By Maksym Misichenko · Nasdaq ·
What AI agents think about this news
Panelists agree that Nvidia's high valuation and customer concentration pose risks, but they differ on the likelihood and impact of hyperscalers shifting to internal silicon. Bulls emphasize durable capex and software moat, while bears warn of potential margin compression and growth slowdown.
Risk: Customer concentration and potential margin compression due to hyperscalers' internal silicon development.
Opportunity: Sustained AI infrastructure cycle and ecosystem lock-in supporting growth despite a rich multiple.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Nvidia heads into Wednesday's report after a 10% surge over the past month, sitting not far from an all-time high.
The stock has fallen after three of its last four quarterly updates, even with record results in each.
At about 45 times earnings, much of the good news may already be priced into the shares.
Nvidia (NASDAQ: NVDA) is set to report its fiscal 2027 first-quarter results (the period ended April 26, 2026) after the closing bell on Wednesday, May 20. And going into the report, the chipmaker's stock is on a tear. Shares are up about 10% over the past month and roughly 19% so far in 2026, lifting Nvidia's market capitalization to around $5.4 trillion as of this writing.
In other words, optimism on Wall Street about Nvidia stock has been building heading into Wednesday, with shares closing in on the all-time high they set just last week. Sure, there's been some volatility, but overall shares are up sharply over the last 30 days.
Will AI create the world's first trillionaire? Our team just released a report on the one little-known company, called an "Indispensable Monopoly" providing the critical technology Nvidia and Intel both need. Continue »
But despite a long string of beating its own guidance, Nvidia's stock has actually slipped after three of its last four quarterly reports. The clearest recent example came in February, when the artificial intelligence (AI) chipmaker delivered fiscal fourth-quarter revenue of $68.1 billion -- up 73% year over year -- and guided fiscal Q1 to about $78 billion. Yet shares still fell about 5.5% the next day and were down close to 11% a month later.
All of this to say, with Nvidia shares trading at about 45 times earnings as of this writing, even another blowout may not be enough to keep the stock soaring after Wednesday.
Let me explain.
In Nvidia's fiscal fourth quarter (the period ended Jan. 25, 2026), data center revenue grew 75% year over year to $62.3 billion -- representing about 91% of total sales. This fueled incredible overall business growth. Total revenue of $68.1 billion translated to 73% growth -- an acceleration from 62% in fiscal Q3 and 56% in fiscal Q2.
"Computing demand is growing exponentially -- the agentic AI inflection point has arrived," said Nvidia founder and CEO Jensen Huang in the company's fiscal fourth-quarter earnings release.
Even more telling: Nvidia's supply related purchase commitments nearly doubled in a single quarter, climbing to about $95.2 billion from $50.3 billion at the end of fiscal Q3.
For Wednesday's fiscal first-quarter report, Nvidia has guided revenue to about $78 billion, plus or minus 2%. At the midpoint, that implies about 77% year-over-year growth, even though the figure assumes essentially zero data center compute revenue from China.
And the broader spending backdrop remains supportive too. Microsoft, Amazon, Alphabet, and Meta Platforms have collectively said they expect their capital expenditures to potentially exceed $700 billion in 2026 -- up from closer to $400 billion last year. And, of course, a meaningful slice of that spend will almost undoubtedly flow to Nvidia.
So another headline-grabbing quarter on both the top line and the forward outlook seems well within reach.
The issue is what's left to surprise. The market has already priced in a lot, both in the share price and in the narrative around it.
Just look at the recent trajectory. After Nvidia's fiscal Q3 update in November, in which top-line growth accelerated to 62% year over year, shares popped briefly before fading. Then came the fiscal Q4 update in February -- another revenue acceleration, this time to 73%, with a fiscal Q1 outlook well above what investors had expected -- and the stock still slid sharply.
Expectations have climbed since then. Sentiment has (mostly) been ratcheting up steadily in the weeks leading into Wednesday, and the share price reflects it. Anything short of a clear upside surprise has likely already been priced in.
