Snowflake
Data cloud platform. Unified data storage, processing, and sharing across clouds.
What the page says before deeper research
Quality, growth, value, ownership, risk, and source confidence.
Moat 72/100 with medium retention risk.
Growth appears healthy from +29% YoY revenue growth.
Forward P/E of 88.0x versus +29% growth gives a 3.0x multiple-to-growth read.
No SEC-backed 13F layer is matched yet, so ownership confirmation is unavailable.
Monitor valuation, retention, and AI disruption risk.
Fundamentals from finnhub as of 2026-05-17; ownership confirmation is not available here.
This is the clearest available operating KPI for Snowflake in the current dataset.
Beginner valuation check
Data pending from FMP or Finnhub.
Negative price performance shows recent market sentiment, not a full investment thesis.
Forward P/E around 88.0x means investors pay about $88.0 for each expected $1 of future profit per share, usually the next 12 months or next fiscal year. It is a forecast, not a fact.
Trailing P/E is unavailable, often because earnings are negative or provider data is missing.
Source: market data index. As of May 21, 2026. P/E can be unavailable or misleading when earnings are negative.
Beginner guide
Snowflake is like a giant toy box in the sky where companies keep all their numbers and lists. When someone needs to look at the numbers or share them with a friend, they just ask the toy box and it shows them—no need to copy everything by hand.
Data cloud platform. Unified data storage, processing, and sharing across clouds.
Snowflake makes money through Data Cloud Platform (~$3B product revenue), Data Engineering & Pipelines (Included in platform), Data Marketplace (Marketplace revenue share), and Security & Governance (Enterprise requirement).
Leader in cloud data warehousing with strong product-market fit; compute-storage separation enables efficient scaling
Snowflake can disappoint if execution, competition, valuation, or demand cycles weaken growth, margins, customer retention, or investor confidence.
Snowflake is like a business operating system for data cloud platform: customers pay because replacing it can be disruptive.
You are basically betting that Snowflake can keep turning data cloud platform into durable value while managing execution, competition, valuation, or demand cycles.
A 0-100 shortcut for how defensible the business looks in this company brief. Snowflake is scored at 72.
How painful it is for customers to leave. this company brief rates Snowflake as medium.
Whether existing customers tend to spend more or less over time. The company brief model uses 131%.
The main pieces of the company here are Data Cloud Platform, Data Engineering & Pipelines, Data Marketplace, and Security & Governance.
Price divided by earnings. It is a quick valuation check, but it can mislead when earnings are temporarily high, low, or negative.
A quarterly filing that shows what many large institutional investors owned at quarter end.
The first four questions
Snowflake’s data cloud platform remains the core engine, and the company’s 29.16% year-over-year revenue growth shows the business is still expanding while customers continue to build more workloads on the platform.
Snowflake can disappoint if execution slips, competition from Databricks, BigQuery, or Redshift intensifies, or customer spending softens enough to slow growth and weaken investor confidence.
Revenue growth YoY: 29.16%
Next earnings date unavailable from configured sources.
Bull / Neutral / Bear
The market continues to weigh Snowflake’s strong platform position against its demanding valuation, so the stock follows execution more than narrative.
Revenue growth holds up, but the market still focuses on whether the current forward P/E around 88.0x is justified by business quality.
Snowflake keeps converting its data cloud platform into durable usage growth, with the marketplace, pipelines, and governance tools reinforcing the core platform.
Revenue growth stays near the current +29.16% pace or improves while customer expansion remains healthy.
The market continues to weigh Snowflake’s strong platform position against its demanding valuation, so the stock follows execution more than narrative.
Revenue growth holds up, but the market still focuses on whether the current forward P/E around 88.0x is justified by business quality.
Slower consumption growth, heavier competition, or weaker retention would make it harder for Snowflake to support its premium valuation.
Revenue growth decelerates, retention trends weaken, or competitive pressure starts to show up in customer spending.
Beginner checklist
Needs earnings calendar data from a provider; do not guess the date.
This is the clearest available operating KPI for Snowflake in the current dataset.
Margin trend requires company financial statement data and is not provided here.
A high forward multiple means investors are paying for future profit expectations, not current earnings.
No SEC-backed ownership rows are available for this ticker yet.
Needs insider transaction data from a provider.
Track whether the core data cloud platform stays the main growth engine for the business.
Snowflake is exposure to data cloud platform with medium switching costs and 131% net revenue retention.
Leader in cloud data warehousing with strong product-market fit; compute-storage separation enables efficient scaling
The main question is whether the company can keep customer value compounding without margin pressure eroding the moat.
Use the simulator to walk through the workflows, systems, and data dependencies investors are effectively buying.
Business Lines
What's Inside
No SEC-backed 13F rows are matched for this ticker yet. We do not fabricate ownership rows.
- Leader in cloud data warehousing with strong product-market fit; compute-storage separation enables efficient scaling
- Net revenue retention of 131% driven by consumption growth and workload expansion within accounts
- Data sharing and Marketplace differentiate from legacy warehouses; network effects as data ecosystem grows
- Medium switching costs: migration is feasible but non-trivial for large datasets and complex pipelines
- AI/ML workloads (Cortex, Document AI) and Iceberg support expand TAM; medium disruption risk from AI-native data platforms
- Competition from Databricks, BigQuery, and Redshift; growth deceleration and margin pressure in focus