Salesforce Q4 FY 2026 Earnings Show Agentic AI Scaling, Guidance Steadies

Salesforce Q4 FY 2026 Earnings Show Agentic AI Scaling, Guidance Steadies

Analyst(s): Keith Kirkpatrick
Publication Date: February 27, 2026

Salesforce’s Q4 FY 2026 earnings highlight accelerating adoption of Agentforce and Data 360 across large enterprises, driving strong deal activity and record remaining performance obligations. However, management’s FY 2027 outlook points to a steadier growth profile as customers pace AI investments against budget discipline and proof-of-value requirements.

What is Covered in This Article:

  • Salesforce’s Q4 FY 2026 financial results
  • Agentforce and Data 360 adoption trends
  • Large enterprise deal momentum and RPO growth
  • AI platform usage metrics and monetization signals
  • Guidance and Final Thoughts

The News: Salesforce Inc. (NYSE: CRM) reported Q4 FY 2026 revenue of $11.2 billion, up 12% year-on-year (YoY), compared with Wall Street consensus of $11.17 billion. Subscription and support revenue reached $10.7 billion, growing 13% YoY. Adjusted income from operations was $3.8 billion, up 16% YoY, with an adjusted operating margin of 34.2%, compared with 33.1% a year earlier. Adjusted diluted earnings per share were $3.81 (Q4 FY 2025: $2.78), versus consensus expectations of $3.05. Remaining performance obligations totaled $72.4 billion, up 14% YoY, while current remaining performance obligations rose to $35.1 billion, up 16% YoY.

“Our performance makes us even more confident in our path to reaccelerate organic revenue growth in H2 FY 2027. By driving adoption of Agentforce and Data 360 across our platform, we are building a powerful engine that converts raw intelligence into enterprise work,” said Robin Washington, President and CFO of Salesforce. “Reflecting our strong trajectory, we’ve increased our authorization to $50 billion for share repurchases and increased our quarterly dividend, reinforcing our commitment to delivering significant shareholder value.”

Salesforce Q4 FY 2026 Earnings Show Agentic AI Scaling, Guidance Steadies

Analyst Take: Salesforce’s Q4 FY 2026 results reflect a continued shift from AI positioning toward operational deployment across core enterprise workflows. Management increasingly emphasized execution metrics, customer expansion, and production usage rather than experimental AI capabilities. The company’s messaging suggests customers are moving beyond pilots and integrating agents into revenue-generating and service-delivery processes. Record remaining performance obligations point to sustained long-duration commitments, even as near-term investor sentiment remains cautious. At the same time, guidance signals a measured pace of growth as enterprises balance AI ambition with budget discipline. Overall, the quarter reinforces Salesforce’s strategy of anchoring AI adoption to tangible operational outcomes.

Agentforce Adoption Shifts From Pilots to Production

Agentforce continued to scale meaningfully in Q4 FY 2026, with Salesforce closing more than 29,000 cumulative deals since launch and deal count rising 50% quarter-over-quarter. Annual recurring revenue for Agentforce reached $800 million, up 169% YoY, indicating growing monetization beyond early adopters. Accounts with Agentforce in production increased nearly 50% sequentially, suggesting faster transitions from trial to live deployment. More than 60% of Agentforce and Data 360 bookings came from existing customer expansions, underscoring cross-sell effectiveness within the installed base. Importantly, over 75% of Salesforce’s top 100 deals in the quarter included both Agentforce and Data 360. This pattern indicates Agentforce is increasingly positioned as a platform extension rather than an optional AI add-on.

Agentic Work Units Reframe How Salesforce Measures AI Value

Salesforce introduced Agentic Work Units as a new metric to quantify AI-driven task execution across its platform. To date, the company has processed more than 19 trillion AI tokens, converting them into 2.4 billion Agentic Work Units, including 771 million units delivered in Q4 alone. Management positioned this metric as a way to track completed enterprise actions such as workflow execution, record updates, and decision automation. This reframing moves AI discussion away from model consumption toward measurable business output. It also aligns AI usage more directly with productivity and operational efficiency outcomes.

While not a direct shift to true outcome-based pricing, it’s clear that Salesforce is recognizing the need to directly focus on return on investment from AI to justify broader deployments.

Large Enterprise Deals and RPO Signal Long-Term Commitment

Salesforce continued to see strength in large enterprise transactions, with deals above $1 million growing 26% YoY and deals exceeding $10 million increasing 33% YoY. Remaining performance obligations reached a record $72.4 billion, providing visibility into future revenue despite macro uncertainty. Current remaining performance obligations rose 16% YoY, reflecting sustained near-term demand. Industry-specific offerings generated $6.6 billion in annual recurring revenue, up nearly 20% YoY, indicating traction beyond horizontal CRM use cases. Management also highlighted expansion wins in IT service management and life sciences, pointing to competitive displacement. Collectively, these indicators suggest Salesforce remains embedded in mission-critical enterprise workflows.

Guidance and Final Thoughts

Salesforce initiated FY 2027 revenue guidance of $45.8 billion to $46.2 billion, representing approximately 10% to 11% YoY growth and broadly in line with consensus expectations. Management reiterated expectations for organic revenue reacceleration in the H2 FY 2027 as Agentforce and Data 360 adoption broaden. The outlook reflects a cautious tone as customers phase AI investments over longer decision cycles. While the market reacted negatively to the lack of near-term upside, the guidance emphasizes execution discipline over acceleration. Salesforce also reinforced its long-term target of $63 billion in revenue by FY 2030, including Informatica.

