工作日公司 (WDAY.US) 2026财年第四季度业绩电话会
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会议摘要
Workday forecasts FY27 with 12-13% subscription revenue growth, 30% non-GAAP operating margin, and $3.450 billion in operating cash flow. Emphasizes AI-driven innovation, international market expansion, and strategic acquisitions to fuel long-term growth and profitability.
会议速览
Workday's CEO announces the company's transition into Chapter 4, emphasizing innovation with AI to transform HR and finance, following periods of founding, hyper-growth, and operational excellence. The call highlights the importance of non-GAAP financial measures, forward-looking statements, and the start of the first quarter of fiscal 2027 quiet period.
The dialogue challenges the notion of AI replacing HR and ERP systems, emphasizing their complexity and deterministic nature. It envisions a future where AI enhances these systems, improving user experience, business process automation, and insights, leading to better outcomes and ROI.
Reflecting on past achievements, the focus shifts to future growth through agentic AI, with seamless integration of acquired solutions into core apps. Anticipating increased customer trust and satisfaction, the strategy highlights organic agent development, embedding AI for significant ROI, and reaccelerating growth for long-term success.
The dialogue highlights the transformative impact of AI on enterprise operations, emphasizing the development of AI agents for HR, finance, and sales processes. It showcases significant achievements, including 1.7 billion AI actions in FY26, over $100 million in new ACV from AI products, and the launch of Sana Core and Sana Enterprise for enhanced conversational AI capabilities. The company leverages AI to accelerate product innovation, with over 75% of software engineers using AI coding assistants, resulting in a 22% growth in engineering output. The strategy focuses on automating business processes and delivering an AI-first user experience to enhance productivity and efficiency across the enterprise.
Workday's Q4 highlights customer trust, expansion deals, and AI's pivotal role, with AI-inclusive transactions averaging 50% larger, driving growth with over 11,500 global customers.
Initial traction post-acquisition shows customers, including Accenture, adopting AI solutions for enhanced productivity and agility. Strategic relationships with entities like Boston's Children's Hospital and the State of New York Unified Court System are being formed. The introduction of Flex credits pricing model is aligning customer spend with value, with plans for continued growth in adoption and investment in customer base activation.
The dialogue highlights the strong momentum in net new medium enterprise deals, attributing roughly 60% of net new ACV to a few key customers. It discusses the acceleration of time to value through global expansion of Workday, emphasizing the role of partners in scaling international growth and enhancing platform value. Despite longer closing times for some large enterprise deals, the pipeline remains robust, and significant progress is noted in international markets, particularly in Canada, EMEA, ASEAN, and Japan. The strategy for FY 27 focuses on leveraging innovation for customer outcomes, broader adoption, and deeper platform commitments, positioning Workday as a pivotal player in modernizing HR and finance operations.
Workday reports Q4 subscription revenue of $2.360 billion, up 16%, with FY total at $8.833 billion, up 14%. AI solutions and deep trust customer relationships drive expansion. Strong gross revenue retention at 97%, Q4 operating cash flow at $1.28 billion, and free cash flow of $1.22 billion. Shares repurchased: $1.5 billion in Q4, $2.9 billion for FY. Cash and marketable securities: $5.4 billion. Headcount: 21,070 as of Jan 31.
A global workforce solutions provider outlines its financial outlook for FY 27, projecting subscription revenue growth of 12% to 13%, professional services revenue, and a non-GAAP operating margin of approximately 30%. The company highlights the impact of a diaa contract on Q4 revenue, anticipates a 5% sequential increase in subscription revenue for Q1, and emphasizes an accelerated AI investment strategy aimed at revolutionizing HCM and finance solutions, with a focus on long-term growth and profitability.
The dialogue explores the strategic vision for Workday's future, emphasizing the role of AI in distinguishing the company's offerings. The speaker outlines plans to leverage AI advancements to enhance product capabilities and market positioning, aiming to set Workday apart in a competitive landscape.
