Research Portal

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

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
24 shared metrics lined up

Build a compare set

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

Clear
Silicon Stack Data Center Fabric AI Software Power + Grid Robotics
SNOW Cloud, Data & AI Software

Snowflake

Enterprise data cloud for AI

Detail page

AI applications depend on governed, usable enterprise data, which is Snowflake's core layer.

Price $232.78
1D change -3.17%
Market cap $80.68B
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 SNOW
Price $232.78
1D Change -3.17%
Market Cap $80.68B
Enterprise Value $80.50B
Trailing P/E -66.3
Forward P/E 86.7
Price / Sales 16.0
EV / Revenue 16.0
Revenue Growth 33.5%
Earnings Growth —
Gross Margin 67.1%
Operating Margin -22.2%
Net Margin -23.8%
ROE -54.9%
Free Cash Flow $1.74B
FCF Margin 34.6%
Debt / Equity 1.43x
Current Ratio 1.05x
Dividend Yield —
Next Earnings Aug 26, 2026
Quarterly Revenue $1.39B
Revenue QoQ +8.3%
Quarterly Net Income $-295.6M
Net Income QoQ +4.5%

SNOW thesis lens

Enterprise data cloud for AI

Why it could benefit

  • AI applications depend on governed, usable enterprise data, which is Snowflake's core layer.
  • Cortex and related AI services can help customers build AI directly against their data.
  • Consumption growth can improve as AI workloads expand data usage.

Moat / edge

  • Large enterprise data footprint.
  • Cross-cloud data platform with strong ecosystem integrations.
  • Consumption model can scale with workload growth.

What to watch

  • Product revenue growth and net retention.
  • Cortex AI adoption.
  • Competition from Databricks, hyperscalers, and lakehouse tools.

Key risks

  • Optimization by customers can pressure consumption.
  • AI monetization may take longer than platform enthusiasm implies.