Snowflake Inc. (NYSE: SNOW) climbed 4.07% on Friday, May 22, with shares rising from a prior close of $165.54 to close at $172.28, touching a session high of $173.50 as investors positioned ahead of the company’s next quarterly earnings report scheduled for May 27, 2026.
The intraday low of $167.67 held comfortably above the prior close, indicating broad buying interest throughout the session rather than a narrow short-covering move.
SNOW’s 52-week range of $118.30 to $280.67 places the current price in the lower half of the annual band, with the stock having shed significant value from the highs reached earlier in the year.
The stock carries a strong buy consensus from covering analysts, with 44 recommending a purchase and just one suggesting a sale, and an average 12-month price target of $229.66 implying upside of approximately 33% from Friday’s close.
Snowflake’s AI Data Cloud platform has become an increasingly important part of the company’s commercial narrative in 2026, with management emphasising the platform’s ability to help enterprises unify data and deploy AI applications across their organisations.
The company is in the process of executing a significant transition under CEO Sridhar Ramaswamy, who joined from Google and has been reshaping the product strategy around AI-native data applications.
Snowflake competes directly with Databricks in the data cloud market, and the competitive dynamic between the two companies has been one of the most closely watched in enterprise software throughout 2025 and 2026.
The stock dropped sharply from its 52-week high of $280.67 during a broader software sell-off earlier in 2026, driven by investor concerns that AI tools could reduce enterprise dependence on traditional data platform vendors.
Analysts broadly rejected that thesis, arguing that the AI adoption wave is fundamentally data-intensive and therefore structurally beneficial for platforms like Snowflake rather than a threat to them.
The May 27 earnings report will be the most significant near-term catalyst for SNOW, with Wall Street focused on revenue growth, net revenue retention, and any updates to the company’s full-year revenue guidance as evidence of whether the AI data platform narrative is translating into accelerating commercial momentum.
