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Salesforce stock price target maintained at $240 by TD Cowen

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Salesforce stock price target maintained at $240 by TD Cowen

TD Cowen reiterated a Buy rating on Salesforce with a $240 price target, while the stock trades around $191 and InvestingPro flags it as below Fair Value. The note highlights accelerating Agentic Work Unit consumption, up 111% quarter over quarter in Q1 versus 57%, 62%, 34% and 21% in the prior four quarters, supporting the company’s AI monetization thesis. Salesforce also reported $42.83 billion in trailing revenue, 77.6% gross margin, and a quarterly dividend of $0.44 per share payable July 2, 2026.

Analysis

The setup is less about headline AI enthusiasm and more about a potential re-rating of CRM’s revenue mix. If agentic workloads truly shift from pilot usage to recurring enterprise consumption, the market should start valuing Salesforce more like a usage-accelerating infrastructure layer than a mature software vendor, which would expand multiples even before the monetization model is fully visible. The key second-order effect is that Slack becomes strategic not as a messaging asset, but as the control plane that reduces switching costs and increases workflow stickiness across third-party tools.

The main near-term risk is that consumption growth can stay strong while revenue lag remains noisy, creating a “good metrics / bad skepticism” regime for several quarters. That matters because the stock can de-rate if investors conclude the AI layer is driving activity but not ARPU, especially with a large installed base already optimized for margin. Conversely, if agent adoption continues to propagate through enterprise orgs, the next catalyst is not another earnings beat but commentary showing the attach rate broadening from early adopters into core workflow budgets over the next 2-3 quarters.

What the market may be missing is that the upside case is less linear than the current consensus implies: AI agents can increase platform usage without immediately improving top-line visibility, but once embedded, they can also compress churn and lift expansion rates faster than expected. That creates asymmetric optionality in the medium term, while the short term remains vulnerable to any disappointment in monetization language or guidance discipline. The implied message: the stock can work even if the AI revenue story is still embryonic, but only if investors keep paying for future monetization rather than current proof.