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3 Reasons to Buy Nvidia Stock in July

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Artificial IntelligenceCorporate EarningsAnalyst EstimatesCompany FundamentalsInvestor Sentiment & Positioning
3 Reasons to Buy Nvidia Stock in July

Nvidia is down 8% in June but still up 12% into quarter-end, trading at ~15x next year’s earnings after surging 85% revenue and 139% adjusted earnings in its latest quarter. Despite AI chip competition and ongoing China restrictions, the article points to improving profitability (55.7% adjusted net margin) and rising EPS estimates toward $8.97 (FY) and $12.76 (FY2028). Valuation is framed as cheaper—<22x this year’s earnings and ~15x the next fiscal year—suggesting a potential July rebound rather than fundamental deterioration.

Analysis

The setup is more about rotation than deterioration: NVDA is no longer the cleanest way to express AI capex, but that does not mean the AI spend cycle is weakening. The market is paying up for the second derivative winners — memory, storage, networking, power — because they have nearer-term pricing power and less narrative risk; that can persist for 1-3 months even if NVDA remains the strategic platform.

The key second-order issue is concentration risk in the AI trade. If hyperscalers keep pushing more custom silicon and internal ASICs, NVDA can still grow, but its share of incremental AI wallet may flatten, which is how a stock can look optically cheap and still deserve a lower multiple over time. The embedded leverage in the earnings estimate is the real battleground: if FY28 revisions stall, the current valuation can stay compressed despite headline growth.

Near term, this is a positioning trade, not a fundamental inflection, because the next company-specific catalyst is late-August earnings. The bull case is a July bounce from washed-out sentiment and low expectations; the bear case is that China restrictions, supply constraints, or slower capex commentary make the market reassess the slope of forward estimates. I’d treat any move above prior highs as confirmation only if revision momentum continues; otherwise the better risk/reward may sit in the AI supply chain rather than the name most identified with the theme.

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