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Is Nvidia Stock Too Cheap to Ignore?

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Is Nvidia Stock Too Cheap to Ignore?

Nvidia trades at 34x trailing earnings and 25x forward earnings despite 85% revenue growth in its latest quarter, suggesting the stock may still be reasonably valued relative to growth. The article argues downside looks limited and that Nvidia should continue outperforming the broad market, though another 1,800% gain is viewed as unlikely near term. Overall, the piece is constructive on NVDA but frames the opportunity as long-term rather than an immediate catalyst.

Analysis

The key second-order issue is that NVDA’s valuation is no longer being judged against semiconductor peers; it is being judged against the durability of AI capex and the absence of an obvious substitute for its ecosystem. That makes the stock less sensitive to a single earnings print and more sensitive to the slope of infrastructure spend, especially if hyperscaler capex remains front-loaded over the next 4-8 quarters. As long as spending is concentrated in training and early inference, NVDA can keep monetizing every incremental dollar of AI build-out at unusually high margins.

What the market may be missing is that the real risk is not a collapse in demand but a normalization in growth rate paired with a multiple compression regime. At a $5T+ equity value, even strong fundamentals can translate into only mid-teens upside unless estimates continue to be revised higher; in other words, the stock has to outperform both on earnings and sentiment to justify further multiple expansion. The asymmetric loser in that scenario is lower-quality AI-adjacent hardware exposure, where investors may rotate from “enablers” into the few names with actual pricing power and operating leverage.

The contrarian setup is that the consensus is still framing NVDA as either “too expensive” or “still cheap,” when the better lens is “can it remain the preferred toll collector on AI infrastructure?” If yes, the next leg is likely not another parabolic re-rating but a slower grind higher with volatility around capex guidance and export-policy headlines. If hyperscaler budgets decelerate or China-related restrictions tighten further, the market will likely cut growth assumptions first and multiple second, creating a 10-15% drawdown window even without any fundamental deterioration in the core franchise.