AMD Crosses $1 Trillion Market Cap as Shares Hit Record $613.31

Insider Monkey··US·Read original
4▲2 ▼0Impact / 5
Summary · why it matters

Advanced Micro Devices crossed the $1 trillion market-capitalization threshold for the first time, with shares rising 9.6% to a record $613.31 on September 21. Reuters attributed the rally to stronger investor confidence in AMD's expanding role in AI computing, including its move beyond individual chips toward complete AI systems, and noted the company slightly missed investor revenue expectations in its latest quarter, making the milestone more reflective of future AI growth than recent results. AMD shares have gained 185% in 2026, far outpacing the Nasdaq's 15.8% rise. In the second quarter of 2026, AMD's Data Center revenue reached $6.7 billion, up 107% year over year, while Data Center operating income rose to $2.1 billion from an operating loss of $155 million a year earlier, driven primarily by demand for EPYC processors and Instinct MI350 GPUs. The company disclosed multi-year agreements with OpenAI and Meta, with each intending to deploy up to 6 gigawatts of AMD data-center GPUs, initially using MI450 products, and generated $5.3 billion in operating cash flow during the first half of 2026, compared with $2.4 billion in the comparable period, while gross margin reached 54% in the second quarter, up from 40% a year earlier.

Impact on assets 2

Artificial Intelligence▲ · 1 stocks
Advanced Micro Devices Inc
AMD
▲ PositiveCapitalDemandrelevance

AMD crossed $1 trillion market cap with record shares, driven by investor confidence in its AI systems expansion despite a slight revenue miss.

Spatial Computing / AR/VR▲ · 1 stocks
Meta Platforms Inc.
META
▲ PositiveDemandrelevance

Meta intends to deploy up to 6 gigawatts of AMD data-center GPUs under a multi-year agreement, expanding its AI compute capacity.

Off-coverage companies 1

OpenAIPrivate▲ Positive
Demandrelevance

OpenAI intends to deploy up to 6 gigawatts of AMD data-center GPUs under a multi-year agreement, expanding its AI compute capacity.

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