3 Reasons to Buy Nvidia Stock in June

Nvidia posted fiscal Q1 revenue of $81.6B, up 85% year over year, with adjusted earnings surging 139% to $45.5B and a 55.7% adjusted net margin. Analysts raised next-year EPS estimates to $12.66 from $11.63, while the stock fell 5% after the report, leaving it at about 17x next year's earnings. The article argues the pullback, plus an $80B buyback authorization and dividend increase, makes the AI leader look cheaper despite China trade restrictions and supply constraints.

Analysis

The key signal is not that NVDA printed another blowout quarter; it is that the stock failed to re-rate despite a clear upward reset in earnings power. That usually means positioning was already crowded, but it also creates a second-order setup: any incremental evidence of supply relief or China reopening can compress the multiple on both the forward estimate and the growth duration simultaneously. In other words, the market is currently paying for a “good AI winner,” while the business may still be in the phase where it deserves a scarcity premium.

The more interesting beneficiary set is not the obvious AI hardware peers, but the ecosystem names with operating leverage to NVDA capex that do not carry comparable geopolitical overhangs. If NVDA re-accelerates into China, memory, networking, and advanced packaging vendors should see faster earnings revisions than the chip leader itself because they are still earlier in the revision cycle. Conversely, if export restrictions persist, the pain will show up first in suppliers with the highest China mix, not necessarily in NVDA’s headline growth rate.

The board’s capital return actions matter as a signaling device: they imply management sees the stock as undervalued relative to its own earnings trajectory, which is often a useful floor when growth is still compounding at high speed. But that same signal can cap upside near-term if investors interpret buybacks/dividend as evidence the next leg of upside depends more on multiple expansion than on pure fundamental surprise. The real catalyst window is the next 1-3 months, when analyst revisions, China policy headlines, and supply normalization can either validate the post-earnings drift lower as a buying opportunity or expose that the stock needed an even bigger beat to justify its premium.

The contrarian miss is that this may be less about NVDA being “cheap” and more about the market rotating to the second derivatives of AI spend. If AI infrastructure spend remains robust, the highest beta to the capex cycle could be the component and equipment names; if AI demand slows, NVDA is still the best balance sheet and moat in the group. That makes the trade less about absolute direction and more about relative positioning across the stack.

Key Decisions for Investors

• Buy NVDA on a 2-4 week dislocation window only if it holds the post-earnings low; use a 3-6 month horizon and expect upside to come from multiple re-rating plus estimate revisions, not just headline growth.
• Express the relative value view with a long NVDA / short a higher-multiple AI infrastructure laggard basket; this isolates the strongest balance sheet and moat while reducing exposure to sentiment-driven de-rating.
• Prefer long exposure to suppliers with cleaner China risk and stronger revision momentum over outright NVDA add-ons; the better risk/reward may sit in second-order beneficiaries if AI capex remains intact.
• If pursuing NVDA upside, use call spreads rather than stock for the next 1-3 months; the stock may grind rather than rip, and spreads protect against further post-earnings compression.
• Set a tactical take-profit rule on any China-policy-driven spike: if NVDA re-rates on export relief headlines, trim into strength because the first move will likely price the policy change faster than the incremental earnings benefit.