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
COHR AI Data Center Fabric

Coherent

Optics + photonics bottleneck

Detail page

Coherent gives the dashboard a second serious optics name, which matters because AI networking is increasingly an optical problem.

Price $295.98
1D change +6.92%
Market cap $57.96B
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 COHR
Price $295.98
1D Change +6.92%
Market Cap $57.96B
Enterprise Value $59.86B
Trailing P/E 70.5
Forward P/E 21.2
PEG Ratio 0.92x
Price / Sales 8.1
EV / Revenue 8.4
Revenue Growth 33.7%
Earnings Growth
Gross Margin 37.5%
Operating Margin 11.8%
Net Margin 11.3%
ROE 8.0%
Free Cash Flow $-650.0M
FCF Margin -9.1%
Debt / Equity 0.32x
Current Ratio 2.43x
Dividend Yield 0.00%
Next Earnings Nov 04, 2026
Quarterly Revenue $2.05B
Revenue QoQ +13.3%
Quarterly Net Income $240.5M
Net Income QoQ +25.7%

COHR thesis lens

Optics + photonics bottleneck

Why it could benefit

  • Coherent gives the dashboard a second serious optics name, which matters because AI networking is increasingly an optical problem.
  • It provides exposure to lasers, transceivers, and photonic components that support large AI fabrics.
  • If optical capacity becomes a key AI constraint, Coherent is closer to the bottleneck than many mainstream semiconductor names.

Moat / edge

  • Deep photonics and materials expertise.
  • A broad product set across critical optical components.
  • Positioning in a specialized manufacturing stack that is hard to replicate.

What to watch

  • AI-related datacenter optics demand and customer wins.
  • Margin improvement as mix shifts.
  • How much NVIDIA-linked optical demand translates into sustained revenue.

Key risks

  • Execution and integration complexity can weigh on results.
  • Optics demand can be cyclical and less linear than the AI narrative suggests.