Workday, Inc. (WDAY) Earnings

Management highlights

### Organizational & Strategic Reset - CEO Aneel Bhusri, returned to lead the company full-time 3 months ago, has refocused Workday on a startup growth mindset, emulating the approach Steve Jobs brought to Apple upon his return: fewer organizational layers, faster decision-making, clear ownership, and rewarding the best ideas regardless of source. - Simplified company priorities to three core focus areas: 1) Build and deliver the AI future; 2) Grow with existing customers; 3) Uphold company values. Named Joen Hellermark, founder of acquired AI firm Sana, as new Chief AI Officer to accelerate AI development. - Confirmed that customers do not seek to replace Workday's core transactional platform with internal or third-party solutions, and instead look first to Workday for AI tools for HR, finance, and adjacent business functions. AI Product & Platform Progress - Workday's core competitive advantage in enterprise AI is its "world model of work": a large-scale, 20+ year dataset of 1.4 trillion annual transactions and mapped work process patterns that provides unmatched context for generative AI, delivering enterprise-grade accuracy that competitors cannot replicate. - As of Q1, Workday has 20 organic AI agents in General Availability or Early Access, with over 4,000 customers using at least one organic agent — a doubling quarter-over-quarter. Key agent milestones: 14 million hiring processes supported by the recruiting agent (up 44% YoY), 1.1 million contracts analyzed via contract intelligence (up 53% quarter-over-quarter). - The Deployment Agent, which automates Workday implementation and configuration, is already delivering an estimated 30% reduction in implementation hours and cost, with a target of 50% reduction in future projects, removing a historic barrier to mid-market adoption. The self-service agent will launch to all eligible HCM and finance customers at the end of May. - Announced two new AI agents at the Sana AI Summit: Sana Travel Agent (unifies travel planning, booking, policy checks, and expense processing) and Sana for ITSM (automates IT workflows tied to employee lifecycle events that Workday already tracks, such as onboarding, offboarding, and team changes). - Workday maintains an open AI platform strategy, offering three flexible adoption paths for customers and partners: build custom AI agents using Workday's purpose-built tools and open APIs, plug Workday agents into existing third-party agent front-ends, or use Workday agents natively on the Sana platform. Go-To-Market & Operational Updates - Expansion deals that include AI are on average 50% larger than non-AI expansion deals, confirming that AI adoption drives deeper platform penetration. More than 25% of new ACV from customer expansions came from AI products in Q1. - The unified flex credit pricing model for AI (covering agents, APIs, and data cloud) is gaining rapid customer traction, and the mix of AI monetization via flex credits will grow throughout the year as new agents are added to the model. - International expansion milestones: opened new operations in Vietnam, launched EU-based data residency in Frankfurt to meet European data sovereignty requirements, and expanded the Workday Go fast-implementation program globally, now available in 17 European markets via direct and partner channels. - Partners sourced roughly 30% of net new ACV in Q1, with multiple new ecosystem milestones including the launch of Insperity's HR scale solution, bringing Workday to the PEO market for the first time. - Financial operational highlights: Non-GAAP operating income was $809 million (31.8% non-GAAP operating margin), operating cash flow grew 52% YoY to $696 million, and free cash flow grew 46% YoY to $616 million. Workday repurchased $1.6 billion of its own shares during the quarter.

Guidance

- Management reiterated full-year fiscal 27 subscription revenue guidance, maintaining the range of $9.925 billion to $9.95 billion, representing 12% to 13% year-over-year growth. - Q2 FY27 subscription revenue is expected to be approximately $2.455 billion, a 13% year-over-year increase, with 12-month CRPO growth expected between 13.5% and 14.5%. Q2 professional services revenue is projected to be $180 million, with a non-GAAP operating margin of approximately 30%. - Management upwardly revised full-year fiscal 27 non-GAAP operating margin guidance to 30.5%, an increase from prior guidance, driven by better than expected Q1 revenue performance and operational productivity gains from AI tools. - Full-year fiscal 27 operating cash flow guidance is maintained at $3.45 billion, with capital expenditures expected to be approximately $270 million, resulting in projected full-year free cash flow of $3.18 billion, a 15% year-over-year increase. The full-year non-GAAP tax rate is expected to be 19%.

