Nvidia Q2 revenue doubles to $96B; analysts raise targets on strong outlook

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Reviewed by
Riya DScanX News Team
Key Highlights
  • Nvidia Q2 revenue doubled to $96 billion, beating expectations
  • Fiscal 2028 revenue growth guided at ~70%, exceeding 45% consensus
  • Gross margins expected to contract to 71%-72% due to memory costs
  • Analysts raised price targets up to $400 citing durable AI demand
  • Heavy ETF weighting may amplify stock volatility on fund flows
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Nvidia Corporation (NASDAQ: NVDA) reported $96 billion in revenue for the second quarter, more than doubling the year-earlier figure. President Donald Trump praised the results as "incredible numbers," adding that such success happens "only in America." The stock rose 8.69% to $227.81 on Thursday. However, shares slid 0.50% in Friday’s premarket session as risk appetite cooled for mega-cap tech. Nasdaq futures fell 0.23% while S&P 500 futures shed 0.01%.

CEO Jensen Huang added that he is "100% confident" frontier AI labs will remain Nvidia customers despite their push for custom chips. The Santa Clara-based chipmaker faces a new constraint in its AI infrastructure buildout. While demand remains overwhelming supply, rising input costs are beginning to erode profitability. CFO Colette Kress stated that memory price increases have exceeded prior expectations and are projected to rise further into next year.

Margin Pressure from Memory Inflation

Nvidia’s gross margins, which stood at 75% in the second quarter, are expected to decline sequentially. The company forecasts margins of 74% in the third quarter before falling to the 71%–72% range in the fourth quarter. DA Davidson analyst Gil Luria estimated the key financial indicator will fall to 71.5% in the fourth quarter before leveling out at 72.5% in fiscal 2028.

This deterioration marks the first significant margin contraction of the current AI cycle. The pressure stems from high-bandwidth memory (HBM), a critical component for Nvidia’s accelerators. Suppliers including Micron Technology Inc. (NASDAQ: MU), SK Hynix Inc. (NASDAQ: SKHY), and Samsung Electronics are benefiting from this scarcity, which Nvidia attributes largely to the AI buildout itself.

Kress described the situation as "extreme pricing conditions in memory," noting that the magnitude of the price increase has exceeded prior expectations. This creates a unique dynamic where the same demand surge driving Nvidia's revenue growth is inflating the cost of its key components. Memory has become the fastest-inflating line item in the bill of materials for an AI server, meaning some of the scarcity working in Nvidia's favor for demand is now working against it on costs.

Fiscal 2028 Outlook and Pricing Strategy

Looking ahead, Nvidia expects fiscal 2028 revenue to grow approximately 70%. This growth is constrained by supply limits, as CEO Jensen Huang noted that unconstrained demand would be significantly higher, growing about 100% next year.

To offset rising memory costs, Nvidia plans to raise prices. However, these increases will not take effect until fiscal 2028. Consequently, margins will absorb the cost shock in the near term before recovering as higher prices are passed on to customers. This timing gap means investors must accept lower profitability while growth accelerates, with margins expected to recover only after the new pricing takes hold.

Analyst Reaction: Demand, Geopolitics, and Valuation

Yorkville Research managing director Dan Ives highlighted the company’s 2028 guidance of 70% year-over-year growth, stating the press release was so strong it deserved to be displayed in the Louvre art museum. Ives noted that the results put concerns about circular financing and guidance to rest, emphasizing that "the biggest thing is demand."

Ives estimates the current demand-to-supply ratio for chips is 12-to-1, adding fuel to the broader tech rally. He described the earnings as the "Super Bowl" for the sector due to their scale and importance.

Regarding geopolitical dynamics, Ives pointed out that Nvidia’s guidance assumed no data center compute revenue from China. "This is without China, that’s what’s unbelievable," he said. Ives reiterated that for the first time in 30 years, the US holds the lead over China in advanced AI chips, a talking point he has maintained since January.

Other analysts also revised their outlooks positively:

