Global attention fixated on NVIDIA today as the corporation unveiled its third quarter financial results. The company reported a stunning beat, resulting in a positive reaction on Wall Street after hours trading. Blackwell chips sales are "off the charts" Jensen Huang said as earnings report showed major outperformance of analysts expectations. He added that "cloud GPUs are sold out".
NVIDIA just shattered records again. $NVDA reports Q3 Revenue of $57.0 Billion, up 62% year-over-year. • GAAP EPS: $1.30 (+67% YoY) • Net Income: $31.9B The AI boom isn't slowing down—it's accelerating. 🚀📈 https://t.co/tskrzW9jNg#NVIDIA $nvda
— Israel Hayom English (@IsraelHayomEng) November 19, 2025
NVIDIA (NASDAQ: NVDA) continued its dominance of the artificial intelligence sector, reporting record-breaking revenue for the third quarter that significantly outperformed Wall Street projections.
The chip giant posted revenue of $57.0 billion, marking a staggering 62% increase compared to the same period last year and comfortably beating the analyst consensus of $55.09 billion.
NVIDIA achieved a gross margin of 73.4% and an operating income of $36.0 billion, translating to an exceptional operating margin of 63.2%. The company's profitability was equally striking, with operating income reaching $36.0 billion, demonstrating exceptional operational efficiency even as it scales. Net income followed suit, jumping 65% year-over-year to nearly $31.9 billion (or $1.30 per share). Looking forward, the company signaled that the AI boom is far from over, issuing guidance for fourth-quarter revenue of approximately $65 billion and noting that demand for its next-generation Blackwell chips is already "off the charts."
"During the first nine months of fiscal 2026, NVIDIA returned $37.0 billion to shareholders in the form of shares repurchased and cash dividends. As of the end of the third quarter, the company had $62.2 billion remaining under its share repurchase authorization," the company said in a statement.
Smashing the projections
NVIDIA didn't just meet expectations; it surpassed them by nearly $2 billion on the top line.
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Revenue Beat: Actual revenue of $57.0 billion vs. Consensus of $55.09 billion (a beat of $1.91 billion).
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EPS Beat: Non-GAAP earnings per diluted share came in at $1.30, beating the consensus estimate of $1.26.
The primary engine for this outperformance was the data center segment, which generated a record $51.2 billion in revenue alone: up 66% from a year ago. This single segment now accounts for the vast majority of the company's total intake.
Guidance blows past estimates
Perhaps more impressive than the current results is NVIDIA's outlook for the future. The company provided fourth-quarter revenue guidance of $65.0 billion (plus or minus 2%).
This forecast stands well above the consensus estimate of $61.84 billion, suggesting a difference of over $3 billion between NVIDIA's internal visibility and Wall Street's models. The company also forecasted strong non-GAAP gross margins of roughly 75.0% for the upcoming quarter.
NVIDIA Q3 Fiscal 2026: Actual vs. Consensus
| Metric | NVIDIA Actual / Guidance | Analyst Consensus | Difference (Beat) |
| Q3 Revenue | $57.00 Billion | $55.09 Billion | +$1.91 Billion |
| Q3 Adjusted EPS | $1.30 | $1.26 | +$0.04 |
| Q4 Revenue Outlook | $65.00 Billion | $61.84 Billion | +$3.16 Billion |
Note: Q4 Revenue Outlook represents the midpoint of the provided guidance range (+/- 2%).
"Insatiable" Demand for AI
The driving force behind the surge remains the company's next-generation hardware. In the press release, NVIDIA founder and CEO Jensen Huang emphasized that demand is outstripping supply.
"Blackwell sales are off the charts, and cloud GPUs are sold out," Huang stated. "Compute demand keeps accelerating and compounding across training and inference, each growing exponentially."
Huang described the current market environment as a "virtuous cycle of AI," noting that the ecosystem is scaling rapidly across various industries and countries. "AI is going everywhere, doing everything, all at once," he added.
