Key Stats for NVIDIA Stock
- Current Price: $225.32
- Target Price (Mid): ~$587
- Street Target: ~$273
- Potential Total Return: ~161%
- Annualized IRR: ~23% / year
- Earnings Reaction: -5.46% (February 25, 2026)
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What Happened?
NVIDIA Corporation (NVDA) crossed nearly $5.5 trillion in market cap this week, becoming the world’s most valuable company, and yet its average analyst price target still sits at around $273 barely 21% above where the stock trades today. That gap is not the story. The story is why it exists, and whether it will last.
The Street prices NVIDIA as a chip company with extraordinary growth. Jensen Huang, Founder and CEO, has been arguing that this framing is wrong in a way that materially changes the valuation math. At the GTC 2026 analyst Q&A on March 18, he made the case directly: “A computer used to be just a tool. A computer of the future is manufacturing equipment. These computers are no different than ASML manufacturing equipment in the future. They’re producing something that is sold.”
That is not a marketing line. It is a framework for pricing the business, and the implications for where NVIDIA stock goes through 2030 are significant.
Bears focus on the China revenue hole (down from $17.1 billion in fiscal year 2025 to effectively zero today) and the risk that hyperscaler capital expenditure eventually slows. Bulls point to over $1 trillion in Blackwell and Rubin purchase orders through 2027, the Vera Rubin production ramp now underway, and an NTM P/E of around 27x that sits below most large-cap semiconductor peers. Both sides are using the same mental model. The tokenomics argument suggests it is incomplete.
Why the Manufacturing Framework Changes Everything
When a company buys a server, traditional analysis asks: What did it cost? Huang’s argument flips the question to: what does it produce? The product is tokens, the text, code, and decisions generated by AI models responding to user prompts. The relevant efficiency metric is tokens per second per watt: AI output per unit of energy consumed.
“Token budget is now a real thing,” Huang said at GTC 2026. “Every engineer is going to have a token budget. And the idea that you would hire a $300,000 engineer and they spend no tokens doing their job you got to ask the question, what are they doing?”
On that metric, Grace Blackwell delivered around 35 times more performance per watt than the Hopper generation, a figure confirmed independently by SemiAnalysis. Vera Rubin, now in production and expected to ship in volume in the second half of 2026, pushes that curve further. Customers would rather pay more for a Vera Rubin system than stick with cheaper Grace Blackwell hardware because the newer system produces more tokens per dollar of electricity. That dynamic is how NVIDIA simultaneously charges more per system and delivers lower cost per token, and it has kept LTM gross margins at 71.1% as the company scaled to $215.9 billion in annual revenue.
Huang put it plainly: “If you have the wrong architecture, even if it’s free, it’s not cheap enough. Because no matter what happens, you still have to build a gigawatt data center.”
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The $1 Trillion Demand Number, and What’s Still Not In It
At GTC 2025, Huang disclosed $500 billion in Blackwell and Rubin demand through end-2026. At GTC 2026 in March, speaking directly to analysts including Bank of America’s Vivek Arya, UBS’s Tim Arcuri, and Cantor Fitzgerald’s C.J. Muse, he updated the figure: “Right here where I stand, I see through 2027, at least $1 trillion.”
He was precise about scope: Blackwell and Rubin only. Rubin Ultra, Feynman, standalone Vera CPUs, and Groq are all excluded. “By definition, it’s going to keep growing,” he added. Analysts at the session including Stacy Rasgon of Bernstein and Joe Moore of Morgan Stanley moved on to asking how it would grow, not whether it was real.
The conversion of that demand into revenue is what May 20 needs to confirm. TIKR consensus estimates show FY1/31/27 revenue at $372.5 billion, implying around 73% growth over fiscal year 2026’s $215.9 billion. Management guided Q1 at $78 billion. Five consecutive quarters of revenue beats, per TIKR’s Beats and Misses data, make an outright miss unlikely. The real question is Q2 guidance and any signal on China.
The China Variable and the Fresh Analyst Upgrades
This week, Jensen Huang joined President Trump’s Beijing summit after a direct call from the President. According to Reuters, the U.S. has cleared around 10 Chinese firms, including Alibaba, Tencent, ByteDance, and JD.com, to purchase NVIDIA’s H200 chips. No deliveries have been made. Beijing has hesitated, concerned that imports would undermine its domestic chip industry. U.S. Commerce Secretary Howard Lutnick confirmed in a Senate hearing last month that Chinese regulators have not yet permitted the purchases.
