Nvidia Corporation (NASDAQ: NVDA) enters the final days of November 2025 looking like both the hero and the villain of the AI trade: a record\u2011breaking earnings machine, yet suddenly the target of bubble fears, Google-fueled competition and even Enron memes.<\/p>\n
Below is a deep dive into where Nvidia stock stands as of November 30, 2025, what actually happened this month, and what the latest news means for investors following NVDA.<\/p>\n
Nvidia stock today: price, market cap and November performance<\/p>\n
US markets are closed on Sunday, November 30, 2025, so the latest full trading data comes from Friday, November 28:<\/p>\n
Last close: about $177.00 per share [1]<\/a>Intraday range on Nov. 28: roughly $176.44\u2013$181.00Market cap: around $4.3\u20134.4 trillion, keeping Nvidia among the most valuable (and by some measures the most valuable) company on Earth. [2]<\/a><\/p>\n Despite the bruises, Nvidia is still up roughly 30% year to date in 2025, down from a peak gain of about 54% earlier in the year. [3]<\/a><\/p>\n The November picture is less flattering:<\/p>\n Before earnings, Nvidia shares were down about 8% for the month, despite a 1,200% gain over the prior three years. [4]<\/a>After further selling on Google\u2011TPU headlines, the total November drawdown has been described in recent coverage as roughly 11\u201313%. [5]<\/a><\/p>\n So as of November 30, 2025, Nvidia stock is:<\/p>\n Far off its $5 trillion market\u2011cap highs reached in October. [6]<\/a>Still huge, still dominant, but suddenly mortal again in investors\u2019 eyes.Blowout Q3 FY26 earnings: AI demand still \u201coff the charts\u201d<\/p>\n Underneath the scary stock chart, Nvidia\u2019s latest numbers are almost cartoonishly large.<\/p>\n For Q3 fiscal 2026 (quarter ended October 26, 2025), Nvidia reported: [7]<\/a><\/p>\n Revenue: $57.0 billion, up 22% quarter\u2011over\u2011quarter and 62% year\u2011over\u2011year.Data center revenue: $51.2 billion, up 25% sequentially and 66% year\u2011over\u2011year \u2013 roughly 90% of total sales.Diluted EPS (non\u2011GAAP): $1.30, beating analyst expectations around $1.26.Gross margin: mid\u201170% range, with management guiding to around 75% for Q4.<\/p>\n For Q4 FY26, Nvidia guided to:<\/p>\n Revenue of about $65 billion (\u00b12%), well ahead of prior Street estimates near $62 billion. [8]<\/a><\/p>\n On the earnings call and in follow\u2011up coverage, CFO Colette Kress and CEO Jensen Huang repeated a headline figure that has become central to the bull case:<\/p>\n Nvidia sees \u201chalf a trillion\u201d (around $500 billion) in AI chip orders across 2025\u20132026 for its Blackwell and Rubin architectures. [9]<\/a><\/p>\n The data center story is simple but extreme: hyperscalers, AI labs and sovereign AI projects are still throwing staggering capital at Nvidia\u2019s GPUs and networking gear. The company\u2019s own guidance effectively says: this party is not over yet.<\/p>\n So why did Nvidia stock tank in November?<\/p>\n When a company prints $57 billion in quarterly revenue and still sells off, you know the market\u2019s mood is\u2026 complicated.<\/p>\n A few overlapping themes hit NVDA this month:<\/p>\n \u201cAI bubble\u201d worries. Put bluntly: the fundamentals screamed \u201chyper\u2011growth,\u201d while the price started to scream \u201cgravity exists.\u201d<\/p>\n Google\u2019s TPUs and the Meta question: Nvidia\u2019s moat gets tested<\/p>\n If you want a single headline that spooked Nvidia investors this month, it\u2019s this: Meta is reportedly preparing to spend billions of dollars on Google\u2019s AI chips instead of just Nvidia\u2019s.<\/p>\n A report from The Information (summarized by Reuters and others) said: [13]<\/a><\/p>\n Meta Platforms is in talks to spend billions on Google\u2019s tensor processing units (TPUs) starting in 2027, and may rent TPUs through Google Cloud as early as 2026.The potential deal could shift up to 10% of Nvidia\u2019s annual revenue toward Google over time.The news sent Nvidia shares down about 3\u20134% on the day, while Alphabet and Broadcom (which helps Google manufacture its AI chips) rallied.