TradingKey - As of June 2026, the trillion-dollar club in the U.S. stock market underwent a dramatic reshuffle in June, with the number of global companies boasting a market capitalization of over $1 trillion growing to 16. Among them, the technology sector holds a prominent position, reflecting strong investor confidence in both the scalability and long-term growth potential of the AI industry.
NVIDIA ( NVDA) may have seen its valuation pull back to $4.7 trillion after hitting a peak market capitalization of $5.4 trillion, but by virtue of its absolute position as the core of the AI industry, the company remains the world's most valuable publicly listed company. It is followed by Alphabet ( GOOGL) with a market cap of $4.26 trillion, Apple ( AAPL) at $4.12 trillion, Microsoft ( MSFT) at $2.74 trillion, and Amazon ( AMZN) at $2.35 trillion, which together make up the list of the world's five largest publicly traded companies.
These are followed by TSMC ($2.35 trillion), SpaceX ($2.07 trillion), Broadcom ($1.76 trillion), Saudi Arabian Oil (Saudi Arabian Oil, $1.68 trillion), Tesla ($1.52 trillion), and Meta Platforms ($1.27 trillion). Unlike the May market capitalization rankings, SpaceX joined the world's top 10 list after going public, with its market value peaking at around $3 trillion, briefly surpassing the two giants, Amazon and Microsoft.
Technology companies remain the dominant force in market capitalization rankings, with nine of the top 10 companies by market value belonging to the tech sector. Artificial intelligence continues to be the core engine driving dual growth in both market value and financial performance across the tech industry.
At its annual shareholder meeting, Nvidia further established the long-term investment logic of the AI industry, introducing the industrial narrative of "AI factories" and the token economy, while making it clear that the AI infrastructure buildout cycle will span decades. Its next-generation Vera Rubin architecture has entered full mass production, delivering a significant boost in inference performance compared to the previous generation. Meanwhile, the company topped the global data center switch market for the first time, extending its ecological moat from standalone GPUs to full-stack AI infrastructure.
TSMC, the world's leading semiconductor foundry, remains a direct beneficiary of the surging demand for AI chips. In June, the company and Nvidia announced a deeper partnership to integrate AI technology throughout the entire wafer fabrication process, aiming to improve the efficiency of lithography simulation, defect detection, and yield control, thereby further strengthening its capacity competitiveness in advanced process nodes.
Apple remains renowned for its consumer-facing hardware products. At WWDC 2026 in June, the company officially unveiled its next-generation Apple Intelligence, which utilizes a hybrid privacy architecture combining on-device processing and private cloud compute to completely reconstruct Siri and enable cross-app intelligent actions, while integrating Google's Gemini model to bolster its frontier AI capabilities. On the silicon front, Apple has also adjusted its R&D roadmap, concentrating resources on its M7 series chips designed specifically for edge-AI performance to fully capitalize on growth opportunities in AI-enabled devices.
Broadcom, meanwhile, collaborated with OpenAI to launch a custom ASIC chip designed specifically for large language model inference. The chip significantly reduces inference costs compared to general-purpose GPUs, marking Broadcom's official entry into the custom AI silicon market.
Tech companies still occupy most of the positions ranked 11th to 16th on the trillion-level market capitalization list. However, their sector coverage is more granular and diversified, extending to technology sub-sectors such as social AI, memory chips, and integrated semiconductors. Meanwhile, leading companies in non-tech sectors like healthcare and diversified financials also firmly hold their ground in the trillion-level camp, reflecting a balanced allocation strategy of global capital between growth elasticity and defensive value.
In the memory stock sector, three leading players—Samsung Electronics, Micron Technology, and SK Hynix—have jointly joined the ranks of trillion-level market capitalization. The explosive demand for High Bandwidth Memory (HBM) from AI servers, coupled with an upward cycle in traditional DRAM and NAND flash memory prices, has become the core catalyst driving the market value growth of these three companies.
In the healthcare sector, Eli Lilly is the pharmaceutical leader within this market capitalization range, with the continuous sales volume growth of its diabetes and weight management drugs serving as the core anchor of its market value growth. Since June, clinical data for Eli Lilly's next-generation GLP-1 drugs has delivered further positive results, with long-term weight-loss efficacy and safety receiving key clinical validation. At the same time, with global market penetration continuing to rise, the company has raised its full-year revenue and earnings guidance.
Berkshire Hathaway is the only non-tech-driven trillion-level market capitalization company in this range, as well as a global benchmark for value investing. Latest operating and portfolio data disclosed in June show that the company's cash reserves remain at historic highs, and its holding structure continues to tilt toward defensive sectors such as energy and consumer staples, demonstrating exceptional risk resilience amid intensifying market volatility. As a diversified financial conglomerate with insurance and investment at its core, its cycle-spanning profitability and robust risk control serve as a prime testament to the long-term value of a mature business model.
Meta Platforms is also within this market capitalization range, continuing to reinforce its competitive moat by leveraging AI technology to reshape the efficiency of its advertising business and steadily executing its metaverse initiatives.
Overall, these trillion-level market capitalization companies from various sectors include both high-growth tech players riding the AI wave and resilient leaders deeply rooted in traditional industries, collectively demonstrating long-term investment value within a diversified global industrial landscape.
Although technology stocks remain the mainstay of the trillion-dollar market cap club, there has been a dramatic style rotation within the sector recently. The leading tech stocks, known to the market as the "Magnificent Seven," have wiped out over $2.3 trillion in combined market value this month; capital is flowing out of leading internet companies ramping up AI infrastructure and turning toward upstream chipmakers that benefit from their massive capital expenditures.
Asset | June High (USD) | June Low (USD) | June Change |
Nvidia | 232 | 189 | -6.36% |
378 | 330 | -6.74% | |
Amazon | 266 | 225 | -12.00% |
Apple | 317 | 273 | -7.93% |
Microsoft | 466 | 349 | -18.04% |
Tesla | 433 | 368 | -4.67% |
Meta | 641 | 540 | -12.44% |
Statistical data show that the MAG7 index fell by about 10% this month, recording its worst monthly performance in over a year. Market analysis suggests that the core reason for this correction is that investors have begun to re-evaluate whether massive AI investments can translate into sustained earnings growth.
In recent years, hyperscale cloud service providers, represented by Microsoft, Amazon, Meta, and Alphabet, have continuously increased their investment in AI infrastructure, but whether their capital expenditures can yield sufficient revenue returns is raising skepticism in the market.
On one hand, corporate costs for AI applications continue to rise, prompting some companies to limit internal use or adjust deployment strategies; on the other hand, companies such as Microsoft and Meta have warned that the rapid rise in memory chip prices is significantly driving up data center construction costs.
In contrast, upstream hardware and supply chain segments have benefited significantly. The Philadelphia Semiconductor Index has risen 93% year-to-date, poised to record its best annual performance since the dot-com bubble era of 1999. Driven by sustained AI demand, tight supply of chips and related equipment has fueled substantial earnings growth for related companies.
Overall, the US tech sector is undergoing a repricing process as it transitions from being valuation-driven to an earnings-verification stage. Performance within the "Magnificent Seven" and across the upstream and downstream supply chains is diverging clearly, and the market has entered a phase of structural realignment.