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U.S.-listed market research with live data and structured thesis notes.

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Silicon Stack Data Center Fabric AI Software Power + Grid Robotics
NVDA Silicon, IP & Semicap

NVIDIA

AI compute platform

Detail page

NVIDIA remains the center of AI training and high-end inference demand.

Price $219.34
1D change +0.82%
Market cap $5.30T
Sector Technology
AMD Silicon, IP & Semicap

Advanced Micro Devices

GPU/CPU AI accelerator challenger

Detail page

Instinct GPUs give hyperscalers a second-source path for AI training and inference.

Price $545.09
1D change +1.65%
Market cap $889.85B
Sector Technology
ASML Silicon, IP & Semicap ADR

ASML Holding ADR

EUV lithography chokepoint

Detail page

ASML is the sole supplier of EUV lithography systems used for the most advanced logic and memory nodes.

Price $1.6K
1D change +0.67%
Market cap $625.96B
Sector Technology
TSM Silicon, IP & Semicap ADR

TSMC ADR

Advanced semiconductor manufacturing

Detail page

Most leading AI chips still depend on TSMC's manufacturing and advanced packaging.

Price $430.26
1D change +0.96%
Market cap $2.23T
Sector Technology

Shared metric table

Live market metrics plus reported quarterly revenue and profit QoQ rows.

Green and red only apply where direction is meaningful. Quarterly revenue and profit cells inherit the sign of the reported QoQ change, which can swing sharply when the prior quarter included a one-time item.

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Metric NVDA AMD ASML TSM
Price $219.34 $545.09 $1.6K $430.26
1D Change +0.82% +1.65% +0.67% +0.96%
Market Cap $5.30T $889.85B $625.96B $2.23T
Enterprise Value $5.26T $881.01B $34.77T $15.44T
Trailing P/E 27.0 131.7 54.7 31.1
Forward P/E 14.0 35.0 27.5 19.6
PEG Ratio 0.45x 0.52x 1.44x 0.79x
Price / Sales 17.5 21.5 17.7 0.5
EV / Revenue 17.4 21.3 984.2 3.5
Revenue Growth 105.9% 50.1% 21.3% 36.0%
Earnings Growth 127.8% 159.5% 28.5% 77.4%
Gross Margin 74.7% 55.7% 52.7% 64.2%
Operating Margin 66.2% 17.2% 37.1% 60.3%
Net Margin 63.7% 15.6% 30.1% 49.9%
ROE 117.2% 10.2% 53.9% 40.0%
Free Cash Flow $41.81B $8.84B $8.44B $730.83B
FCF Margin 13.8% 21.4% 23.9% 16.5%
Debt / Equity 0.17x 6.36x 9.09x 0.17x
Current Ratio 4.59x 2.61x 1.33x 2.46x
Dividend Yield 0.46% 0.00% 0.52% 1.03%
Next Earnings Nov 17, 2026 Nov 03, 2026 Oct 14, 2026 Oct 15, 2026
Quarterly Revenue $96.22B $11.54B $9.33B $1.27T
Revenue QoQ +17.9% +12.5% +6.4% +12.0%
Quarterly Net Income $59.69B $2.30B $2.92B $706.56B
Net Income QoQ +2.3% +66.1% +5.8% +23.4%

NVDA thesis lens

AI compute platform

Why it could benefit

  • NVIDIA remains the center of AI training and high-end inference demand.
  • Its stack includes chips, networking, systems, CUDA, and software libraries, not just GPUs.
  • As models get larger and enterprises move into production, full-stack control becomes more valuable.

Moat / edge

  • CUDA ecosystem and developer lock-in.
  • Leading performance in accelerated computing.
  • Integrated platform spanning silicon, interconnect, and software.

What to watch

  • Supply-demand balance for each new architecture cycle.
  • Mix shift between hyperscalers and enterprise customers.
  • Competition from custom silicon and AMD.

Key risks

  • Customer concentration and product-transition execution matter a lot.
  • Any sharp slowdown in capex could compress expectations quickly.

AMD thesis lens

GPU/CPU AI accelerator challenger

Why it could benefit

  • Instinct GPUs give hyperscalers a second-source path for AI training and inference.
  • EPYC CPUs and adaptive compute help AMD participate across the AI server bill of materials.
  • If open accelerator ecosystems broaden, AMD can gain share from customers avoiding single-vendor dependence.

Moat / edge

  • High-performance CPU franchise and growing GPU roadmap.
  • Deep relationships with hyperscalers, OEMs, and enterprise server buyers.
  • Chiplet design capability and manufacturing partnership with TSMC.

What to watch

  • Instinct shipment ramp and software maturity.
  • Gross margin mix between CPUs, GPUs, gaming, and embedded.
  • Cloud customer adoption versus Nvidia alternatives.

Key risks

  • Nvidia's software ecosystem remains the hardest competitive hurdle.
  • AI GPU demand can be lumpy if customer qualification slips.

ASML thesis lens

EUV lithography chokepoint

Why it could benefit

  • ASML is the sole supplier of EUV lithography systems used for the most advanced logic and memory nodes.
  • AI compute demand raises the need for leading-edge wafer capacity.
  • Memory ramps such as advanced DRAM and HBM also pull on lithography intensity.

Moat / edge

  • Unique EUV technology stack with deep supplier specialization.
  • Entrenched customer relationships with leading-edge foundries and memory makers.
  • Long development cycles make displacement extremely difficult.

What to watch

  • EUV and High NA EUV order trends.
  • China restrictions and shipment timing.
  • Foundry and memory capex cycles.

Key risks

  • Export controls can limit sales into key regions.
  • Semicap cycles can create long drawdowns despite strong long-term positioning.

TSM thesis lens

Advanced semiconductor manufacturing

Why it could benefit

  • Most leading AI chips still depend on TSMC's manufacturing and advanced packaging.
  • As AI complexity rises, foundry leadership in yield, scale, and packaging matters more.
  • TSMC is a cleaner way to own the ecosystem rather than one end-market winner.

Moat / edge

  • Leading-edge process technology.
  • Manufacturing scale and execution track record.
  • Hard-to-replicate ecosystem trust with top chip designers.

What to watch

  • Capacity additions in advanced nodes and CoWoS-type packaging.
  • Geographic expansion and margin preservation.
  • Mix between smartphone, HPC, and AI demand.

Key risks

  • Geopolitical risk is always part of the TSMC thesis.
  • Large customer concentration can amplify cycle swings.