  • Wedbush analyst Matt Bryson raised the price target from $330 to $345, noting the guidance provides "a year of visibility." He highlighted that the FY28 revenue growth of ~70% was supply-bound.
  • Rosenblatt analyst Kevin Cassidy raised the price target from $325 to $390, calling the results a "second NVIDIA moment." Cassidy noted the guidance crushes the 45% consensus estimate.
  • KeyBanc analyst John Vinh maintained an Overweight rating with a price target of $330, highlighting the solid exceedance of expectations for the third quarter. Vinh told CNBC that the 70% fiscal 2028 revenue-growth outlook significantly exceeded Wall Street expectations of roughly 45%. He sees enough demand to support 100% growth but remains supply-constrained, expecting demand to stay durable through next year and into a significant portion of 2028. Vinh also views customer financing as supporting genuine AI demand rather than artificially creating chip purchases.
  • Bernstein analyst Stacy Rasgon raised his price forecast to $400 from $315. Rasgon pointed to a strong Rubin ramp with no apparent delays as concrete evidence of accelerating growth. He views Nvidia’s balance sheet as a competitive advantage, highlighting nearly $300 billion of direct supplier agreements covering memory, wafers and other components, giving Nvidia greater ability to secure capacity than rivals.
  • Goldman Sachs analyst Jim Schneider raised his price forecast to $300 from $285. Schneider said Nvidia’s 70% growth outlook could prove conservative, noting customer demand exceeds 100% while shortages of memory, data-center land, power, rack capacity and other components limit shipments. Goldman’s estimates already exceed Nvidia’s stated growth outlook. Schneider remains comfortable with Nvidia’s financing commitments, saying most support supply-chain partners that need visibility before expanding capacity. He expects Nvidia’s 72% to 73% gross-margin outlook to ease concerns over rising component costs and sees share repurchases becoming more meaningful over the next six months.
  • DA Davidson analyst Gil Luria reiterated a Buy rating with a price target of $300, stating the new guidance provides "more visibility than ever."
  • Benchmark analyst Cody Acree reiterated a Buy rating with a price target of $335, noting shares traded roughly 5% higher after hours due to the higher-than-expected FY28 revenue outlook.

Acree noted that the 70% revenue growth implies around $690 billion ahead of a Street consensus estimate of $573.5 billion. He stated that valuation remains conservative relative to the peer group.

ETF Exposure Implications

Because NVDA carries heavy weight in several major funds, any significant inflows or outflows for these ETFs will likely force automatic buying or selling of the stock:

  • Sapient Quality Select ETF (NASDAQ: SQS): 9.60% Weight
  • Franklin Focused Dynamic Growth ETF (NASDAQ: FFOG): 9.73% Weight
  • First Trust Innovation Leaders ETF (NYSE: ILDR): 9.79% Weight

Huang Addresses Custom Chip Competition

As leading AI developers race to build their own custom chips, Jensen Huang says he remains unfazed. Responding to questions about OpenAI, Anthropic and other frontier AI labs designing in-house silicon, Huang said he is "100% confident" they will remain Nvidia customers and partners "for a very long time."

Speaking during Nvidia’s earnings call, Huang argued that many custom AI processors are designed for narrow inference workloads, while Nvidia offers a broader platform spanning the entire AI lifecycle.

"We’re building something very different," Huang said. "These XPUs are inference specific chips for one cloud or one service. NVIDIA Corp is a platform, an entire AI factory platform that spans the entire AI life cycle."

He added that as AI services expand globally, they will continue to rely on Nvidia’s infrastructure beyond their own data centers. "I fully expect… they’re going to run on NVIDIA Corp all around the world," Huang said.

Huang also framed Nvidia’s investments in frontier AI companies as a long-term strategic opportunity rather than a competitive risk. "Investing in these companies are once in a generation opportunity," he said. "The only regret that I have is that I didn’t invest more and sooner."

Political Context and Tariff Uncertainty

President Donald Trump celebrated wins for the U.S. chip industry, citing Nvidia’s robust revenue guidance and Micron Technology Inc.’s new $10 billion research investment as proof that his policies are drawing in trillions in domestic investment. Trump called Micron one of the "hottest" companies in the world, noting its additional investment builds on a previous $250 billion commitment to U.S. manufacturing.

However, tariff uncertainty looms over the industry. The Trump administration is considering new semiconductor tariffs that could extend to laptops, gaming consoles, and data center servers. Tech companies have started lobbying against the proposal, warning it could raise costs and slow the AI data center buildout. Micron is currently the only U.S.-based manufacturer of high-bandwidth memory, a component the administration has framed as central to domestic AI supply chain security.

Trump’s earlier disclosure filed in May showed more than a dozen separate Nvidia transactions during the first quarter of 2026, including purchases and sales ranging from $1,001 to $1 million, along with several Micron purchases ranging from $1,001 to $250,000. In his most recent disclosure earlier this month, he sold between $15,001 and $50,000 of Nvidia stock on June 23, with no Micron transactions reported during that period.

What the Numbers Show

The divergence between revenue growth and margin guidance highlights a structural shift in the AI supply chain. While Nvidia continues to capture massive top-line growth, its ability to retain all associated profits is being challenged by component suppliers. The gap between the 75% Q2 margin and the 71%–72% Q4 guidance illustrates how input inflation can outpace pricing power in the short term, even for a market leader with overwhelming demand. Analysts view this margin sacrifice as a strategic move to strengthen customer economics and supply conversion, driving fiscal 2028 EPS materially higher despite the temporary pressure.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might the implementation of new semiconductor tariffs impact Nvidia's ability to pass rising memory costs onto customers in fiscal 2028?

What specific supply chain bottlenecks beyond HBM memory could prevent Nvidia from achieving its stated 100% unconstrained demand growth?

Will frontier AI labs' development of custom inference chips eventually erode Nvidia's dominance in the broader training and full-stack AI platform market?

