Nvidia’s Rally Is Just Getting Started. The Stock Is Still Cheap.
Nvidia’s Rally Is Just Getting Started. The Stock Is Still Cheap.
The financial world is currently witnessing a tectonic shift as Nvidia continues its meteoric rise, solidifying its position as the primary engine of the global artificial intelligence revolution. Despite a multi-year surge that has seen the company reach a historic $5.5 trillion market capitalization, many analysts and market experts argue that Nvidia’s rally is just getting started and the stock remains fundamentally cheap when measured against its future earnings potential. As hyperscalers, sovereign nations, and enterprises race to build out the infrastructure for agentic AI, Nvidia’s Blackwell and upcoming Vera Rubin platforms are poised to drive unprecedented revenue growth well into 2027 and beyond.
Nvidia’s stock is considered cheap because its forward Price-to-Earnings (P/E) ratio and PEG ratio indicate that the market has not yet fully priced in the exponential growth of the AI infrastructure market, which is projected to reach $1.7 trillion by 2030. With a dominance of roughly 80% in the GPU market and a software moat through CUDA, Nvidia is capturing an outsized share of the value chain. Current valuations suggest a PEG ratio near 0.63, implying that the stock is undervalued relative to its triple-digit revenue and earnings growth projections.
The Dominance of the Data Center and AI Infrastructure
Nvidia has successfully transformed itself from a niche graphics chip designer into a global infrastructure monopoly. The heart of this transformation lies in the data center segment. In the most recent fiscal reports, Nvidia’s data center revenue surged to record highs, reflecting a massive global investment in AI factories. This is not a temporary bubble but a multi-generational shift in computing. Every major cloud provider, including Meta, Microsoft, and Amazon, is scaling up their AI clusters using Nvidia’s high-performance hardware.
The accelerating demand for AI compute is driven by the transition from traditional search and retrieval to agentic AI—autonomous systems that can reason and execute tasks. This transition requires a massive increase in computational horsepower. Nvidia's "full-stack" approach, combining hardware, software (CUDA), and networking (InfiniBand/NVLink), ensures that competitors face a significant uphill battle to erode its market share. This structural advantage allows Nvidia to maintain high margins even as it ramps up production of its most advanced chips.
Understanding Why the Stock Is Still Historically Cheap
While the nominal price of Nvidia shares may seem high to the casual observer, professional analysts look at valuation multiples relative to growth. As of May 2026, many valuation models show that Nvidia’s forward P/E ratio is actually declining despite the stock price rising. This phenomenon occurs because earnings are growing faster than the share price. For example, some analysts project earnings per share (EPS) to reach $15 to $16 by calendar year 2027, making today's price look like a bargain for long-term investors.
Furthermore, Nvidia’s PEG ratio (Price/Earnings to Growth) remains significantly lower than many other high-growth tech peers. A PEG ratio below 1.0 is traditionally considered a sign of an undervalued stock. By this metric, Nvidia is "running rings" around traditional tech giants. The market is beginning to realize that the revenue targets of over $300 billion for fiscal year 2027 are not only achievable but may be conservative given the current pace of hyperscale capital expenditure.
The Blackwell and Rubin Supercycles
The current growth story is centered on the Blackwell architecture, which is already seeing massive commitments from companies like Meta and OpenAI. However, the real catalyst for the next leg of the rally is the "Rubin Supercycle." Announced to start shipping in late 2026, the Vera Rubin platform promises up to a 10x reduction in inference costs and significantly improved energy efficiency. This rapid innovation cycle forces customers to stay within the Nvidia ecosystem to maintain their competitive edge in AI.
Nvidia’s ability to hit an aggressive annual product cadence is unprecedented in the semiconductor industry. By moving from a two-year cycle to a one-year cycle, Nvidia is effectively widening its moat. Analysts believe that the visibility into demand for these new platforms extends well into 2027, providing a stable floor for the stock's valuation. This constant refresh cycle ensures that Nvidia remains the "gold standard" for AI training and inference for the foreseeable future.
