Top 100 Semiconductor Companies by Revenue, 2026

What stands out in the 2026 semiconductor revenue picture

The upper end of the list shows how broad the semiconductor economy has become. NVIDIA’s AI accelerator growth puts a fabless company near the highest-revenue group even though it does not own leading-edge fabs. TSMC remains central because the global fabless model depends on foundry capacity. Samsung and SK Hynix show the scale of the memory cycle, while Broadcom benefits from networking, custom silicon and infrastructure chips.

Equipment companies such as ASML, Applied Materials, Lam Research, KLA and Tokyo Electron are not chip sellers in the same way as NVIDIA or Qualcomm, but they are included because their revenue is directly tied to semiconductor manufacturing. Without lithography, deposition, etch, inspection, test and metrology suppliers, the modern chip supply chain cannot scale.

Regionally, the United States is strongest in fabless design, Taiwan is central to foundry and packaging capacity, South Korea is central to memory, Japan and Europe are strong in equipment and materials, and China is increasingly visible in mature-node foundry, equipment, sensors and domestic chip design.

Short table: leading 20 by revenue

Methodology

The main metric is annual revenue in U.S. dollars, rounded to two decimal places in billions. The table uses a 2026 snapshot: the latest trailing-twelve-month or latest full-year revenue available from public-company financial data and company reporting. Because semiconductor companies have different fiscal calendars, the table is not a single calendar-year income statement for every company.

This page uses a broad semiconductor-company definition: chip designers, foundries, integrated device manufacturers, memory producers, packaging and test companies, equipment suppliers, semiconductor materials suppliers and EDA/IP businesses can all appear when their business is structurally tied to chip production or design. This is why ASML, Applied Materials, Lam Research, KLA, Tokyo Electron, Synopsys and Arm are included even though they do not sell chips in the same way as NVIDIA, Qualcomm or MediaTek.

• Company-level vs segment revenue: where a company is a pure-play semiconductor business, company revenue is a reasonable proxy. Where a company is a conglomerate, consolidated revenue can overstate semiconductor-only sales. Samsung is the most important example.
• Currency conversion: values are displayed in USD. Non-U.S. company revenue is converted in the source datasets or through reported USD-equivalent figures.
• Rounding: values are rounded to billions for readability. Small differences may change the order when companies are close together.
• Market coverage: private companies and subsidiaries with limited disclosure may be missing even when they are important in the supply chain.
• What the table is not: it is not a ranking of profit, market value, stock performance, wafer capacity, node leadership or national technology independence.

A company can appear high in the table because of scale, memory pricing, foundry utilization, AI accelerator demand, custom silicon, semiconductor equipment cycles or broad electronics exposure. Revenue becomes more useful when it is read together with margins, capex, product mix and customer concentration.

Main revenue table: 100 semiconductor-category public companies

The default view shows the leading 20 when JavaScript is available, while all 100 rows are embedded directly in the HTML. Search, filters and sorting only reorganize existing rows.

Figures use the latest available public-company TTM or annual revenue for semiconductor-category companies, rounded to billions of U.S. dollars. The share toggle uses the listed-company total calculated from the embedded rows. The snapshot reflects public market and company-reporting data available in April 2026.

Insights from the revenue table

The upper tier is defined by scale and strategic bottlenecks. Samsung, NVIDIA and TSMC represent three different forms of scale: conglomerate memory and device revenue, fabless AI platform leadership, and advanced foundry capacity. SK Hynix and Micron show how memory can rapidly move up the table when HBM and DRAM prices rise.

The middle of the table is more industrial. Analog, automotive, embedded, RF, packaging and equipment suppliers may not dominate headlines, but they are essential for vehicles, factories, power systems, data centers and defense electronics. Companies such as Texas Instruments, Infineon, NXP, STMicroelectronics, Analog Devices, Renesas and ON Semiconductor reflect demand outside the pure AI server cycle.

The lower half of the list shows the specialist layer of the industry: photomasks, wafers, probe cards, ion implantation, deposition, ASIC design, image sensors and compound semiconductors. These businesses are smaller by revenue, but many are structurally important because a shortage in a narrow part of the supply chain can slow much larger chip programs.

Regional specialization is clear. The United States is strongest in design, EDA, analog and equipment. Taiwan anchors foundry, packaging and ASIC design. South Korea is central to memory. Japan remains deep in equipment, wafers and materials. Europe is prominent in lithography, power semiconductors, automotive chips and engineered substrates. China is expanding across foundry, equipment, sensors and domestic chip design, especially at mature nodes.

What this means for readers

For readers tracking AI, semiconductors are the physical layer of the digital economy. Revenue tables show which companies capture the most money from chip demand, but they do not automatically identify the most profitable, most innovative or most investable businesses.

The table is useful for understanding supply-chain concentration. A small group of companies accounts for a large share of AI accelerators, memory, leading-edge foundry capacity and critical production tools. That concentration affects data-center buildouts, national industrial policy, export controls, automotive supply resilience and the cost of advanced electronics.

The table works best as a comparison of industry structure, not as a forecast. High revenue can signal durable scale, but it can also reflect cyclical memory pricing, equipment order timing, or broad consolidated revenue outside a pure semiconductor segment.

Sources

1. SEC EDGAR company filingsOfficial filings for U.S.-listed companies such as NVIDIA, Intel, Qualcomm, Broadcom, AMD, Micron, Texas Instruments, Applied Materials, Lam Research and KLA. https://www.sec.gov/edgar/search/
2. TSMC investor relationsFoundry revenue context and annual reporting for TSMC. https://investor.tsmc.com/english/annual-reports
3. Samsung Electronics investor relationsSamsung consolidated revenue and semiconductor-segment reporting context. https://www.samsung.com/global/ir/reports-disclosures/annual-reports/
4. ASML annual reportsSemiconductor equipment revenue context and lithography supply-chain background. https://www.asml.com/en/investors/annual-report
5. Gartner — Worldwide semiconductor revenue, 2025 preliminary dataPure semiconductor vendor context for the leading companies, including AI, HBM and memory-cycle effects. https://www.gartner.com/en/newsroom/press-releases/2026-01-12-gartner-says-worldwide-semiconductor-revenue-grew-21-percent-in-2025
6. Semiconductor Industry Association — global semiconductor sales in 2025Market-size context, WSTS-based annual sales and 2026 industry outlook. https://www.semiconductors.org/global-annual-semiconductor-sales-increase-25-6-to-791-7-billion-in-2025/
7. CompaniesMarketCap — semiconductor companies by revenuePublic aggregator for broad TTM revenue comparison and table cross-checking. https://companiesmarketcap.com/semiconductors/largest-semiconductor-companies-by-revenue/