Jefferies ups Nvidia price target 10%, cites 2028 CES roadmap

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Jefferies analyst Blayne Curtis raised Nvidia’s price target by 10% and reiterated a Buy rating, citing confidence in the company's CES roadmap extending through 2028. The firm highlighted a 65.2% year-over-year revenue surge to $187.1 billion over the past twelve months driven by accelerating AI chip demand.

1. Nvidia’s Recent Share Performance and Rubin Architecture

Over the past five months, Nvidia’s share performance has largely trended sideways while the broader market continued to set new all-time highs. Investors remain focused on the upcoming Vera Rubin chip architecture, which Nvidia positions as the next frontier in AI hardware. According to company statements, Vera Rubin is designed to reduce AI token processing costs by up to 90% and achieve equivalent performance using approximately 75% fewer GPUs compared with the current generation. This technology is slated to drive the next phase of data-center upgrades for enterprises scaling large language models and other AI workloads.

2. Path to a $6 Trillion Market Valuation in 2026

Analysts project that Nvidia could become the first company to reach a $6 trillion market valuation in 2026, building on its achievement as the first $4 trillion company in 2025. Key driver assumptions include a 62% year-over-year revenue increase to roughly $57 billion in the latest quarter and net income growth of 65% to approximately $31 billion. With a cash balance near $60 billion, Nvidia is positioned to sustain annual chip updates—most notably the Rubin launch later this year—as a catalyst for further earnings expansion. At a mid-20s price-to-sales ratio, meeting Wall Street’s $213 billion revenue forecast for fiscal 2026 implies a share gain of around 34%, which is considered within reach given current demand trends.

3. Early Production of Rubin Chips and Backlog Visibility

At its January trade event, Nvidia’s CEO announced that full-scale production of the Rubin architecture has commenced six months ahead of schedule, underscoring the company’s aggressive one-year chip release cadence. This acceleration reinforces Nvidia’s competitive lead in AI semiconductors and sets a high bar for rivals. Concurrently, Nvidia reported a backlog exceeding $500 billion in orders to be fulfilled over the next six quarters, reflecting sustained enterprise demand for its GPUs and related AI platform offerings.

Sources

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