Taken together, Q4 FY 2026 delivered solid top-line growth, margin expansion, and record RPO, underscoring Salesforce’s ability to scale AI-driven offerings without sacrificing profitability. While near-term growth expectations remain measured, the combination of rising enterprise commitments, disciplined capital return, and expanding Agentforce adoption provides a stable foundation for reacceleration into FY 2027.

See the full press release on Salesforce’s Q4 FY 2026 financial results on the company website.

Declaration of generative AI and AI-assisted technologies in the writing process: This content has been generated with the support of artificial intelligence technologies. Due to the fast pace of content creation and the continuous evolution of data and information, The Futurum Group and its analysts strive to ensure the accuracy and factual integrity of the information presented. However, the opinions and interpretations expressed in this content reflect those of the individual author/analyst. The Futurum Group makes no guarantees regarding the completeness, accuracy, or reliability of any information contained herein. Readers are encouraged to verify facts independently and consult relevant sources for further clarification.

Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.

Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.

Other Insights from Futurum:

Salesforce Q3 FY 2026: AI Agents, Data 360 Lift Bookings and FY26 Outlook

Will Salesforce’s Latest Acquisition Provide Momentum For its Agentic Workflows?

Salesforce Launches Agentforce Commerce as AI Shopping Traffic Jumps 119%

Author Information

Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.

He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.

In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.

He is a member of the Association of Independent Information Professionals (AIIP).

Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.

Related Insights
Oracle Makes the Case for AI Inside Everyday Leadership Workflows
July 2, 2026

Oracle Makes the Case for AI Inside Everyday Leadership Workflows

Keith Kirkpatrick, Research Director at The Futurum Group, examines how Oracle Manager Edge embeds AI-powered coaching into Oracle Cloud HCM, bringing real-time guidance into managers' daily workflows and strengthening Oracle's...
Domino Data Lab From MLOps Platform to Governed AI Application Factory
July 2, 2026

Domino Data Lab: From MLOps Platform to Governed AI Application Factory

Nick Patience, VP and Practice Lead, AI Platforms at Futurum, examines Domino Data Lab's pivot to governed AI application delivery, its agentic AI governance framework, and what the strategy means...
Siemens and IFS Announce Alliance to Advance Industrial AI
July 2, 2026

Siemens and IFS Announce Alliance to Advance Industrial AI

Siemens and IFS have partnered to advance Industrial AI solutions, merging Siemens' industrial automation depth with IFS's AI-embedded ERP platform. The alliance targets asset-intensive industries as enterprise software demand accelerates....
Lakebase and LTAP Challenge Database Orthodoxy, Are Monoliths Finally Obsolete?
July 2, 2026

Lakebase and LTAP Challenge Database Orthodoxy, Are Monoliths Finally Obsolete?

Databricks revolutionizes analytical platforms through Lakebase and LTAP, unifying transactional and analytical workloads. Research shows 73.6% of organizations are increasing spend, signaling a major shift from legacy databases....
Shopify’s PyTorch Foundation Move Signals a Power Shift in Open Source AI for Commerce
July 2, 2026

Shopify’s PyTorch Foundation Move Signals a Power Shift in Open Source AI for Commerce

Shopify's Platinum membership in the PyTorch Foundation signals a shift toward community-governed AI frameworks, avoiding vendor lock-in as enterprises increasingly deploy generative AI in production....
How Anthropic and OpenAI Are Building Everywhere Ecosystems
July 1, 2026

How Anthropic and OpenAI Are Building “Everywhere Ecosystems”

Alex Smith, VP & Practice Lead, Ecosystems, Channels & Marketplaces at Futurum, shares insights on how Anthropic and OpenAI are building 'Everywhere Ecosystems' and the multidimensional go-to-market strategies designed to...

Book a Demo

Welcome

The vision behind everything in Futurum’s Custom Research practice is this: research should show you what is happening, what comes next, and what to do about it. It should be personal to each audience, easy for people to grasp, and structured so LLMs can reason over it accurately. And it should be fast and turnkey; you want answers now, not another project to carry for quarters.

Whether you are defining business, channel, or go-to-market strategy; evaluating vendors or justifying ROI; or commissioning research to fill an emerging market need, we have your back, with a program that answers your questions with the objectivity and credibility to drive real decisions.

To do it, we bring unmatched data to bear: Futurum research, surveys, and market projections; validated market feeds; ETR’s 15 years of insight from 10,000 technology decision-makers; G2’s buyer and user data; and what our analysts hear every day. Add leading primary collection, from AI-moderated voice interviews to surveys and analyst-led interviews, all turnkey, and every project comes out credible, nuanced, and actionable.

And we don’t just drop the results in your lap. For internal work, we provide analyst-led sessions, interactive dashboards, and a range of formats. For market-facing work, Futurum delivers turnkey activation and amplification that actually gets seen, by people and by LLMs, through our media and share of voice. This is research that moves decisions and markets.

We will meet you wherever you are, from a fast-turn brief to a multi-year program, and shape the work to your goals, timeline, and budget. The right program for your moment.

If any of this is useful, I would love to talk.

Benjamin Brown, VP Custom Research, Futurum Research

Benjamin Brown

VP, Custom Research · The Futurum Group

Newsletter Sign-up Form

Get important insights straight to your inbox, receive first looks at eBooks, exclusive event invitations, custom content, and more. We promise not to spam you or sell your name to anyone. You can always unsubscribe at any time.

All fields are required






Thank you, we received your request, a member of our team will be in contact with you.