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FY2026 Q4
Improving
Salesforce, Inc. earnings call
Buzzberg read
AgentForce/Data360 ARR reached $2.9B, up over 200%
Salesforce reported strong Q4/FY26 results, with total revenue growth of 10% YoY and record CRPO. The outperformance was driven by AgentForce ARR hitting $800M and significant expansion in large deals. Management raised FY30 guidance to $63B and announced a $50B buyback program, signaling strong confidence in the agentic AI transition. FY26 Q4 revenue was $11.2B (+12% YoY), and full-year revenue was $41.5B (+10% YoY). CRPO growth of 16% YoY to $35.1B, or 13% in constant currency, was in line with guidance.
Buzzberg read AgentForce/Data360 ARR reached $2.9B, up over 200% Salesforce reported strong Q4/FY26 results, with total revenue growth of 10% YoY and record CRPO. The outperformance was driven by AgentForce ARR hitting $800M and significant expansion in large deals. Management raised FY30 guidance to $63B and announced a $50B buyback program, signaling strong confidence in the agentic AI transition. FY26 Q4 revenue was $11.2B (+12% YoY), and full-year revenue was $41.5B (+10% YoY). CRPO growth of 16% YoY to $35.1B, or 13% in constant currency, was in line with guidance. Read full analysisCollapse analysis
Salesforce reported strong Q4/FY26 results, with total revenue growth of 10% YoY and record CRPO. The outperformance was driven by AgentForce ARR hitting $800M and significant expansion in large deals. Management raised FY30 guidance to $63B and announced a $50B buyback program, signaling strong confidence in the agentic AI transition. FY26 Q4 revenue was $11.2B (+12% YoY), and full-year revenue was $41.5B (+10% YoY). CRPO growth of 16% YoY to $35.1B, or 13% in constant currency, was in line with guidance.
- AgentForce ARR reached ~$800M, up 169% YoY, with 29,000 deals closed in its first 15 months. Data360 ARR, including Informatica, exceeds $2.9B.
- The company announced a $50B share repurchase authorization and a 5.8% increase in quarterly dividend.
- FY27 guidance is set at $45.8-$46.2B revenue (10-11% growth) and 34.3% non-GAAP operating margin. FY30 revenue target was raised to $63B.
AI Revenue$0.8BReported
Revenue$11.201B+9% QoQ
EPS$3.81+17% QoQ
AI Gross margin$2.9BReported
6 grounded callouts
What matters now
The highest-signal changes from the call.
Guidance
Management expects organic revenue reacceleration in H2 FY27
Guidance
FY30 revenue target raised to $63 billion
Show 3 more callouts
Buybacks
Board expands share repurchase authorization to $50 billion
Demand
US Army awarded Salesforce up to $5.6B contract
AI
AgentForce attach rate is high in top deals
Reported period
Actuals
| Metric | Reported | Change |
|---|---|---|
| AI Revenue | $0.8B | Reported |
| Revenue | $11.201B | +9% QoQ |
| EPS | $3.81 | +17% QoQ |
| AI Gross margin | $2.9B | Reported |
| Gross margin | 77.61% | Reported |
| Operating margin | 21.88% | Reported |
Forward-looking
Forward guidance
| Metric | Period | Range | Midpoint | Status |
|---|---|---|---|---|
| Operating margin | FY2027 | 34.3% | 34.3% | Initiated |
| Revenue | FY2027 | $45.8B–$46.2B | $46B | Initiated |
| Revenue | FY2030 | $63B | $63B | Initiated |
| Revenue | FY2027 Q1 | $11.03B–$11.08B | $11.055B | Initiated |
AI, capex & demand read
Management read
Upbeat
Management was celebratory and confident, pointing to record performance, raising the FY30 revenue target, and using current 'stock price dislocation' to expand buybacks.
Management AI read
Management argued AgentForce is becoming a standalone, high-growth category, citing 29,000 deals in 15 months, $2.9B AgentForce/Data360 ARR, and a new AWU metric to show agents complete work, not just consume tokens. They see a hybrid monetization model — premium SKUs, seat expansion, and flex credits — with Salesforce's data stack and Slack as the engagement layer giving them durable differentiat
Investment and capacity
Management said FY27 includes targeted investments in Hyperforce third-party infrastructure for trust/security, ramping AE capacity, and scaling FDEs to drive adoption, partly funded by efficiency gains from running Salesforce as an 'agentic enterprise.' No capex dollar amount was disclosed.
all 18 named companies below
Companiesreturns since call
Customers
Customers
Jason Lemkin
An example of an agent-powered sales deal, showing demand for agentic tools in SMB software.
