💡 What does Snowflake do?
Snowflake offers a cloud-native platform for companies to store, analyze, share and monetize data - regardless of the cloud provider (AWS, Azure, Google Cloud).
Customers can access all data with a standardized architecture without having to manage infrastructure themselves. This makes Snowflake particularly attractive for modern, data-driven companies.
🔧 Products & platform
🔵 Snowflake Data Cloud
→ Combines Data Lake, Data Warehouse & Analytics in one scalable platform.
→ No more silos - one data foundation for all workloads.
🔵 Cortex AI (greatly expanded since 2025)
→ Agent AI for companies: Data analysis, automation & evaluation with natural language - also for non-tech users.
→ Goal: "AI at the touch of a button" for all business departments.
🔵 Snowflake Marketplace
→ Companies can trade data products or enrich their AI models with external data sets.
→ Strengthens platform logic - with network effects and monetization.
🔵 Industry solutions
→ e.g. for financial service providers, healthcare, media, retail.
→ Tailors the platform specifically to industry-specific use cases.
📊 Current key figures (as of 11.07.2025)
- Turnover (TTM): 3.63 billion dollars (+26 %)
- Customers >1 million USD turnover: 606 (+27 %)
- Net retention rate: 124 % ✅
- Gross margin: 76 %
- Rule of 40: 45.9 % ✅
- Magic number: 1.45 ✅
- Market capitalization: 72 billion $
- Share price: 190.94 $
📈 Why Snowflake is interesting
✅ Strong customer loyalty
→ NRR of 124% shows: Existing customers grow with us and actively expand their use.
✅ Scalable platform
→ Once integrated, companies are strongly committed to the data cloud.
→ High switching costs & long-term upsell possible.
AI as a catalyst
→ Cortex AI & the Data Marketplace are drivers for future growth.
→ Companies are currently looking for solutions to integrate their own data into AI workflows - Snowflake delivers exactly that.
Cloud agnostic
→ Full freedom for customers, independent of AWS, Azure or Google Cloud.
→ This reduces lock-in risks and increases market reach.
✅ Strong customer base
→ Well-known customers include Capital One, Allianz, Sony, Adobe, Warner Bros. Discovery, Kraft Heinz, Dropbox and Instacart.
→ Many of these customers use Snowflake company-wide - including for AI-driven applications.
✅ Efficient growth
→ Rule of 40 and Magic Number fulfilled - strong signal for operational quality despite net losses.
⚠️ Risks & weaknesses
- Not GAAP-profitable: Still losses despite strong cash flow.
- High valuation: P/E ~20 → ambitious in a volatile tech environment.
- Competition: e.g. from Databricks, AWS Redshift, Google BigQuery.
- Price fluctuations: Since IPO 2020 partly strong volatility - but recently stable trend again.
🧠 Conclusion
Snowflake is more than a data warehouse - it is becoming the central hub for data-driven companies with a focus on AI, analysis & monetization.
The platform approach with network & lock-in effects, paired with strong operational metrics (NRR, Rule of 40, Magic Number), makes Snowflake an exciting long-term asset in the cloud/AI sector.
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