Gotrade News - Wall Street analysts reset price targets across the software sector as AI consumption data reshapes growth assumptions. Snowflake, Salesforce and MongoDB drew the loudest calls this week from major brokers.
The repricing wave reflects stronger AI workload signals colliding with mixed near-term guidance from enterprise software incumbents. Investors are now weighing consumption acceleration against softer second-quarter forecasts.
Key Takeaways
- Oppenheimer lifted Snowflake's price target to $295 on Cortex Code adoption momentum.
- KeyBanc trimmed Salesforce to $290 but kept Overweight ahead of an Agentforce ramp.
- UBS raised MongoDB to $350 as Atlas positions itself as the AI agent backend.
Analyst Price Target Wave
According to Insider Monkey, Oppenheimer raised its Snowflake (SNOW) price target to $295 from $250. The broker kept an Outperform rating and flagged accelerating Cortex Code adoption as the key driver.
Cortex Code surpassed 7,100 accounts in its first quarter on the market. Oppenheimer said the launch is already pulling consumption higher across the existing enterprise base.
Snowflake's first-quarter product revenue rose 33.9% year over year, comfortably ahead of consensus. The company also reinforced its data cloud roadmap with a five-year, $6 billion AWS partnership.
Per Insider Monkey, KeyBanc analyst Jackson Ader trimmed Salesforce (CRM) to $290 from $300. He kept his Overweight rating despite a softer second-quarter guide from management.
Salesforce still beat first-quarter expectations with revenue of $11.13 billion versus $11.05 billion estimated. Earnings landed at $3.88 per share, well above the $3.12 consensus print.
Ader described the results as acceptable and pointed to a stronger second half. He cited building Agentforce, Data Cloud and Slack pipelines as catalysts for renewed acceleration.
What It Means for SaaS Multiples
UBS raised MongoDB (MDB) to $350 from $275 while keeping a Neutral rating. The broker pointed to a sharp reacceleration in Atlas consumption and AI-driven workloads.
According to Insider Monkey, MongoDB's first-quarter fiscal 2027 revenue hit $687.6 million, up 25%. Subscription revenue rose 25% to $666.1 million across the installed base.
Remaining performance obligations jumped 88% to $1.46 billion, signaling a thicker pipeline of multi-year deals. UBS framed the backlog as evidence that AI builders are committing to Atlas long term.
The recently expanded LangChain partnership cements Atlas as a preferred backend for AI agent applications. UBS said this positioning could compound through the next enterprise budget cycle.
For investors, the trio of calls shows analysts separating durable AI consumption winners from cyclically softer SaaS incumbents. Snowflake and MongoDB are leading the narrative while Salesforce works through near-term guidance noise.
The repricing wave suggests SaaS multiples may stay bifurcated through the rest of the year. Companies with clear AI consumption telemetry are earning premium targets, while broader application vendors face tighter scrutiny.