The dialogue highlights confidence in the company's robust core business, emphasizing rapid growth of acquired and organic AI solutions. The focus is on leveraging agentic technologies to achieve groundbreaking outcomes, with an optimistic outlook on future market adoption and innovation.
The dialogue outlines an ambitious vision for automating finance processes using AI, aiming for a 'lights out finance' model. This includes continuous transaction analysis, compliance testing, and optimization of contracts and bookings, all integrated into a seamless Sana AI user experience, blending back-end automation with front-end innovation.
A company reassures stakeholders about its conservative fiscal guidance for FY27, emphasizing optimism over agent-based product adoption, while acknowledging potential execution challenges and a delayed revenue impact from recent initiatives.
The company is prioritizing organic development and in-house agent creation for FY27, reducing the emphasis on M&A. While not ruling out opportunistic acquisitions, the focus remains on organic growth, with inorganic contributions expected to be minimal in the upcoming fiscal year's revenue guidance.
Discussion revolves around an unexpected $25 million sequential decline in subscription revenue in Q1, attributed to the non-recurring Diaa contract, seasonal effects, and timing of deal closures, despite strong retention rates. The conversation emphasizes the importance of understanding the nuances in revenue forecasting within a subscription model.
Discussed the company's stable core business and focus on reaccelerating growth through AI and agentic offerings. Emphasized the transition to a consumption-based model, similar to hyperscalers, and the potential upside from third-party applications leveraging the company's APIs. Anticipated strong performance in the second half of the year, setting up for an exceptional following year.
Discussion highlights positive developments in Europe, Asia, and Canada, emphasizing organic growth strategies and expectations for strengthening customer bases in key regions by 2027.
Discussion highlights how AI agents deliver efficiency gains by automating tasks, reducing labor costs, and solving complex business issues, leading to significant savings and new value scenarios for customers. Also touches on pipeline elongation impacts and positive outlook for the back half of the year.
Discusses the evolution from cloud to AI, emphasizing the importance of data models and API investments for SaaS companies. Highlights the need for ROI and productivity gains, exploring the role of AI agents in replacing human labor and improving business processes, while considering the future of displaced roles.
The dialogue highlights optimism regarding future margin improvements driven by AI investments, strategic growth initiatives, and the successful integration of organic and inorganic resources, with expectations of incremental margin upside as growth accelerates.
The dialogue highlights the strategy to streamline the sales transition following a key departure, emphasizing the empowerment of regional leaders for quicker decision-making and direct customer engagement. It underscores the move towards a flatter organizational structure to accelerate processes and the deployment of activation engines for faster market penetration, reflecting a commitment to agility and efficiency in sales operations.
The dialogue discusses strategies for monetizing third-party agents and AI access on the Workday platform, emphasizing a tiered pricing structure and consumption-based model to ensure value capture from data context, while reaffirming the 35% operating margin target for fiscal 28.
The dialogue discusses monetizing consumption via API calls and Data Cloud, emphasizing the value of modern agents exposed as APIs. It highlights the choice between raw APIs, data context, and premium agent APIs, which aggregate complex tasks across HR and finance, reflecting the shift towards open microsystems.
The dialogue explores the strategic balance between investing in growth and maintaining operating margins, emphasizing AI's role atop cloud services. It discusses the potential risks of third-party solutions leveraging domain expertise built on platforms like Workday, potentially diverting value creation. The conversation highlights the need for managing these risks while capitalizing on AI advancements for enhanced growth and profitability.
The dialogue underscores the strategic importance of constructing an AI-integrated ERP system, emphasizing the need for enterprise-specific knowledge, compliance, and process understanding. It highlights the role of APIs in opening up this intelligence layer, fostering ecosystem partnerships, and the dual strategy of developing proprietary applications while remaining agnostic to third-party involvement. The overarching theme is leveraging AI within a structured framework to create and capture value in HR and finance domains.
要点回答
Q:What are the key topics discussed by Neil during the Workday earnings call?