BREAKING: Nvidia $NVDA earnings
EPS $1.3 vs $1.26 expected
Revenue $57 Billion vs $55 billion expectedWe are breaking it down LIVE at https://t.co/b1CM1ZxP19 pic.twitter.com/qTZEcDXqSy
— unusual_whales (@unusual_whales) November 19, 2025
The corporation published its third-quarter numbers and future outlook on the investor relations segment of its web portal at 4:20 p.m. ET, about half an hour after Wall Street trading concluded. A subsequent discussion with management began at around 5 p.m. ET via the same platform, arriving as anxiety regarding the immense capital expenditures on artificial intelligence by Silicon Valley giants increases. The stunning beat appeared to soothe the concerns of circular funding between the major AI players, with after hours trading showing green candles for the 5-trillion company.
Before the smashing earnings report, observers questioned if CEO Jensen Huang would validate the AI revolution's ongoing surge or perhaps warn us that demand for the GPUs (its processing units that allowed fast computations with AI capacities) had plateaued, less than a decade after his company made perhaps the most important decision in its history: buying a small Israeli company named Mellanox, from Yoqne'am.
Gaining essential Ethernet and InfiniBand tools for high-performance AI centers made the 2019 Mellanox deal a pivotal moment. That acquisition rendered the Jewish state and the tech giant "inextricably linked", establishing Israel as the company's second-biggest R&D hub outside America.
Nvidia controls roughly 80% of global AI GPU spending in 2025. Its data center unit generated $41.1 billion in Q2. Reports provide insights into AI adoption and cloud spending. CEO Jensen Huang projects $3-4 trillion in infrastructure spending by 2030. Financial Times noted that the company's performance is a barometer for the sector.
STREET EXPECTATIONS
The report was a a beat across the board, and a record, just weeks after the company has recently reached a record market cap of 5 trillion dollars, the first company ever to do so.
Transitioning from a graphics processor manufacturer to an AI infrastructure titan marks the firm's successful metamorphosis, driven by the stagnation of traditional silicon progress known as Moore's Law.
NVIDIA just shattered records again. $NVDA reports Q3 Revenue of $57.0 Billion, up 62% year-over-year. • GAAP EPS: $1.30 (+67% YoY) • Net Income: $31.9B The AI boom isn't slowing down—it's accelerating. 🚀📈 https://t.co/tskrzW9jNg#NVIDIA $nvda
— Israel Hayom English (@IsraelHayomEng) November 19, 2025
Recent performance history shows the equity has consistently surpassed Wall Street predictions in its previous three financial summaries, bolstering shareholder belief in operational fulfillment amidst unprecedented requests for AI frameworks. Yet, the last profit victory, the August earnings report for Q2, failed to calm fears regarding a deceleration after data center revenues of $41.1 billion missed projections marginally, causing a sell-off, even though the revenue fell short only because China was denied access to its chips because of newly imposed US restrictions. The stock subsequently recovered losses to hit fresh peaks.
Addressing the limitations of current technology at a global Saudi-American innovation summit on Wednesday morning, Huang argued that "Moore's law has run its course" and that meeting the world's "demand for computing versus the amount of computation we can get out of general-purpose computing is really challenging." He cited a dramatic shift in hardware infrastructure to illustrate this, noting that while CPUs powered 90% of the world's top supercomputers just six years ago, that figure has plummeted to "less than 15%" today. "You're seeing that inflection point," Huang stated, describing a massive "transition in high-performance computing from general-purpose computing to accelerated computing" that the industry has been pushing toward for "over 20 years."
Regarding fears of an overinflated market, Huang emphasized that "several hundred billion dollars of computation is done on just raw data processing" that traditionally "had nothing to do with AI." He explained that as these existing workloads and recommender systems, which he called "the engine of the internet today",transition to GPUs, they naturally pave the way for new technologies like "agentic AI." When you "take that into consideration," Huang concluded, it becomes clear that the investment required to "fuel that revolutionary agentic AI is not only substantially less than you thought, and all of it justified."