Huang has estimated the Chinese market at approximately $50 billion in annual revenue, a figure absent from current guidance and from most Street models. It is an optionality that the current price does not require.
Three analysts who attended GTC 2026 and questioned Huang directly all upgraded this week. Bank of America’s Vivek Arya raised his price target to $320 from $300 on May 13, maintaining a Buy, and raised BofA’s AI data center total addressable market estimate from $1.4 trillion to approximately $1.7 trillion by 2030. Cantor Fitzgerald’s C.J. Muse raised to $350 from $300 on May 14, maintaining an Overweight rating, arguing NVIDIA is effectively sold out through 2026 and 2027. UBS’s Tim Arcuri raised to $275 from $245, maintaining a Buy. Their targets of $275 to $350 remain well below the TIKR mid-case.
On the TIKR Competitors page, NVIDIA trades at around 21x NTM EV/EBITDA. Broadcom sits at around 25x on the same basis. ASML, the dominant supplier of extreme ultraviolet lithography equipment used to manufacture advanced chips, sits at around 29x. Lam Research trades at around 32x. NVIDIA generates more free cash flow than any of its peers and carries a faster revenue growth profile. The discount reflects China risk and hyperscaler concentration concerns that are real, but already priced in.
One More Layer the Street Hasn’t Priced: Groq
Huang disclosed at GTC 2026 that adding Groq, the low-latency inference chip NVIDIA acquired, to roughly 25% of an AI factory’s workload would increase that factory’s total compute spending by around 25%. “If 100% of that $1 trillion now adds Groq, then it will be $1.25 trillion,” he said.
Groq LPX is expected to ship in Q3 2026. That demand is not in the $1 trillion figure and is not in most Street models.
The logic follows from the manufacturing frame. Vera Rubin handles high-throughput token generation for the vast majority of workloads. Groq, a deterministic chip with massive on-chip SRAM, handles the final decode stage, requiring extremely fast, low-latency output, the premium tier used for agentic coding tools like Claude Code and Codex. Those tokens are priced higher. The customers willing to pay for them already exist.
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TIKR Advanced Model Analysis
- Current Price: $225.32
- Target Price (Mid): ~$587
- Potential Total Return: ~161%
- Annualized IRR: ~23% / year
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The mid-case uses a revenue CAGR of around 21% and a net income margin of around 57%. NVIDIA’s normalized net income margin for fiscal year 2026 was 54.2% on $215.9 billion in revenue per TIKR estimates data, with the mid-case margin assumption reflecting continued operating leverage as the business scales. The model embeds a P/E change CAGR of approximately 0.1%, essentially flat multiples, so the return is driven by earnings growth, not multiple expansion.
The two revenue CAGR drivers are Compute and Networking segment revenue (which generated $193.5 billion of fiscal 2026’s $215.9 billion total) and the Vera Rubin demand conversion as the $1 trillion-plus order book ships through 2027 and 2028. The margin driver is operating leverage: R&D and operating expenses are growing meaningfully slower than revenue at this scale.
The primary risk is valuation multiple compression. If hyperscaler capex disappoints materially, or if in-house custom chips from Google, Amazon, or Microsoft displace meaningful GPU workload share, the multiple contracts and the bull case unravel. On the upside, over $1 trillion in demand through 2027, incremental Groq revenue not yet modeled by the Street, and a potential China reopening all sit above the current price without requiring anything to go perfectly.
Conclusion
May 20 is the next forcing function. The threshold that matters is not whether NVIDIA beats $78 billion in Q1 revenue; five consecutive beats make that likely. What matters is Q2 guidance and whether Huang signals any movement on China.
If Q2 guidance clears Street consensus and Huang confirms Groq LPX on schedule, the tokenomics argument shifts from framework to active revenue reality. If guidance lands soft and China produces no progress, the $1 trillion demand story faces its first real credibility test.
The TIKR model says this stock is worth around $587 by January 2031. The Street says $273. One of those numbers is built on the right question about what NVIDIA’s computers actually produce.
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Should You Invest in NVIDIA?
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Disclaimer:
Please note that the articles on TIKR are not intended to serve as investment or financial advice from TIKR or our content team, nor are they recommendations to buy or sell any stocks. We create our content based on TIKR Terminal’s investment data and analysts’ estimates. Our analysis might not include recent company news or important updates. TIKR has no position in any stocks mentioned. Thank you for reading, and happy investing!