A:Neil discussed the company's transition through 'chapters' of development, the intent to return to innovation as a focus area, the transformation of HR and finance with AI, the nature of AI and its limitations in comparison to deterministic business processes, the hybrid world of deterministic enterprise apps and probabilistic AI, the integration of AI into Workday's stack, the role of AI in enhancing the user experience, and the upcoming general availability of Sana Core and Sana Enterprise.
Q:What does the fourth chapter of Workday signify, and what is its focus?
A:The fourth chapter of Workday signifies a return to focusing on innovation, which was the initial focus during the company's founding. This chapter emphasizes the use of AI to reimagine HR and finance, building on the company's core values and previous chapters of hypergrowth and operational excellence.
Q:How does Neil view the role of AI in the future of HR and ERP systems?
A:Neil believes that HR and ERP systems are not going to be replaced or relegated to the background by AI. He argues that these systems are complex to build and have unique requirements such as absolute accuracy, complex security models, and compliance with statutory and regulatory requirements worldwide. He suggests that AI's capabilities are probabilistic and not deterministic, which makes it unsuitable for tasks that require consistent, auditable outcomes. Instead, the future will involve a marriage between deterministic enterprise apps and probabilistic AI, leading to improved user experience, better business process automation, and deeper AI-generated insights.
Q:What is the vision for the future of enterprise apps according to Workday's perspective?
A:Workday envisions a future where deterministic enterprise applications and probabilistic AI work together, enhancing the user experience, improving business process execution, and delivering higher returns on investment for customers. This vision includes innovations such as prompt-based interaction, advanced business process automation, and AI-generated insights, all built on a foundation of trust and reliability from managing critical data.
Q:What is the status of AI integration within Workday's products?
A:Workday has experienced accelerating adoption of AI across its solutions, with strong Q4 performance and seamless integration of AI into its core stack, as demonstrated with the acquisition of SambaNova (SA). The company is building a hybrid world where new applications are sold to the customer base, and existing customers leverage AI through agents both organically and inorganically.
Q:How does Workday plan to grow its business in the coming fiscal years?
A:Workday plans to grow its business in the coming fiscal years by continuing to thrive with its core enterprise apps, HR, finance, and student, while also focusing on selling new applications to the customer base. Growth will also come from the agents built on top of Workday, which includes both organic development and inorganic growth.
Q:What does Neil consider to be the key to Workday's success?
A:Neil considers the investments in agentic AI to be the key to Workday's reaccelerated growth, increased customer satisfaction, and long-term leadership. He believes these investments will enable the company to achieve its goals and is optimistic about the future.
Q:What is the role of AI in Workday's products and how is it being received by customers?
A:AI is being integrated into Workday's products to change how work gets done, providing transformative power for HR and finance. AI actions are embedded within the Workday platform, resulting in significant business impact and customer value. Many customers have already adopted AI-generated agents, with some experiencing a 25% reduction in HR tickets and a 20% increase in employee productivity. Additionally, Sana Core and Sana Enterprise have been released, providing conversational AI capabilities within and beyond Workday to enhance user engagement.
Q:What are the key indicators of customer trust in Workday mentioned in the speech?
A:The key indicators of customer trust in Workday mentioned in the speech include high retention rates and the expanding use of the platform year after year.
Q:What role did AI play in customer expansion deals in Q4?
A:AI played an increasingly meaningful role in customer expansion deals, being involved in roughly half of the transactions and expansion deals that included AI were nearly 50% larger on average.
Q:What is the significance of the 's.a.' mentioned in paragraph 2?
A:The significance of 's.a.' in paragraph 2 is not clearly specified within the provided text. It may refer to a product or service, but the context is unclear.
Q:What are the names of some customers that have adopted the new Flex credits pricing model?
A:Some customers that have adopted the new Flex credits pricing model include Accenture, Nike, and Merck.
Q:What are the details regarding net new medium enterprise deals and their impact on ACV in FY 26?
