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NVIDIA Cheaper Than the S&P 500: Is This the Floor?

2 min

NVIDIA’s stock is now at its lowest valuation relative to the broader market in over ten years. This creates a rare buying opportunity for investors, as bargain hunters and long-term investors may find the historically low valuation appealing despite ongoing pressure on AI-related technology stocks. The main thesis is that NVIDIA is a unique investment opportunity given its current low valuation and its ability to overcome short-term market challenges.

The shares have dropped 8.2% so far this year, reaching their lowest closing price since mid-December after falling 4.2% on Thursday. However, the stock rose 0.3% in premarket trading on Friday, which could be an early sign that selling pressure is easing.

At this point, valuation is the main focus for traders. Specifically, NVIDIA is trading at a forward price-to-earnings ratio of about 19.7, which is lower than the S&P 500’s average of 20.3. This is notable because NVIDIA is expected to grow faster than the broader index. Importantly, it also ends a 13-year period where NVIDIA traded at a premium to the benchmark index. This change shows the market is rethinking how it values AI infrastructure investments in the short term.

Meanwhile, retail investors have noticed this discount. According to recent JPMorgan data for the week ending March 25, NVIDIA remains the most actively traded stock among retail traders. This shows that many see the current price as a good entry point, not a sign of weakening fundamentals. At the same time, institutional researchers also remain positive, with recent discussions showing strong confidence in the stock’s long-term outlook.

Beyond NVIDIA, other semiconductor stocks have also fallen, with similar declines seen in premarket trading on Friday. For traders and fintech investors watching the AI hardware sector, the key question is whether Nvidia’s lower valuation is a short-term dip or a sign of a longer downturn for AI tech stocks as the market recalibrates its expectations for AI growth.

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