Research Portal

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

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Compute Stack AI Platforms Power Buildout Robotics
NVDA Compute / Networking

NVIDIA

AI compute platform

Detail page

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

Price $172.70
1D change -3.28%
Market cap $4.20T
Sector Technology
AVGO Compute / Networking

Broadcom

Custom AI silicon + networking

Detail page

Broadcom benefits from AI through custom accelerators, networking chips, and high-speed connectivity.

Price $310.51
1D change -2.92%
Market cap $1.47T
Sector Technology
TSM Compute / Networking ADR

TSMC ADR

Advanced semiconductor manufacturing

Detail page

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

Price $329.24
1D change -2.82%
Market cap $1.71T
Sector Technology
ANET Compute / Networking

Arista Networks

AI data-center networking

Detail page

Large AI clusters need fast, reliable, scale-out networking, and Arista is a leader there.

Price $131.22
1D change -3.70%
Market cap $165.24B
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.

Metric NVDA AVGO TSM ANET
Price $172.70 $310.51 $329.24 $131.22
1D Change -3.28% -2.92% -2.82% -3.70%
Market Cap $4.20T $1.47T $1.71T $165.24B
Enterprise Value $4.15T $157.00B $6.58T $154.16B
Trailing P/E 35.2 60.6 31.8 47.5
Forward P/E 15.5 17.6 18.3 30.8
Price / Sales 19.4 21.6 0.4 18.3
EV / Revenue 19.2 2.3 1.7 17.1
Revenue Growth 73.2% 16.4% 20.5% 28.9%
Earnings Growth 95.6% 188.1% 35.0% 19.1%
Gross Margin 71.1% 76.7% 59.9% 64.1%
Operating Margin 65.0% 31.8% 53.9% 41.5%
Net Margin 55.6% 36.6% 45.1% 39.0%
ROE 101.5% 33.4% 35.1% 31.4%
Free Cash Flow $58.13B $25.50B $643.45B $3.39B
FCF Margin 26.9% 37.4% 16.9% 37.6%
Debt / Equity 7.25x 1.66x 0.20x 0.18x
Current Ratio 3.90x 1.90x 2.62x 3.05x
Dividend Yield 2.00% 84.00% 107.00% —
Next Earnings May 20, 2026 Jun 03, 2026 Apr 16, 2026 May 05, 2026
Quarterly Revenue $68.13B $19.31B $1.05T $2.49B
Revenue QoQ +19.5% +7.2% +5.7% +7.8%
Quarterly Net Income $42.96B $7.35B $505.74B $955.8M
Net Income QoQ +34.6% -13.7% +11.8% +12.1%

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.

AVGO thesis lens

Custom AI silicon + networking

Why it could benefit

  • Broadcom benefits from AI through custom accelerators, networking chips, and high-speed connectivity.
  • Hyperscalers want alternatives to one-size-fits-all GPU designs, and Broadcom helps build them.
  • Its infrastructure-software cash flows can support long-term investment while reducing single-cycle risk.

Moat / edge

  • Deep engineering relationships with hyperscalers and OEMs.
  • Mission-critical connectivity in high-performance systems.
  • Diversified portfolio across semis and infrastructure software.

What to watch

  • Custom ASIC program wins and revenue ramps.
  • Networking demand tied to scale-out AI clusters.
  • Integration and returns from software assets.

Key risks

  • Large customers can have lumpy spending patterns.
  • Execution risk rises as custom programs scale in complexity.

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.

ANET thesis lens

AI data-center networking

Why it could benefit

  • Large AI clusters need fast, reliable, scale-out networking, and Arista is a leader there.
  • Ethernet's role in AI data centers keeps growing as architectures evolve.
  • Arista is leveraged to both hyperscaler and enterprise data-center modernization.

Moat / edge

  • Strong software layer and operational simplicity.
  • Trusted relationships with sophisticated cloud customers.
  • High-performance Ethernet expertise.

What to watch

  • AI-cluster networking mix versus traditional cloud networking.
  • Customer concentration and spending cadence.
  • Competition from incumbents and custom architectures.

Key risks

  • Large orders can be lumpy quarter to quarter.
  • If architecture choices shift, product mix could change quickly.