In a financial performance that dampened concerns of an “AI bubble,” NVIDIA reported a staggering $68.1 billion in revenue for its fourth quarter of fiscal 2026. The earnings report, originally released in late February, revealed a 73% year-over-year surge that easily cleared the $65 billion consensus forecast. This momentum has taken center stage this week at Nvidia GTC 2026, where CEO Jensen Huang signaled that the growth is only accelerating. Huang told attendees he anticipates a $1 trillion shift toward AI-driven data center infrastructure by 2027, positioning Nvidia to remain the primary architect of the “Agentic AI” revolution.
Nvidia Reports a Landmark Earnings Performance
On February 25, 2026, Nvidia reported a record-breaking financial result for its fourth quarter of fiscal 2026. The company achieved $68.1 billion in revenue, marking a 20% sequential increase and a 73% surge over the same period last year. This performance brought total revenue of $215.9 billion overall for fiscal 2026.
Profitability also exceeded analyst expectations. For the fourth quarter, GAAP earnings per diluted share stood at $1.76, while non-GAAP earnings were $1.62. For the full fiscal year 2026, GAAP and non-GAAP earnings per diluted share reached $4.90 and $4.77, respectively.
Data center revenue reached $62.3 billion, representing a 75% year-over-year increase driven by major platform shifts: accelerated computing and artificial intelligence. While most sectors saw growth, the company also highlighted its immense cash-generating power, returning $41.1 billion to shareholders in fiscal 2026 through share repurchases and dividends.
The Road to $1 Trillion
While the $68.1 billion revenue has set a new floor for Nvidia, the company’s vision for the future is even more ambitious. While addressing the crowd at the GTC 2026 keynote this week, Nvidia CEO Jensen Huang projected a cumulative revenue of $1 trillion through 2027. This forecast effectively doubles the $500 billion target he cited only a year ago, signaling that the AI infrastructure build-out is accelerating rather than slowing down. According to Huang, “the agentic AI inflection point has arrived,” suggesting a shift from generative AI to Agentic AI.
This growth will be driven by Nvidia’s Blackwell and recently launched Rubin architectures, solidifying the company’s role as the primary supplier of AI infrastructure. While Blackwell remains the most formidable chip in the industry today, the new Vera Rubin platform represents a massive generational leap. Huang highlighted that the Vera Rubin GPU delivers up to 10 times higher inference throughput per watt at one-tenth the cost per token compared to Blackwell. This efficiency is critical for hyperscalers like Microsoft and Meta, who are currently racing to build “AI Factories” capable of powering millions of high-end AI agents simultaneously.
Market Reacts to Agentic AI Prediction
While Nvidia’s stock (NVDA) showed a steady rise following Huang’s keynote, the most significant gains were seen in the decentralized AI sector. As Huang leaned into the “Agentic AI” narrative, AI-linked cryptocurrencies experienced a powerful rally, with investors treating these tokens as high-beta plays on Nvidia’s infrastructure.
Artificial Superintelligence Alliance (FET) saw more than 20% intraday surge, and NEAR Protocol (NEAR) climbed more than 10%. Other notable performers included Worldcoin (WLD) and Grass (GRASS), both of which saw double-digit increases.
As the “Agentic AI” era begins, the market is no longer just watching Nvidia’s earnings. Instead, investors are watching Nvidia set the pace for the next chapter of the AI revolution, a world where autonomous agents, not just chatbots, drive the global economy.