Segment performance

Workday reports two core revenue segments for Q1 FY27: 1. **Subscription Revenue**: $2.354 billion, up 14% year-over-year. This segment contributes 92.6% of total company revenue, with 60% of subscription growth coming from customer expansions and 40% from net new business. Agentic AI products grew new ACV more than 200% year-over-year, and the segment is approaching $500 million in annual recurring revenue (ARR) from AI solutions. Workday Extend Pro, the platform for customer-built AI solutions, saw new ACV nearly double year-over-year. 2. **Professional Services Revenue**: $188 million, contributing 7.4% of total revenue. Total company revenue for the quarter was $2.542 billion, a 13% year-over-year increase. Geographic segment performance: - United States: $1.89 billion in revenue, up 13% year-over-year, contributing 74.4% of total revenue. - International: $649 million in revenue, up 16% year-over-year, contributing 25.6% of total revenue. EMEA is Workday's second largest region for the medium enterprise segment (500-3,500 employees), where new ACV grew more than 50% in the quarter.

Risks & headwinds

- The company noted that all forward-looking statements regarding AI product adoption, growth, and financial performance are subject to inherent risks and uncertainties that could cause actual results to differ materially from expectations, with additional detail provided in Workday's SEC filings including the fiscal 26 Form 10-K. - Customer adoption of new AI agents depends not only on technology performance but also on customers' internal workforce and business process transformation, which can create delays in full value realization. - There is investor concern around new competitive dynamics for additional functionality, as lower development costs from generative AI tools lead some customers to consider building custom capabilities rather than purchasing from Workday, though management believes its value proposition mitigates this risk. - Seat compression in the technology sector, a broader risk across the enterprise software industry, has impacted Workday's full-time equivalent (FTE) based growth, though management notes declines in tech sector FTE have been more than offset by growth in other industry segments, keeping overall FSE growth flattish.

Analyst Q&A

• Q: Investors are concerned that lower code-generation development costs will make building custom AI capabilities in-house a lower TCO option than buying from Workday. How does Workday stack up in this TCO comparison?

  A: Workday distinguishes between "lawful" AI agents that comply with enterprise security, governance, and business process rules, and "lawless" AI that bypasses these controls. No HR or finance customer wants ungoverned lawless AI. Workday offers three compliant solutions for customers: purchase its first-party agents with clear TCO, build custom solutions on Workday's platform via Extend Pro, or use third-party agents that leverage Workday's secure process framework, covering all customer use cases. The unique combination of Workday's world model of work dataset, deterministic business process logic, and deep embedding in existing business flows gives its first-party agents unmatchable value and TCO for core HR and finance use cases.

• Q: What implementation gaps or limiting factors do you see between AI demo performance and real customer value realization, and how do you address these?

  A: Workday avoids generic, low-ROI AI pilots by focusing exclusively on solving concrete, specific problems in end-to-end customer processes from hire-to-retire to record-to-report. The main challenge currently is meeting unexpectedly high inbound customer demand, so the company will provision the self-service agent to all eligible customers by default at the end of May to streamline access. Full value realization requires customer business process and workforce transformation, not just technology change, so Workday deploys forward-deployed AI consultants to guide customers through this organizational change alongside rolling out new technology.

• Q: How is Workday navigating the AI paradigm shift to maintain leadership, without falling victim to the innovator's dilemma? Will the company need to abandon existing business to lead?

  A: AI breaks down traditional competitive boundaries, and Workday is positioning itself as an AI challenger, not an incumbent defender. Workday can leverage its existing HR and finance data model to rapidly expand into adjacent markets like travel and ITSM at low development cost, using AI to unify existing data into new seamless customer experiences. The company is intentionally making multiple bets on new TAM expansion, and does not require every bet to succeed to generate meaningful growth. Playing it safe does not mean taking risks with security or governance; it means proactively expanding into new markets instead of only defending existing core business.

• Q: How does Deployment Agent compare to the prior Launch implementation program, and can it reduce implementation barriers and improve business seasonality?

  A: Deployment Agent is the next logical AI-powered step beyond the Launch methodology, applying automation to the entire implementation process, with a long-term goal of enabling $0 Workday deployment in one month. Deployment Agent is already delivering 30% faster implementation with lower cost for current projects, targeting 50% improvement for new projects, which will remove the migration cost and time barriers that have limited mid-market adoption. It also benefits existing customers, who can use it to self-service configuration changes without relying on external systems integrators, enabling faster internal change. The reduction in implementation time is expected to reduce seasonality constraints, allowing customers to sign and deploy deals later in the calendar year.