Snowflake’s share price has plunged roughly 25% year-to-date in 2026 as reported quarterly revenue growth slowed to 29% year-over-year, down from 32% in the prior period. Investors had anticipated an acceleration reminiscent of peers like Palantir, but the deceleration, combined with GAAP losses north of $1 billion driven largely by $1.2 billion in stock-based compensation, has sapped confidence. Despite robust metrics—125% net revenue retention and $7.88 billion in remaining performance obligations—the company’s $59 billion market capitalization is judged by some analysts to be unsupported without a clear path to faster top-line expansion and sustainable profitability.

At a recent investor event, CEO Sridhar Ramaswamy unveiled Cortex Code, an AI coding agent designed to accelerate application development and automate data pipelines within Snowflake’s Intelligence platform. The launch accompanies three other major product introductions—Snowflake Postgres for unified transactional and analytical workloads, Semantic View Autopilot for automated data modeling, and expanded governance controls. Snowflake also confirmed a multi-year, $200 million partnership with OpenAI to embed generative AI models directly into its Data Cloud. Bank of America reiterated its Buy rating but lowered its 12-month price target, citing intensifying competition from hyperscalers and Databricks and the need to demonstrate continued revenue acceleration.

Snowflake strengthened its Marketplace offering through a collaboration with Fitch Solutions to deliver AI-ready credit data directly within its platform. Under the partnership, Fitch’s U.S. auto, consumer unsecured, and non-agency RMBS loan-level performance benchmarks are now available alongside forthcoming datasets covering ESG, emerging markets and industry sectors. This integration allows clients to bypass custom ingestion pipelines, reducing time-to-insight and operational complexity. Snowflake’s Sr. Manager of Financial Services Data Cloud Partners, Tom Gray, noted that adding Fitch’s rigorously sourced datasets further solidifies Snowflake’s ecosystem of trusted third-party content and supports accelerated credit analytics and AI use cases.