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Nvidia Q4 Revenue Target Set at $65 Billion

Thomas by Thomas
February 16, 2026
in Tech
0
Nvidia Q4 Revenue Target Set at $65 Billion

In mid-February 2026, the global financial eye is fixed on Nvidia (NASDAQ: NVDA) as it prepares to report its fiscal Q4 2026 results on February 25. Following a record-breaking $57 billion Q3, the company has set a bold revenue target of $65 billion, fueled by the massive production ramp of its Blackwell architecture.

With Big Tech’s combined capital expenditure for 2026 projected to hit a staggering $650 billion to $700 billion, Nvidia remains the primary beneficiary of the “largest infrastructure buildout in human history.”

The Blackwell Era: Driving the $65B Milestone

Nvidia’s Q4 guidance reflects a 14% sequential growth rate, primarily driven by the full-scale deployment of its next-generation AI chips.

  • Blackwell Demand: CEO Jensen Huang has described Blackwell demand as “sky high” and “off the charts.” The GB300 platform is currently sold out through mid-2026, with major orders from Amazon, Google, Meta, and Microsoft.

  • The Rubin Transition: While Blackwell is the current engine, the company has already provided visibility into the Rubin platform, which is expected to ramp in the second half of 2026.

  • Data Center Dominance: The Data Center unit is expected to account for roughly $58.7 billion of the $65 billion total, marking a 65% year-over-year increase.

Market Sentiment: The “Perfect Report” Requirement

Despite the optimism, the stakes are exceptionally high for the late-February announcement.

  • Valuation Pressure: NVDA is trading at a forward P/E of approximately 25.3x. While lower than its 2022 peak, anything less than a “beat and raise” could trigger a sharp valuation compression across the semiconductor sector.

  • The Overheating Debate: Some analysts warn that a “miss” in guidance would validate fears of an AI CapEx bubble, potentially leading to a broader correction for the Nasdaq-100.

  • Competitive Headwinds: While Nvidia maintains a 90% market share in AI training, competition is intensifying from AMD’s MI300 series and custom silicon like Google’s TPUs and Amazon’s Trainium.

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