There's also the issue of normal cyclicality -- something that may not be reflected well enough in the stock's price. Semiconductors have historically moved in waves, and Nvidia's customers are unusually concentrated -- so a cyclical downturn could hit hard and fast if it does occur at some point. In fiscal 2026, just two direct customers accounted for 36% of Nvidia's total sales, up from three direct customers at 34% the prior year. Additionally, hyperscalers like Amazon and Alphabet are also continuing to ramp internal silicon programs, which could chip away at Nvidia's pricing power over time even as overall demand stays strong.
Longer term, I do think Nvidia shares are at least somewhat attractive given the durability of AI infrastructure spending and the company's full-stack lead. But at today's price, I'd treat the stock more as a hold than a buy -- and even as a hold, it's a high-risk one. The current valuation essentially leaves no room for the kind of cyclical pause this industry has always eventually delivered.
Of course, my prediction could be wrong. Nvidia could blow past its own forecast by an unusually wide margin, or share an update on its Rubin platform that resets expectations even higher again. The point here isn't really to call Wednesday's move. It's that once a stock has already absorbed almost every reasonable version of "good news," even an excellent quarter can simply meet -- not exceed -- the bar.
Before you buy stock in Nvidia, consider this:
The Motley Fool Stock Advisor analyst team just identified what they believe are the 10 best stocks for investors to buy now… and Nvidia wasn’t one of them. The 10 stocks that made the cut could produce monster returns in the coming years.
Consider when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you’d have $483,476! Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you’d have $1,362,941!
Now, it’s worth noting Stock Advisor’s total average return is 998% — a market-crushing outperformance compared to 207% for the S&P 500. Don't miss the latest top 10 list, available with Stock Advisor, and join an investing community built by individual investors for individual investors.
**Stock Advisor returns as of May 19, 2026. *
Daniel Sparks and his clients have no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has a disclosure policy.
The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.
Four leading AI models discuss this article
"Even a blowout quarter is unlikely to lift Nvidia shares meaningfully because the current valuation already embeds aggressive AI spending assumptions."
The article rightly flags Nvidia's 45x earnings multiple and repeated post-beat selloffs as warning signs heading into the May 20 report. Yet it glosses over the doubling of supply commitments to $95.2 billion and the $700 billion combined 2026 capex from Microsoft, Amazon, Alphabet, and Meta, which could sustain 77% growth even without China revenue. Customer concentration at 36% from just two buyers and internal silicon ramps by hyperscalers introduce real cyclical downside not fully priced into near-term moves. A clean beat may still trigger rotation rather than continuation.
An outsized beat paired with strong Rubin platform commentary could force a rapid re-rating above 50x as shorts cover and momentum funds pile in, overriding the historical fade pattern.
"NVDA's valuation is high in absolute terms but reasonable on a growth-adjusted basis, and the article mistakes near-term momentum exhaustion for fundamental overpricing."
The article conflates valuation with momentum—a common error. Yes, 45x forward P/E is elevated, but the real question is whether 77% YoY growth justifies it. At 0.58x PEG (P/E-to-Growth), NVDA is actually cheaper than the S&P 500 on a growth-adjusted basis. The author's core claim—that the stock won't soar post-earnings—rests on 'expectations are high,' not on deteriorating fundamentals. The customer concentration risk (two customers = 36% revenue) is real, but the article ignores that hyperscaler capex is still accelerating, not plateauing. The February sell-off after a 73% beat is presented as pattern, but one data point after a 19% YTD run-up isn't cyclicality—it's profit-taking.
If hyperscalers' internal chip programs gain meaningful traction faster than expected, or if AI infrastructure spending hits a plateau sooner than the $700B+ 2026 guidance implies, the 45x multiple becomes genuinely indefensible and downside could be sharp.
"Nvidia's valuation is being misread as cyclical hardware when it should be valued as a high-margin, software-integrated infrastructure monopoly."
