Salesforce (CRM) Stock Forecast & Price Target

Salesforce is benefiting from strong customer demand and clear spending momentum, with 10 of 13 customers and partners at Dreamforce 2026 expecting spending to be up over the next 12-18 months, versus six up in 2022, while management also highlighted record pipeline levels, accelerating net new AOV growth, and cRPO growth of 14% in Q2. The company’s product moat looks durable because its Customer 360, Slack, Data 360, Agentforce, governance, and integration layers make it sticky for enterprises that want trusted, secure, and composable AI workflows, and the ability to monetize AI through new seats, premium SKUs, usage-based pricing, outcome-based pricing, and AIforce Max broadens the revenue opportunity beyond traditional licenses. Fundamentally, the long-term outlook is further supported by management’s reaffirmed FY30 framework of $63 billion in revenue, continued PF EBIT margin expansion, and growing FCF, alongside evidence that AI-native customers are already expanding on the platform, suggesting Salesforce can convert its installed base and AI adoption into durable growth.

Salesforce is facing a tough fundamental challenge: despite its strong CRM franchise and broad “Customer 360” stack, the company itself acknowledges that operationalizing AI at enterprise scale is difficult because pricing, packaging, and unit economics differ materially between small customers and large enterprises, which raises the risk that monetization will be uneven and margins pressured. While management reiterated an FY30 revenue target of $63B+ and cited examples like Siemens using Agentforce to automate workflows across 132 countries, the fact that much of the AI value proposition remains tied to future deployment, integration, and adoption suggests execution risk rather than an immediate, clean earnings lift. From a negative outlook perspective, the combination of heavy dependence on convincing customers to pay for complex AI features, the need to deliver a complete stack to justify that spend, and the implied challenge of scaling efficiently across diverse customer sizes makes the stock vulnerable if growth or AI monetization falls short of optimistic long-term targets.