Snowflake Inc. (SNOW) Covered Calls

Snowflake Inc. covered calls Snowflake Inc. is a leading cloud-based data platform that provides a unified environment for data warehousing, data lakes, and AI-driven applications. Its unique "shared-data, multi-cluster" architecture decouples storage from compute, allowing for seamless scalability across major public clouds. Headquartered in Bozeman, Montana, Snowflake serves over 12,000 customers, enabling them to mobilize, govern, and monetize data through a high-performance, consumption-based model.

You can sell covered calls on Snowflake Inc. to lower risk and earn monthly income. Born To Sell's covered call screener gives you customized search capabilities across all possible covered calls but here are a couple of examples for SNOW (prices last updated Fri 4:16 PM ET):

Snowflake Inc. (SNOW) Stock Quote
Last Change Bid Ask Volume P/E Market Cap
182.29 +9.38 180.25 183.00 8.3M - 117
Covered Calls For Snowflake Inc. (SNOW)
Expiration Strike Call Bid Net Debit Return
If Flat		 Annualized
Return If Flat
Feb 20 182.5 5.30 177.70 2.7% 123%
Mar 20 180 17.45 165.55 8.7% 88.2%
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Snowflake Inc. (SNOW) is the "AI Data Cloud" company, transitioning in 2026 from a high-performance data warehouse into a foundational engine for enterprise artificial intelligence. Snowflake allows organizations to consolidate silos of data across multiple public clouds—AWS, Azure, and Google Cloud—into a single, governed platform. By enabling "zero-copy" data sharing and providing a robust application framework, Snowflake eliminates the need for expensive and risky data movement, making it the central hub for the modern data-driven enterprise.

Core Business and Revenue Drivers

  1. Product Revenue (Consumption Model): Unlike traditional SaaS, Snowflake uses a consumption-based model where customers pay for "credits" used for compute and storage. In early 2026, the company reported a surge in consumption driven by AI workloads. For FY2026, Snowflake has guided for product revenue of approximately $4.45 billion, representing 28% year-over-year growth.
  2. Snowflake Cortex AI: Launched as a cornerstone of its 2026 strategy, Cortex AI is a fully managed service that provides access to industry-leading Large Language Models (LLMs). As of February 2026, the company has integrated OpenAI models (including GPT-5.2) directly into the platform through a landmark $200 million partnership, allowing users to run AI agents on their proprietary data securely.
  3. Snowpark & Data Apps: Snowpark allows developers to run non-SQL code (Python, Java) directly inside Snowflake. This has transformed the platform into a runtime for full-stack applications. In February 2026, the general availability of Cortex Code—an AI-powered coding agent—has further accelerated the development of data pipelines and AI apps by understanding the specific context of a merchant’s data environment.

Competitive Landscape

Snowflake operates in the fiercely competitive data infrastructure market, where it battles both cloud giants and agile "lakehouse" challengers. Its most direct cloud-native rival is Databricks, which remains private but is actively preparing for a 2026 IPO. Among public peers with liquid options, it competes for database and analytics budgets with MongoDB and Oracle. In the infrastructure software space, it is often grouped with "mission-critical" observability and security leaders like Datadog and Cloudflare. Additionally, it faces pressure from the native data tools of its host providers, specifically Amazon (Redshift) and Alphabet (BigQuery).

Strategic Outlook and Innovation

In 2026, Snowflake is focused on "Agentic Intelligence." The strategic pivot emphasizes Snowflake Intelligence, an enterprise-wide agent that allows non-technical employees to query data using natural language. A major 2026 innovation is the Semantic View Autopilot, which automates the governance of data metrics to ensure AI agents provide consistent, trustworthy answers. Financially, while the company maintains a robust 76% product gross margin and produces significant free cash flow, the market remains focused on its path toward GAAP profitability. By leaning into open data standards via Apache Iceberg and its Polaris Catalog, Snowflake aims to reduce vendor lock-in concerns and position itself as the neutral, cross-cloud layer for the global AI revolution.