Nvidia stock closed at $188 on Friday, up 1.2% for the session. The chipmaker has rallied more than 30% over the past year.
NVIDIA Corporation, NVDA
Wall Street analysts see room for the stock to run higher. The consensus price target sits at $253.02, implying 33% upside from current levels.
Price targets range from $140 on the low end to $352 on the high end. This spread reflects different views on how long Nvidia can maintain its rapid growth as AI infrastructure spending matures.
The earnings story backs up the optimism. Analysts expect earnings per share of $4.69 for the fiscal year ending this month. That represents 56.9% year-over-year growth.
Looking ahead to January 2027, consensus estimates jump to $7.57 per share. That’s another 61% increase year over year.
At current prices, Nvidia trades at roughly 40 times forward earnings. That’s a high multiple by most standards.
But the math changes fast. By January 2027, the forward P/E ratio drops to 24.8 times based on analyst forecasts. Earnings growth does the work instead of multiple expansion.
At the $253 price target, Nvidia would trade at 53 times forward earnings. The price-to-earnings-to-growth ratio would move from 1.06 to 1.4.
That’s still below the information technology sector average of 1.66. It’s also under Nvidia’s own five-year average PEG of 1.61. On this metric, the stock could trade higher without looking stretched.
OpenAI’s ChatGPT predicts Nvidia will trade between $240 and $260 by the end of January 2026. The base case centers around $250.
The forecast assumes continued strength in AI-related demand. Data centers keep buying advanced GPUs for training and inference workloads. Hyperscalers and major tech companies maintain heavy investment in AI infrastructure.
Revenue growth should stay ahead of most large-cap peers. Strong demand for high-end chips and a solid order pipeline support this view.
In a bullish case, ChatGPT sees Nvidia reaching $280 to $320 by late January. This requires stronger-than-expected earnings and faster global AI deployment. Favorable market conditions for high-growth tech stocks would help.
The bearish scenario puts Nvidia at $180 to $210. This could happen if AI spending slows faster than expected. Increased competition or broader market volatility leading to tech sector repricing would pressure shares.
Enterprises are buying Nvidia chips to cut costs, automate workflows, and build revenue-generating products. They’re not speculating on resale value. That’s different from previous tech bubbles.
Risks include growth falling short of expectations. A competitor could gain ground. Demand might shift toward application-specific integrated circuits instead of Nvidia GPUs. But the current trajectory looks strong with no clear reason to doubt near-term forecasts.
The stock trades below both sector averages and its own historical valuation metrics while maintaining a dominant position in AI hardware.
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