Nvidia CEO Jensen Huang continues to defy expectations, once again delivering quarterly results that surpassed analyst forecasts and demonstrating the relentless demand for the company’s AI- powering silicon. In its fiscal 2027 second quarter, Nvidia reported revenue of $96.22 billion, a staggering 106% increase year-over-year, significantly exceeding the $92.165 billion consensus estimate. Adjusted earnings per share (EPS) also surged by 128% to $2.46, outpacing the LSEG consensus of $2.10.
While NVDA shares experienced a brief dip in after-hours trading following the announcement, they quickly reversed course and climbed over 4% once Chief Financial Officer Colette Kress clarified that any perceived shortfall in the results stemmed from capacity constraints, not a lack of demand. This dynamic reinforces the narrative that Nvidia’s stock, despite its impressive ascent, remains attractively valued on a forward earnings basis.
The key takeaway from Nvidia’s performance and guidance is the accelerating nature of demand. For the fourth consecutive quarter, the company has witnessed an acceleration in its topline growth. This suggests that Wall Street may be underestimating the sheer scale of the AI opportunity and the pace of its adoption. The market’s realization of this potential was palpable during the post-earnings conference call, where Kress projected fiscal 2028 revenue to increase by a remarkable 70% over the current fiscal year. This forecast far outstrips the 45% growth analysts had anticipated, marking the first time Nvidia has provided guidance a full year in advance, a clear testament to its confidence in future execution.
Jensen Huang elaborated on this ambitious outlook during the Q&A session, stating, “Even though our demand is much greater than 70%, our supply allows us to confidently deliver 70%. And we’re going to continue to work with our supply chain to increase on that.” This strategic approach highlights Nvidia’s disciplined management of its supply chain to meet overwhelming demand while setting ambitious yet attainable growth targets.
The company’s gross margin outlook, while slightly lower than anticipated, was attributed by Kress to the persistent rise in memory prices, a trend expected to continue into fiscal 2028. This presents a headwind for most tech companies, but it serves as a significant tailwind for memory manufacturers like Micron, whose stock saw a notable increase following Nvidia’s announcement. However, Nvidia’s substantial revenue upside is expected to more than offset the impact of these higher memory costs.
In a significant development, Nvidia also announced an expansion of its strategic partnership with Amazon Web Services (AWS). This expanded collaboration will see AWS deploy an additional 2 million Nvidia graphics processing units (GPUs) across fiscal years 2027 and 2028. Furthermore, AWS will integrate Nvidia’s Vera central processing units (CPUs) into both its larger Rubin systems and as standalone components. Kress further revealed that “Amazon will also adopt [Nvidia’s] full physical AI stack, Omniverse, Cosmos, Isaac, and Jetson to power its fleet of warehouse robots,” underscoring the comprehensive integration of Nvidia’s AI solutions across AWS’s vast infrastructure.
Nvidia’s GPUs are the indispensable engine driving the global AI revolution, powering the accelerated data centers that are rapidly being constructed worldwide. The company’s integrated platform, encompassing both hardware and software, is critical for the efficient execution of complex AI workloads. Key competitors in this rapidly evolving landscape include Advanced Micro Devices, Intel, and Broadcom, alongside the custom AI chip initiatives from tech giants like Alphabet’s Google and Amazon.
The company continues its commitment to shareholder returns, having distributed a record $26 billion to shareholders through buybacks and dividends during the quarter. While Nvidia has a stated policy of returning 50% of its free cash flow to investors, Kress indicated an intention to “increase and return excess free cash flow, net of strategic uses,” suggesting a potentially more aggressive capital return strategy moving forward. This aligns with calls from market observers for a more substantial stock repurchase program, reminiscent of strategies employed by other major tech firms.
Nvidia also provided a detailed update on its substantial financial commitments, totaling $366 billion, reflecting agreements, partnerships, and investments aimed at securing critical components and expanding its infrastructure. These commitments have grown significantly, with the procurement of memory being a primary driver. The company has made significant investments in data center infrastructure, including land, power, and shell construction, as well as financing for major data center projects, such as the one in Ohio where OpenAI is slated to be a tenant. The overall figure of approximately $530.5 billion in commitments, while substantial, is considered manageable given Nvidia’s projected free cash flow generation and the immense demand for AI.
From a segment perspective, the Data Center division remained the dominant force, generating $89.02 billion in revenue, a 117% year-over-year increase and an 18% sequential jump. Hyperscale sales, driven by public cloud providers and major internet companies, doubled to $48.7 billion. The AI Clouds, Industrial, & Enterprise (ACIE) segment contributed $40.3 billion, showcasing robust 138% year-over-year growth. The Edge Computing segment, encompassing a broader range of Nvidia’s legacy products, also saw healthy growth, with revenue totaling $7.2 billion, up 27% year-over-year.
Looking ahead to the current fiscal 2027 third quarter, Nvidia anticipates revenue between $108 billion, plus or minus 2%, exceeding the consensus estimate. However, adjusted gross margins are projected to be around 74%, with the company forecasting a dip to 71% to 72% in fiscal Q4 and a modest rebound to 72% to 73% in fiscal 2028, primarily due to continued memory price increases. Despite these margin pressures, Nvidia’s unwavering demand and strategic expansion position it for continued leadership in the transformative AI era.
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