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Home News Equities

Salesforce Projects Return to Double-Digit Revenue Growth

by Team Lumida
October 16, 2025
in Equities
Reading Time: 3 mins read
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Salesforce’s AI Vision: Game-Changer or Overhyped?
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Key Takeaways

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  • Salesforce guided to a return to double-digit revenue growth within 12–18 months and targets $60B in annual revenue by FY2030 (ex-Informatica).
  • An additional $7B buyback over the next six months supports per-share metrics; shares rose ~4% after-hours but remain down ~29% YTD.
  • Concerns about AI spend shifting to startups are countered by Salesforce’s Agentforce traction (≈12,000 customers) and internal savings (~$100M/year).

What happened?

At an investor event during Dreamforce, Salesforce outlined a plan to re-accelerate top-line growth back to double digits, with a long-term ambition of $60B revenue by FY2030 excluding the pending Informatica acquisition (expected H1 2026 close). Management framed near-term acceleration over 12–18 months and announced a $7B share repurchase to be executed within six months. The stock gained on the outlook after a difficult year marked by single-digit growth and investor skepticism that enterprise budgets are migrating toward AI-native startups.

Why it matters

The guidance aims to reset growth expectations and reaffirm Salesforce’s role in the AI-enabled applications stack. Agentforce adoption and measurable internal cost savings bolster the case that AI can drive both revenue expansion and efficiency, countering the “apps are dead” narrative. The aggressive buyback provides near-term EPS support and signals confidence ahead of integrating Informatica, though sustained multiple expansion likely requires evidence of accelerating bookings, AI-driven upsell, and margin durability.

What’s next?

Watch for leading indicators: RPO/bookings growth, Agentforce monetization (seat/consumption expansion), and early cross-sell with data integration once Informatica closes. Delivery on the 12–18 month acceleration timeline will hinge on macro IT spend, competitive dynamics with AI-first vendors, and maintaining operating discipline while scaling AI features across the cloud portfolio. Near-term catalysts include detailed FY26 guidance, incremental Agentforce case studies, and updates on capital returns versus M&A priorities.

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