A:Net new medium enterprise deals generated roughly 60% of net new ACV in FY 26, which helped to accelerate time to value and support Workday's global expansion efforts.
Q:How is Workday performing in international markets, and what role do partners play?
A:Workday is making good progress in Canada, EMEA, ASEAN, and Japan, investing in local talent, product localization, and new routes to customers through workday resellers. Partners play an important role in scaling, with 25% of Q4 net new ACV sourced through the partner ecosystem.
Q:What are the priorities for the Workday team in the upcoming fiscal year according to the speech?
A:The priorities for the Workday team in the upcoming fiscal year include turning innovation into tangible outcomes for customers, fostering time to value, and broadening platform commitments.
Q:What are the expectations for professional services revenue in Q1 and the full fiscal year?
A:The expectation for Q1 FY 27 professional services revenue is approximately $710 million. For the full fiscal year, the anticipated professional services revenue is not specified, but it is part of the total revenue growth forecast.
Q:What is the vision for 'lights out finance' mentioned in the speech?
A:The vision for 'lights out finance' involves full automation of key processes across the finance suite, including HR, with a focus on AI-driven continuous compliance autopilot. This entails testing and verifying transactions, optimizing them, and ensuring correct valuations and discount rates in supply chain management. It aims to bring together back-end automation and AI front-end innovation under an Sana AI user experience.
Q:How does the company's guidance for next year reflect on their views regarding the impact of their AI offerings and execution issues?
A:The company's guidance for next year appears fairly conservative and slightly below market expectations, which reflects their view that the AI agency offerings may take some time to be fully integrated into their customer base. Additionally, execution issues in the fourth quarter are being accounted for in the guidance. There is optimism about the potential of AI agents, especially from the flex credits model moving towards a consumption model, but these are considered more of a second half initiative.
Q:Is the M&A strategy going to be less prominent and how does it relate to the company's focus on organic growth?
A:The M&A strategy is not being entirely dismissed, but it is taking a backseat as the company is leaning heavily on organic development and the development of organically built agents. The focus is primarily on these organic developments, but the company will remain opportunistic and may consider acquiring exciting companies like Asana or Paradox if the opportunity arises.
Q:What is the expected contribution of inorganic growth to the company's revenue目标 in the upcoming fiscal year?
A:In terms of inorganic growth, it is not a significant component of the company's guidance for the upcoming fiscal year. Any substantial inorganic contributions would be communicated as they impact the overall growth trajectory, as was done last year. For the current outlook, no significant inorganic contributions are expected.
Q:What caused the discrepancy in the revenue guidance for the fourth quarter when compared to the previous call?
A:The discrepancy in the revenue guidance for the fourth quarter was due to the exclusion of the DIAA contract from the forecast for Q1 and the natural seasonal component affecting Q1 revenues. Also, some deals that pushed from Q4 impacted the sequential comparison in Q1. The Diaa contract had a benefit in Q4 and was not expected to continue into Q1.
Q:What is the company's stance on the sequential decline in subscription revenue and how does it relate to customer retention?
A:The company acknowledges the sequential decline in subscription revenue but emphasizes that it is primarily due to the Diaa contract impact and not customer retention. Customer retention remains high at 97%, and the focus is on executing well in Q1. The company hasn't changed its guidance philosophy, and the impact of Diaa is not expected to continue in Q1.
Q:What is the focus of the company's efforts in terms of growth and how does the adoption of AI fit into this strategy?
A:The company is focused on reaccelerating growth, seeing AI as a significant opportunity to achieve this. Neil highlights that this is a rare opportunity to be part of two technology waves (client server and AI) and believes AI will be instrumental in driving the company's growth.
Q:What is the speaker's outlook on the company's growth and transformation into a consumption platform?
A:The speaker is optimistic about the company's growth, particularly due to the introduction of organic agents which are in early access and will transition to a consumption-based model. This change is seen as a material shift from the previous freemium model and is expected to lead to a strong finish to the year and set up an amazing following year. The company plans to become a consumption platform similar to hyperscalers, which will also apply to third-party integrations that leverage their APIs based on the flex credit consumption model.
