Side-by-side research view

Compare names across metrics and research quality

Use up to 4 U.S.-listed names from this dashboard to compare valuation, growth, cash flow, balance-sheet strength, and the curated investment case in one place.

1 stocks in current compare
4 max names side by side
25 shared metrics lined up

Build a compare set

Enter comma-separated tickers from the dashboard universe. Duplicate tickers are ignored automatically.

Clear
ALAB AI Data Center Fabric

Astera Labs

Rack-scale AI connectivity

Detail page

Astera helps solve rack-scale bottlenecks around PCIe, CXL, fabric connectivity, and memory movement.

Price $334.17
1D change +0.81%
Market cap $57.97B
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.

On smaller screens, swipe this table horizontally to compare the full set.

Metric ALAB
Price $334.17
1D Change +0.81%
Market Cap $57.97B
Enterprise Value $56.76B
Trailing P/E 163.8
Forward P/E 53.4
PEG Ratio
Price / Sales 48.2
EV / Revenue 47.2
Revenue Growth 104.5%
Earnings Growth 186.2%
Gross Margin 75.1%
Operating Margin 22.7%
Net Margin 30.7%
ROE 25.8%
Free Cash Flow $91.9M
FCF Margin 7.6%
Debt / Equity 2.57x
Current Ratio 0.10x
Dividend Yield 0.00%
Next Earnings Nov 03, 2026
Quarterly Revenue $392.4M
Revenue QoQ +27.3%
Quarterly Net Income $153.1M
Net Income QoQ +90.6%

ALAB thesis lens

Rack-scale AI connectivity

Why it could benefit

  • Astera helps solve rack-scale bottlenecks around PCIe, CXL, fabric connectivity, and memory movement.
  • As AI systems move from single boxes to tightly linked racks, connectivity and orchestration become more valuable.
  • It is one of the cleanest public ways to own the plumbing inside modern AI servers and racks.

Moat / edge

  • Focused product portfolio aimed at specific AI system bottlenecks.
  • Strong alignment with next-generation rack and accelerator architectures.
  • Technical positioning in a market where performance and validation matter a lot.

What to watch

  • Design-win conversion into production revenue.
  • Customer concentration and platform transitions.
  • Adoption of CXL and other rack-scale standards.

Key risks

  • A younger company can see sharper swings as programs ramp.
  • If key customer platforms slip, near-term growth can look worse quickly.