher buyback/dividend optics, the stock is now more vulnerable to any incremental deceleration, margin chatter, or export/regulatory headline than it was six months ago; those would likely compress the multiple before they hit the model.

Key Decisions for Investors

• Stay long NVDA, but reduce outright beta by financing with short-dated covered calls 5-8% OTM over the next 30-45 days; this monetizes post-earnings implied vol while retaining most upside if the stock grinds higher.
• Pair trade: long NVDA / short SMCI for 1-3 months. Thesis: governance and compliance risk can re-rate the systems integrator lower even if AI capex stays strong; use a 2:1 notional to reflect NVDA’s lower event risk and stronger quality premium.
• Add on NVDA pullbacks only toward the 20-30 day moving average rather than chasing strength; risk/reward improves if the market gives a 4-6% reset after analyst target hikes fade.
• Consider a basket long of higher-quality AI infrastructure beneficiaries versus lower-quality channel names, avoiding leveraged or thin-margin hardware where headline risk can erase multiple expansion quickly.
• If SMCI gaps down on follow-through regulatory concerns, use that weakness to express the relative-value short rather than an outright short on NVDA, since the cleaner trade is governance dispersion, not a collapse in AI demand.