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Nvidia Hugging Face deal yields 23,900% return for Kevin Durant

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Reviewed by
Shriram SScanX News Team
Key Highlights
  • Nvidia acquires Hugging Face for $12.9 billion, nearly triple its 2023 valuation
  • Kevin Durant sees 23,900% return on his $250,000 early investment
  • Estimated $60 million payout exceeds Durant's highest single-season NBA salary
  • Analysts cite strategic value in open-model deployment and Physical AI
  • Deal raises concerns about platform neutrality among developers
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Nvidia Corp (NASDAQ: NVDA) faces a strategic balancing act in its reported $12.9 billion acquisition of Hugging Face, while NBA star Kevin Durant stands to realize a massive return on his early investment.

Counterpoint Research analyst Neil Shah described the potential deal as a move toward broader horizontal integration. He noted that ownership would give Nvidia earlier visibility into emerging model architectures and agent frameworks, allowing the chipmaker to shape its compilers and runtimes to pull more workloads toward its silicon.

Strategic Integration and Physical AI

Shah emphasized that open models are a key motivation behind the bid. While closed AI labs increasingly develop proprietary chips, Nvidia serves a wider ecosystem. By controlling Hugging Face, Nvidia could accelerate open-model deployment on its hardware.

The analyst also pointed to growth in robotics and world models on the platform. Nvidia could leverage this distribution channel for its Physical AI technologies, including Nemotron and Alpamayo, strengthening its position in these fast-growing sectors.

Neutrality Risks

A critical challenge remains maintaining Hugging Face’s perceived neutrality. The platform hosts models from major AI labs, startups, and Nvidia’s hardware competitors. Shah warned that if developers view the platform as too closely tied to Nvidia or CUDA, its value could erode. The deal’s success depends on keeping the ecosystem open while encouraging workloads to run on Nvidia systems.

Financial Context

The $12.9 billion price tag represents a significant premium over Hugging Face’s annualized revenue of $150 million. This valuation is nearly three times the $4.5 billion assigned during the startup’s 2023 funding round, which included investments from Nvidia, Salesforce Inc (NYSE: CRM), and Alphabet Inc’s Google (NASDAQ: GOOGL).

Metric Value
Deal Value $12.9 billion
Hugging Face Annualized Revenue $150 million
Previous Valuation (2023) $4.5 billion

Nvidia shares were down 0.04% at $227.89 during premarket trading on Friday.

Kevin Durant’s Investment Returns

The acquisition has significant implications for high-profile early investors. NBA superstar Kevin Durant is positioned to net an estimated $60 million payout following reports of the deal, delivering a staggering 23,900% return on his venture investment.

Durant backed Hugging Face early, putting $100,000 into its seed round and another $150,000 into its Series A. The NBA star publicly signaled his backing as far back as 2017, tweeting that he was a "proud investor" in the platform.

Sports writer Joe Pompliano shared the estimate via social media and called Durant’s investment in Hugging Face one of the best athlete investments ever based on the staggering return.

Bigger Than Any Single-Season NBA Contract

Durant has played 18 seasons in the NBA and never made $60 million for his annual salary. The closest he came was last season, with $53.3 million, according to data from Spotrac.

This season, Durant is set to make $43.9 million, as part of a two-year $90 million deal with the Houston Rockets. Durant has career NBA earnings of $501.1 million.

Among the highest-paid NBA players, it is notable that Durant may receive a check for more than he has ever made in a full NBA season for his investment in Hugging Face.

Durant’s Investment Portfolio

The investment in Hugging Face is not the only investment win for Durant outside the NBA. Through his 35 Venture Fund and other investment vehicles, Durant and business partner Rich Kleiman have built a portfolio of investments across various sectors.

This includes past investments in some companies that already went public like Robinhood (NASDAQ: HOOD) and Coinbase (NASDAQ: COIN). Other investments by Durant include Acorns, Dapper Labs, Kalshi, Spindrift, Whoop and stakes in the Philadelphia Union MLS team and Paris Saint-Germain, a legendary French soccer club.

What the Numbers Show

The valuation jump from $4.5 billion in 2023 to $12.9 billion today underscores the market’s premium on open-source AI infrastructure control, despite modest current revenue generation. For early investors like Durant, who invested a total of $250,000, the exit value highlights the disproportionate returns possible in venture capital compared to traditional salary income, with the estimated payout exceeding his highest single-season NBA earnings.

Disclaimer: This article is AI-generated using data from ViewTrade. ScanX is not liable for any inaccuracies.

How might competitors like AMD and Intel adjust their software ecosystems to counter Nvidia's potential dominance over open-source model deployment via Hugging Face?

What specific governance structures or neutrality guarantees will Nvidia need to implement to prevent developer exodus from Hugging Face to rival platforms?

Could the acquisition accelerate the fragmentation of the AI open-source community, leading to a bifurcation between Nvidia-aligned and independent model repositories?

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