<\/p>\n At the same time:<\/p>\n Barron\u2019s and other outlets highlighted how Google\u2019s latest TPUs, coupled with its Gemini AI models, are finally being seen as a serious rival to Nvidia\u2019s GPUs in some workloads. [14]<\/a>Commentators noted that TPUs can be more efficient for certain inference and search\u2011like tasks, while Nvidia still leans on its CUDA software ecosystem and general\u2011purpose flexibility.<\/p>\n The takeaway isn\u2019t \u201cGoogle killed Nvidia.\u201d It\u2019s subtler:<\/p>\n Nvidia\u2019s \u201conly game in town\u201d aura is cracking, at least in the market narrative.Big cloud players want leverage. Even if they remain huge Nvidia customers, striking deals with Google or building in\u2011house chips gives them bargaining power.<\/p>\n The stock reaction makes sense: when one of your biggest customers is rumored to be shifting even a slice of spend to a rival, the market doesn\u2019t wait to see the fine print.<\/p>\n The \u201cWe\u2019re Not Enron\u201d memo and accounting jitters<\/p>\n Just in case \u201cAI bubble\u201d and \u201cGoogle\u2019s back\u201d weren\u2019t enough drama, late November delivered one of the stranger optics moments in mega\u2011cap history:<\/p>\n Nvidia sent a seven\u2011page private memo to Wall Street analysts titled, in effect, \u201cWe\u2019re not Enron.\u201d<\/p>\n According to detailed reporting from Technobezz and other outlets, the memo was prompted by: [15]<\/a><\/p>\n A viral Substack post that speculated Nvidia might be cooking its books.Social\u2011media chatter and posts referencing Michael Burry\u2019s critique of Nvidia\u2019s stock\u2011based compensation and buybacks.<\/p>\n The Technobezz article (dated November 30, 2025) lays out the key points:<\/p>\n The memo explicitly argues that Nvidia\u2019s business is economically sound, with complete and transparent reporting, and that its customers generally pay within about 53 days, far from the extreme payment terms associated with Enron\u2011style schemes.It acknowledges investor concerns around accounts receivable, which have reportedly swelled to about $33.4 billion, and the idea of \u201ccircular financing\u201d \u2014 customers borrowing against Nvidia hardware to buy more Nvidia hardware. [16]<\/a>The article stresses that while these optics invite comparison to past accounting blow\u2011ups, Nvidia\u2019s underlying demand \u2014 from cloud giants, AI labs, and government \u201csovereign AI\u201d projects \u2014 appears very real and verifiable.<\/p>\n In other words:<\/p>\n No credible outlet has presented hard evidence of fraud.The memo is less a confession and more a sign of how paranoid the market has become around anything that looks like \u201ctoo much growth.\u201d<\/p>\n But the episode does highlight legitimate risk factors:<\/p>\n Huge receivables tied to a small set of leveraged customers.Aggressive capex cycles that may depend on cheap financing and bullish AI narratives.And sheer market concentration: Nvidia is now such a large piece of major indexes that any stumble could ripple across portfolios worldwide. [17]<\/a>Wall Street still loves Nvidia: price targets and ratings<\/p>\n Despite the pullback and the memes, analyst sentiment is still overwhelmingly positive.<\/p>\n A recent breakdown of 63 analyst ratings, cited by Nasdaq\/Motley Fool, shows: [18]<\/a><\/p>\n 10 rate NVDA a \u201cstrong buy\u201d.48 rate it a \u201cbuy\u201d.Only 5 are in the hold\/sell camp.<\/p>\n The average 12\u2011month price target is nearly $250 per share, versus a current price around $177 \u2014 implying roughly 40% upside if the consensus is right.<\/p>\n Other notable calls:<\/p>\n A recent note from Bernstein slapped a $272 price target on Nvidia, calling it a \u201cStrong Buy\u201d and implying about 50% upside after the November pullback. [19]<\/a>Some valuation models (like GuruFocus and others) peg a \u201cfair value\u201d in the mid\u2011$230s based on projected cash flows and growth. [20]<\/a><\/p>\n Even more interesting: Nvidia\u2019s forward P\/E around 24x isn\u2019t dramatically higher than other big tech names like Apple and Microsoft, despite far faster expected revenue growth. [21]<\/a><\/p>\n So the Street\u2019s stance, boiled down, is something like: \u201cYes, it\u2019s gigantic. No, we still don\u2019t think it\u2019s overpriced if the AI thesis holds.\u201d<\/p>\n Big \u201cif,\u201d of course.