Mongodb was set to add more than $5.2 billion to its market capitalization of $17.51 billion.
Generated AI apps process huge amounts of unstructured data and drive the demand for cloud databases such as ATLA, which can quickly retrieve information, power chatbots, recommendations and search tools.
As businesses build and deploy more AI capabilities, the use of AI-enabled databases and related services is increasing. This means that platforms that integrate with major clouds and AI tools have faster revenue speeds.
“Thanks to the reallocation of market resources and product enhancements in artificial intelligence, we are encouraged by the momentum towards a strong market across Mongodb's startup and corporate customers,” said Luke Yang, analyst at Monstarstar.
Analysts also said that reassigning sales resources to focus on enterprise clients will drive use from MongoDB's biggest customers. The company has raised its annual adjusted earnings forecast between $3.64 and $3.73 from its previous forecast of $2.94 to $3.12 per share. Revenues are expected to range from $2.34 billion to $2.36 billion for the fiscal year ending in January, ranging from $2.25 billion to $2.29 billion from previous forecasts.
Both revenue and profit forecasts exceeded Wall Street estimates.
More than 15 analysts have raised stock price targets. The average rating of the company's stock is “purchase”, with a median price target of $325.
Its stock trades 58.6 times its earnings estimate, compared to 140.91 in snowflakes and 32.85 in Oracle.