Financial Performance and Growth Metrics
| Metric | Value / Projection (FY2026-2027) |
|---|---|
| Quarterly Revenue Growth (YoY) | 73.2% (Q4 FY2026) |
| Data Center Revenue | $62.3 Billion (Record Quarterly) |
| Annual Revenue Forecast (FY2027) | $333 Billion - $366 Billion |
| Fair Value Estimate (Morningstar) | $260.00 |
| Projected EPS (FY2027) | $8.06 - $8.28 |
Global Expansion and Geopolitical Catalysts
Nvidia’s growth is no longer limited to Silicon Valley. We are seeing the rise of "Sovereign AI," where nations like Singapore, India, and those in the Middle East are investing billions to build their own domestic AI capabilities. This creates a diversified revenue stream that is less dependent on the capital expenditure of a few US-based hyperscalers. These nations view AI infrastructure as a matter of national security and economic competitiveness, leading to long-term, multi-year supply contracts.
Additionally, geopolitical developments, such as potential deals regarding chip exports to China, could open up significant additional revenue streams. While Nvidia currently assumes zero data center compute revenue from China in its conservative outlooks, any easing of trade restrictions or the development of compliant, high-performance chips for the Chinese market would represent a massive "beat-and-raise" opportunity for the stock. CEO Jensen Huang’s active involvement in diplomatic and trade discussions highlights the strategic importance of the company on the world stage.
Addressing the Bear Case: Competition and Margins
Critics often point to rising competition from custom ASICs developed by Google (TPU), Amazon (Trainium), and even Microsoft as a primary threat. However, Nvidia’s advantage is not just the chip, but the ecosystem. Software developers are deeply entrenched in CUDA, and the cost of switching to a different architecture is prohibitive for most enterprises. While custom chips may take some share in specific internal workloads, Nvidia remains the universal choice for the broader market.
Concerns about gross margin pressure due to rising costs of high-bandwidth memory (HBM) are also frequently cited. While BofA and other firms flag a potential 30-50 basis point annual pressure, Nvidia’s scale and pricing power allow it to absorb these costs without significantly impacting profitability. The company’s net income growth continues to outpace its industry peers, driven by the massive scale of its operations and the high value-add of its integrated systems.
Nvidia vs. The Global Economy
The scale of Nvidia’s success is best understood through comparison. Nvidia is now worth more than the entire equity markets of major economies like India and France. If Nvidia were a country, it would be the world's third-largest economy based on its market cap. This unprecedented valuation reflects the market's belief that AI is the most significant technological shift since the Industrial Revolution, and Nvidia is the primary beneficiary.
As the company captures a larger share of global GDP through the "AI industrial revolution," the traditional rules of valuation are being rewritten. The company is returning tens of billions of dollars to shareholders through buybacks and dividends, demonstrating a level of financial strength that few companies in history have ever achieved. This capital return, combined with accelerating growth, makes the stock an attractive core holding for both growth and value-oriented institutional investors.
Why Analysts Are Raising Price Targets
Major financial institutions like Bank of America, Cantor Fitzgerald, and RBC Capital Markets have recently raised their price targets for Nvidia, with some estimates reaching as high as $350. These raises are based on the realization that the Total Addressable Market (TAM) for AI data center systems is expanding faster than previously thought. BofA now estimates the TAM will reach $1.7 trillion by 2030, driven by AI accelerators and server CPUs.
Analysts are also gaining confidence in the multi-year demand trajectory. Instead of a one-time "pull-forward" of demand, the market is seeing a sustained, multi-year build-out. The transition to agentic AI, physical AI in robotics, and low-latency inference are all new growth vectors that were not fully accounted for in previous models. As these narratives take hold, the "perfection priced in" argument is being replaced by the "underestimation of potential" reality.
Frequently Asked Questions
Is Nvidia stock currently overvalued?
What is the next big product for Nvidia?
Does Nvidia pay a dividend?
Who are Nvidia's main competitors in the AI space?
What is Nvidia's market share in AI GPUs?
Conclusion
The evidence is overwhelming that Nvidia’s historic rally is not a fleeting moment but the beginning of a multi-year expansion. By every traditional metric of valuation relative to growth—P/E, PEG, and forward revenue projections—the stock remains undervalued. The combination of a dominant market position, a deep software moat, and an unrelenting innovation cycle through Blackwell and Rubin ensures that Nvidia will remain the central pillar of the AI economy. Investors who dismiss the rally as "overheated" may be overlooking the fundamental reality: we are in the early stages of a global industrial revolution, and the stock is still remarkably cheap for the growth it delivers.
Nvidia’s Rally Is Just Getting Started. The Stock Is Still Cheap.
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