<\/p>\n Forecasts, models and the reality check of November 30<\/p>\n One of the more meta storylines this month: AI trying to predict Nvidia, the AI king.<\/p>\n A widely shared Finbold piece asked an AI model to forecast Nvidia\u2019s price for today, November 30, 2025. The model (ChatGPT in that article) projected: [22]<\/a><\/p>\n A target around $214 by the end of November.A trading range of roughly $206\u2013$222 supported by \u201cstrong institutional accumulation\u201d and demand for Blackwell GPUs.<\/p>\n Reality check:<\/p>\n NVDA is currently closer to $177, not $214. [23]<\/a><\/p>\n Meanwhile, quantitative forecast sites like CoinCodex have short\u2011term models that see NVDA drifting modestly higher into early December, with targets in the high\u2011$170s and low\u2011$180s \u2014 far less dramatic than the earlier \u201c> $200 by month\u2011end\u201d projections. [24]<\/a><\/p>\n Moral of the story: price\u2011target models (human or machine) are guesses, not guarantees. Nvidia\u2019s November proves how quickly sentiment can overpower spreadsheets.<\/p>\n The ultra\u2011bull case: could Nvidia really hit a $20 trillion market cap?<\/p>\n On the other end of the spectrum from AI models missing a one\u2011month target, you have long\u2011horizon bull theses that sound absurd\u2026 until Nvidia\u2019s recent history makes them at least debatable.<\/p>\n In a detailed piece originally from I\/O Fund and republished on Medium, tech analyst Beth Kindig lays out a scenario where Nvidia reaches a $20 trillion market cap by 2030. [25]<\/a><\/p>\n Key assumptions in that thesis:<\/p>\n Nvidia\u2019s data center segment grows at roughly 36% compound annual growth through 2030.The data center business alone reaches a run\u2011rate in the mid\u2011$900 billion range, supported by AI accelerator demand and attached networking\/software revenue.Nvidia maintains something close to its historical valuation multiples (around 25x forward sales at the high end) thanks to a moat built on:A one\u2011year GPU product cadence (Blackwell \u2192 Rubin \u2192 Feynman).The entrenched CUDA software ecosystem.Its evolution into a full\u2011stack AI systems company, not \u201cjust a chip maker.\u201d<\/p>\n The same analysis cites:<\/p>\n Management\u2019s \u201c$500 billion\u201d visibility into Blackwell and Rubin sales through 2026.Rapidly rising AI capex forecasts, with big\u2011tech AI spending potentially heading well north of $400 billion per year and overall AI infrastructure investment running into the trillions by 2030. [26]<\/a><\/p>\n Is $20 trillion guaranteed? Absolutely not. But it\u2019s a useful reminder that:<\/p>\n A stock that once seemed pricey at a $110 billion valuation has, in a few short years, made multi\u2011trillion scenarios look\u2026 less impossible.Key risks Nvidia investors should still care about<\/p>\n Strip away the noise and memes, and several real risk vectors remain front\u2011and\u2011center after November 2025:<\/p>\n Competition from Google, AMD and custom siliconGoogle\u2019s TPUs are finally escaping \u201cin\u2011house curiosity\u201d status, with Meta, Oracle and others reportedly considering or adopting them. [27]<\/a>AMD continues to push its MI\u2011series accelerators, and multiple Chinese startups are racing to build A100\u2011class hardware as US export controls bite. [28]<\/a>Customer and market concentrationFour major customers accounting for over 60% of revenue is fantastic when everyone is buying, but brutal if any of them cut orders or diversify away. [29]<\/a>Regulatory and geopolitical riskUS export restrictions on advanced AI chips to China have already forced Nvidia to walk away from sizable orders and to explicitly assume zero data\u2011center compute revenue from China in Q4 guidance. [30]<\/a>Political pressure to keep cutting\u2011edge GPUs out of rival nations remains high and could tighten further.Accounting and financing concerns (even if fraud is unlikely)A rapidly growing accounts\u2011receivable balance and the possibility of customers financing purchases with Nvidia\u2011backed collateral raise questions about how sustainable the capex boom is if credit conditions change. [31]<\/a>Macro and AI\u2011ROI riskMultiple analyses note that many enterprises have yet to see clear returns on big AI projects, even as spending soars. If CFOs decide the payoff isn\u2019t materializing, AI capex growth could slow sharply. [32]<\/a><\/p>\n In short: Nvidia\u2019s near\u2011term fundamentals are spectacular, but they\u2019re riding on a macro\u2011level AI bet that could be more cyclical than the current narrative admits.