Back to News
Market Impact: 0.6

Snowflake raises annual product revenue forecast

SNOW
Artificial IntelligenceTechnology & InnovationCorporate EarningsCorporate Guidance & OutlookCompany FundamentalsAnalyst EstimatesProduct Launches
Snowflake raises annual product revenue forecast

Snowflake (SNOW.N) shares rose 6% after hours as the company raised its fiscal 2026 product revenue forecast to $4.325 billion, up from $4.28 billion, driven by strong demand for its data analytics services amid increased enterprise AI spending. The company's first-quarter product revenue grew 26% to $996.8 million, exceeding estimates of $959.2 million, and it anticipates current-quarter product revenue between $1.035 billion and $1.040 billion, surpassing the LSEG estimate of $1.021 billion. Snowflake is capitalizing on AI integration through partnerships with OpenAI and Anthropic, enabling customers to build advanced AI models.

Analysis

Snowflake (SNOW.N) has demonstrated strong operational momentum and an improved financial outlook, evidenced by its decision to raise its fiscal 2026 product revenue forecast to $4.325 billion, up from a prior target of $4.28 billion. This upward revision is attributed to robust demand for its data analytics services, significantly fueled by increasing enterprise investment in artificial intelligence. The market responded positively, with Snowflake's shares climbing 6% to $190.09 in extended trading, building on a 16% gain year-to-date. The company's first-quarter performance underscored this strength, with product revenue increasing approximately 26% year-over-year to $996.8 million, surpassing analysts' estimates of $959.2 million (which implied 21.5% growth). Adjusted earnings per share for the quarter were 24 cents, exceeding the consensus estimate of 21 cents. Furthermore, Snowflake projects current-quarter product revenue in the range of $1.035 billion to $1.040 billion, ahead of the LSEG compiled estimate of $1.021 billion. Key drivers for this performance include the company's strategic push to integrate artificial intelligence into its cloud offerings through partnerships with entities such as OpenAI and Anthropic, enabling customers to build and utilize more advanced AI models, and benefiting from the broader trend of enterprises migrating workloads to the cloud while developing AI applications.