Snowflake stocks surged 115.87% over a three-month period from April 10 to July 10, closing at $261.45 on July 10 (local time) compared to $121.11 on April 10. The cloud-based data platform company recovered from a prior 40% decline earlier this year by transforming into essential AI infrastructure for enterprises. Snowflake now enables customers to run AI models directly within its platform without data exfiltration risks, a capability strengthened through a partnership with OpenAI announced in February that allows companies to deploy ChatGPT's models on Snowflake's infrastructure.
Snowflake Establishes Consumption-Based Data Warehouse Model
Snowflake was founded in 2012 by data specialists from Oracle, the world's leading database software company. The company built a cloud-based data warehouse that consolidates enterprise data previously scattered across departments and cloud infrastructures into a single managed repository. Snowflake's platform allows authorized users to share and collaborate on data similar to Google Docs, enabling companies to leverage their data as a shared asset.
The company's growth accelerated through a consumption-based pricing model where customers pay only for actual compute and storage usage, replacing traditional fixed-cost structures. Warren Buffett's Berkshire Hathaway notably participated in Snowflake's 2017 initial public offering.
However, Snowflake stocks declined over 40% from the beginning of this year through early April due to intensifying competition, slowing growth, and market fears that AI could reduce demand for software companies.
OpenAI Partnership Enables In-Platform AI Model Deployment
Snowflake achieved its turnaround by repositioning as essential infrastructure for enterprise AI transformation. The company addressed corporate concerns about data security by reversing the paradigm—instead of extracting internal data to train external AI models, Snowflake brings AI models into the data warehouse where information already resides.
In February, Snowflake partnered with OpenAI to enable customers to run cutting-edge AI models directly on the Snowflake platform. This architecture allows enterprises to deploy AI capabilities without exposing proprietary data to external systems.
Q1 FY2027 Revenue Reaches $1.39 Billion with 34% Year-Over-Year Growth
Snowflake announced its fiscal year 2027 first quarter results on May 27. Revenue reached $1.39 billion, representing 34% year-over-year growth and exceeding market expectations. Adjusted earnings per share came in at $0.39, surpassing the $0.32 analyst consensus.
Both customer count and usage increased. The company reported 813 customers from Forbes Global 2000 companies, with existing customer spending up 26%. Remaining performance obligations (RPO), representing future revenue from long-term contracts, grew 38% year-over-year to $9.21 billion. Based on these results, Snowflake raised its annual product revenue guidance from $5.66 billion to $5.84 billion.
Snowflake CEO Sridhar Ramaswamy stated, "AI continues to be a strong tailwind for Snowflake, and Q1 was a clear inflection point. We are seeing strong growth both from AI-powered acceleration of our core platform and increasing adoption of our own AI products, and we are ready to lead this new era."
UBS Raises Price Target from $210 to $370
Wall Street investment banks elevated their outlook on Snowflake stocks. UBS raised its price target from $210 to $370. Bank of America (BoA) identified Snowflake as a software stock expected to see additional gains in the second half of this year, evaluating it as the strongest AI data platform beneficiary with high potential to become a core platform in the enterprise AI market.
FAQ
What caused Snowflake stocks to surge 115.87% from April 10 to July 10?
Snowflake stocks rose from $121.11 on April 10 to $261.45 on July 10 due to the company's transformation into essential AI infrastructure for enterprises. The February partnership with OpenAI enabled customers to run AI models directly on Snowflake's platform without data exfiltration risks, addressing corporate security concerns while capitalizing on enterprise AI adoption trends.
What financial results did Snowflake report for Q1 fiscal year 2027?
Snowflake announced on May 27 that Q1 FY2027 revenue reached $1.39 billion (34% year-over-year growth), adjusted EPS was $0.39 (beating $0.32 estimates), and remaining performance obligations grew 38% to $9.21 billion. The company raised annual product revenue guidance from $5.66 billion to $5.84 billion based on 813 Forbes Global 2000 customers and 26% increase in existing customer spending.
How did Wall Street analysts respond to Snowflake's AI infrastructure transformation?
UBS raised its price target for Snowflake stocks from $210 to $370. Bank of America identified Snowflake as a top software stock for second-half gains, evaluating it as the strongest AI data platform beneficiary with high potential to become a core platform in the enterprise AI market.