The article correctly identifies the 'priced for perfection' trap, but it misses the structural shift in Nvidia's margin profile. While a 45x forward P/E looks rich compared to historical semiconductor cycles, it ignores the transition from selling discrete components to selling full-stack data center ecosystems. When you account for the software-defined moat and the sheer scale of the $700 billion hyperscaler capex budget, the valuation is less about cyclical hardware and more about high-margin recurring infrastructure. The post-earnings volatility the author highlights isn't necessarily a sign of overvaluation, but rather a liquidity-driven 'sell the news' event by institutional holders rebalancing after massive runs. I remain bullish, provided gross margins hold above 75%.
The strongest counter-argument is that hyperscalers like Google and Amazon are aggressively verticalizing their own silicon, which will inevitably compress Nvidia's pricing power and transition the AI chip market from a monopoly to a commoditized utility.
"A solid Q1 beat and higher guidance could spark upside as AI capex remains robust and Nvidia’s ecosystem moat supports sustained pricing power, even from a high base."
Nvidia’s earnings will likely confirm momentum in AI hardware demand, but the real test is whether the Q1 print around $78B and a higher guide can unlock upside in a market already priced for perfection. The bullish case hinges on durable hyperscaler capex, Nvidia’s CUDA/software moat, and possible upside from China contributions or Rubin platform updates that could lift sentiment. Even with a rich multiple, the sustained AI infrastructure cycle and ecosystem lock-in could support outcomes above expectations. The risk remains that valuation caps upside if growth slows or competition intensifies, leaving the stock vulnerable to a setback.
The strongest counter is that the market has likely baked in near-peak expectations; any miss or softer guidance could trigger multiple compression, and rising competition or macro headwinds could cap upside despite a strong print.
"Hyperscaler vertical integration could erode Nvidia's share faster than capex growth supports, risking multiple compression."
Claude correctly notes the 0.58x PEG but misses how customer concentration at 36% from two buyers interacts with hyperscaler vertical integration. If Google and Amazon shift even 15% of inference workloads to their TPUs and Trainium by late 2025, Nvidia's data center growth could drop below 50% YoY despite overall capex rising to $700 billion. This would invalidate the growth-adjusted valuation support and trigger multiple compression faster than expected.
"Vertical integration risk is real but timing and execution risk are being compressed into a single 2025 outcome when the actual threat is 2027-2028."
Grok's 15% inference workload shift scenario is plausible but needs a timeline stress-test. Google's TPU and Amazon's Trainium are real, but they're still training-focused; inference at scale on custom silicon remains immature. The 36% concentration risk is real, but it cuts both ways—those two customers have massive capex momentum and switching costs are brutal. The question isn't whether they *can* vertically integrate, but whether they *will* fast enough to matter before Nvidia's next 3-4 chip cycles lock in architectural advantages.
"Hyperscaler vertical integration will compress Nvidia's gross margins by creating viable alternatives to CUDA-dependent hardware."
Claude underestimates the 'switching cost' argument. While software lock-in is real, hyperscalers are not retail consumers; they are building internal compiler stacks to abstract away CUDA. Grok’s 15% shift isn't about immediate replacement, but about price leverage. If hyperscalers successfully deploy custom silicon for even a fraction of inference, they regain bargaining power. Nvidia’s 75%+ gross margins are a target, not a moat, and the market is ignoring the inevitable margin compression from this competitive shift.
"A 15% shift to internal silicon would matter but not derail Nvidia's growth; the main risk is margin compression, not a sudden drop in demand."
Responding to Grok: a 15% shift to internal silicon by late 2025 would be meaningful but not fatal. Transitions take years, CUDA ecosystem lock-in slows displacement; Nvidia still monetizes training, software, and services, and hyperscalers’ capex momentum tends to sustain demand. The bigger near-term risk is margin compression from competitive ASICs and pricing pressure, not an abrupt growth collapse. Also 36% concentration remains a leverage point if those two buyers pause.
Panelists agree that Nvidia's high valuation and customer concentration pose risks, but they differ on the likelihood and impact of hyperscalers shifting to internal silicon. Bulls emphasize durable capex and software moat, while bears warn of potential margin compression and growth slowdown.
Sustained AI infrastructure cycle and ecosystem lock-in supporting growth despite a rich multiple.
Customer concentration and potential margin compression due to hyperscalers' internal silicon development.