Evidence
“The first one with AgentForce was Freshworks.”
Customers
Marc Benioff
Amazon is a major enterprise customer, adopting Salesforce's agentic platform.
Evidence
“The biggest brands in the world are choosing Salesforce to lead their agentic transformation. Companies like Amazon, Ford, AT&T, Moderna, GM, Pfizer, so many.”
Customers
Marc Benioff
Pfizer is consolidating on Salesforce for life sciences, moving away from Microsoft's Viva.
Evidence
“they're leaving Viva, the purgatory of Viva, including AstraZeneca, Novartis, Takeda, and of course, Albert at Pfizer.”
Customers
Marc Benioff
Sunrun is adopting Salesforce's ITSM product, a competitive win against ServiceNow.
Evidence
“I especially loved five customers who got to leave the purgatory of ServiceNow like Sunrun, Cornerstone, CoolSys, and there's others too”
Partners
Partners
Marc Benioff
Demonstrates Slack's agentic capabilities to a key partner and customer; highlights interoperability and cooperation.
Evidence
“I'm having drinks with Anil. And I just am trying to like... Give him a demo of Slackbot.”
MISTRAL
Partners
Marc Benioff
Salesforce is a major customer of Mistral models, consuming tokens at scale.
Evidence
“whether it's Anthropic or OpenAI or Mistral or Llama, all of them.”
ANTHROPIC
Partners
Marc Benioff
Salesforce states it is now one of the largest consumers of LLM tokens in the world, having processed over 19 trillion tokens, validating that its platform is the engine converting AI into enterprise work. — This points to massive, scalable demand for foundational LLMs but also gives Salesforce significant bargaining power over pricing with model providers like Anthropic and OpenAI.
Evidence
“We love Anthropic. We love Dario, Daniela. I tweeted about what they did yesterday. Incredible demo.”
OPENAI
Partners
Salesforce states it is now one of the largest consumers of LLM tokens in the world, having processed over 19 trillion tokens, validating that its platform is the engine converting AI into enterprise work. — This points to massive, scalable demand for foundational LLMs but also gives Salesforce significant bargaining power over pricing with model providers like Anthropic and OpenAI.
Marc BenioffCompetitors
Competitors
Salesforce's most premium AgentForce SKUs (A4X, One Edition) new bookings nearly tripled quarter-over-quarter, signaling very strong demand for high-end agentic AI tools. — This indicates a major shift in enterprise AI spending towards agentic platforms, potentially at the expense of traditional SaaS seat licenses and other AI tools.
Marc BenioffSupply chain
Supply chain
Salesforce's most premium AgentForce SKUs (A4X, One Edition) new bookings nearly tripled quarter-over-quarter, signaling very strong demand for high-end agentic AI tools. — This indicates a major shift in enterprise AI spending towards agentic platforms, potentially at the expense of traditional SaaS seat licenses and other AI tools.
Robin WashingtonExternal signals
Supply-chain alpha · 4returns since call
Salesforce's most premium AgentForce SKUs (A4X, One Edition) new bookings nearly tripled quarter-over-quarter, signaling very strong demand for high-end agentic AI tools.
Salesforce states it is now one of the largest consumers of LLM tokens in the world, having processed over 19 trillion tokens, validating that its platform is the engine converting AI into enterprise work.
Salesforce sees customers like Wyndham and SharkNinja achieving direct business results from AI agents (e.g., 200bps increase in direct bookings, 250k agent engagements), not just pilots, indicating production-level ROI.
Salesforce is internally using its own agents to reach previously untouched leads, with Miguel's team qualifying 50,000 leads in a week, showcasing the tangible impact of AI on go-to-market efficiency.
Methodology & coverage
Management-only analysis. All 18 validated company mentions are shown. Reported actuals and forward guidance are kept separate. Public evidence is limited to eight short attributed quotes. AI-generated analysis can be incomplete or wrong; verify important claims against the original source.