<\/p>\n Bottom line: Nvidia on November 30, 2025<\/p>\n As of November 30, 2025, Nvidia stock sits in an unusual place:<\/p>\n Fundamentals: record revenue, towering data\u2011center growth, and a half\u2011trillion\u2011dollar AI order book.Stock price: roughly $177, up big for the year but well off recent highs, after a choppy November. [33]<\/a>Narrative: caught between \u201cAI bubble\u201d skepticism, serious emerging competition from Google\u2019s TPUs, and ultra\u2011bullish forecasts that imagine a $20 trillion Nvidia dominating AI infrastructure for a decade.<\/p>\n For investors, that means:<\/p>\n Nvidia remains the central bellwether for the AI trade.Volatility is not a bug; it\u2019s a feature of being at the center of a technological gold rush.Any NVDA decision \u2014 buy, hold, trim, avoid \u2014 is ultimately a bet on how fast AI spending grows, how durable Nvidia\u2019s moat really is, and how long the company can keep out\u2011executing both rivals and expectations.References<\/p>\n 1. www.wallstreetzen.com<\/a>, 2. companiesmarketcap.com<\/a>, 3. www.nasdaq.com<\/a>, 4. www.reuters.com<\/a>, 5. www.technobezz.com<\/a>, 6. www.reuters.com<\/a>, 7. nvidianews.nvidia.com<\/a>, 8. nvidianews.nvidia.com<\/a>, 9. www.businessinsider.com<\/a>, 10. www.reuters.com<\/a>, 11. www.reuters.com<\/a>, 12. www.reuters.com<\/a>, 13. www.reuters.com<\/a>, 14. www.barrons.com<\/a>, 15. www.technobezz.com<\/a>, 16. www.technobezz.com<\/a>, 17. www.technobezz.com<\/a>, 18. www.nasdaq.com<\/a>, 19. coincentral.com<\/a>, 20. www.gurufocus.com<\/a>, 21. www.nasdaq.com<\/a>, 22. finbold.com<\/a>, 23. www.wallstreetzen.com<\/a>, 24. coincodex.com<\/a>, 25. beth-kindig.medium.com<\/a>, 26. beth-kindig.medium.com<\/a>, 27. www.reuters.com<\/a>, 28. www.tomshardware.com<\/a>, 29. www.reuters.com<\/a>, 30. www.businessinsider.com<\/a>, 31. www.technobezz.com<\/a>, 32. www.technobezz.com<\/a>, 33. www.wallstreetzen.com<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Nvidia Corporation (NASDAQ: NVDA) enters the final days of November 2025 looking like both the hero and the…\n","protected":false},"author":2,"featured_media":317981,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[62,276,277,49,48,2512,6494,121,61],"class_list":["post-317980","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-ca","tag-canada","tag-investment","tag-nvidia","tag-stock-market","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/317980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/comments?post=317980"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/posts\/317980\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media\/317981"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/media?parent=317980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/categories?post=317980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ca\/wp-json\/wp\/v2\/tags?post=317980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
Nvidia had become the poster child for the entire AI trade. When broader investors began questioning whether AI capex is running \u201cahead of ROI,\u201d Nvidia\u2019s shares took the brunt of that anxiety. Reuters noted that despite the blow\u2011out quarter and upbeat guidance, investors were nervous about an \u201cAI bubble,\u201d and Nvidia\u2019s Q4 outlook was being treated as a reality check on whether AI spending is justified. [10]<\/a>Concentration risk.
About 61% of Nvidia\u2019s revenue now comes from just four major customers, according to Reuters, highlighting how dependent the company is on hyperscalers and a few mega\u2011buyers. [11]<\/a>Valuation vertigo.
Nvidia briefly crossed $5 trillion in market cap in late October \u2014 larger than most national stock markets. [12]<\/a>
Even bullish commentators concede that when a chip maker trades at multi\u2011trillion valuations with triple\u2011digit percentage gains over a few years, any hint of slowing or competition sparks outsized reactions.<\/p>\n