Q:Can you provide an update on the company's international expansion efforts?
A:The company's international build-out has seen progress, with solid growth in Europe, Asia, and particularly in Southeast Asia and India. The Canadian business is also performing very well. The focus is on driving these markets and these efforts are expected to continue to bear fruit in 2027. The speaker anticipates that the organic agents will help reignite growth in the customer base in Europe, Australia, New Zealand, and parts of Asia, including Japan.
Q:What impact are the new AI agents having on the company's customers, especially in terms of growth and economic profiles?
A:The new AI agents have impacted the company's customers by improving growth, with some experiencing efficiency gains by transferring labor costs into software costs. The self-science agent has seen early success, reducing case volume by more than 20%, and the payroll agent is now going into general availability, which is an organic development aimed at improving efficiency. Additionally, the AI models are solving unsolved business problems like contract intelligence and accounting, optimizing spending and providing real net savings. Both types of agents deliver ROI and true business returns.
Q:How does the speaker compare the current transition to AI for SaaS companies to the transition from client-server to cloud 20 years ago?
A:The speaker believes that while the transition from client-server to cloud involved completely discarding old architecture, the transition to AI is different as it builds on cloud technology. Cloud companies are moving towards AI, and AI leaders like Anthropic, Google, and OpenAI all run on Workday, making it orthogonal to the previous transition since it's about data, not processes. The speaker suggests that companies need to ensure they have the right data model for AI, invest in APIs, and identify cost savings for customers.
Q:Why is the company focusing on investments in AI despite the expectation of decreased operating margins?
A:The company is focusing on investments in AI because it believes in the growth story and sees potential for increased operating margins with reaccelerated growth. The aim is to leverage AI capabilities to grow the business and improve efficiencies. Although the focus on investments may initially lead to decreased operating margins, the belief is that these investments will pay off in the future as the organic agents work with inorganic ones and as new products like Sana improve the user experience and expand into new areas.
Q:How is the company handling the departure of key personnel like Patrick Blair, the former head of sales?
A:The company is working through the transition caused by key personnel departures, including Patrick Blair's role as head of sales. Specific details on how the company is managing these changes were not provided in the transcript.
Q:What changes are being implemented in the organization structure, and what is the expected impact?
A:The organizational structure is being flattened with Patrick moving on, and regional leaders with confidence in the speaker's ability to drive business forward will report directly to him. The focus is on AI, speed, decision-making, and urgency to move faster and enable decisions at the customer level. The deployment of AI also facilitates the creation of activation engines to drive consumption and deployment with speed.
Q:How does the speaker plan to monetize third-party applications and integrate Data Cloud?
A:The speaker plans to monetize third-party applications by implementing a consumption model tied to API calls, with pricing driven by flex credits. For richer information, Data Cloud is available also on flex credits, providing context to third-party agents. This approach allows for a variety of pricing options, including the ability to aggregate agents and consume premium APIs that offer differentiated services.
Q:What is Workday's strategy for growth and how will it impact operating margins?
A:Workday's strategy for growth involves investing more in the current fiscal year, with a focus on driving growth rather than exclusively operating margins. The company expects to stay within the previously highlighted growth range of 5 to 12% but aims to surpass it through these investments. At the next financial analyst update, the company will provide an assessment of where growth and operating margins are expected to be.
Q:How does Workday plan to manage the risk of vendors or customers building solutions outside of Workday?
A:Workday plans to manage the risk of vendors or customers building solutions outside of Workday by leveraging its API layer, which will eventually become equivalent to the agentic layer. This API layer includes the intelligence, metadata, security model, data model, and business process framework. The company emphasizes that its business process framework encapsulates 20 years of HR and financial expertise, which is invaluable and not easily replicated by AI alone. By providing a robust intelligent layer, Workday aims to remain a key partner in the ecosystem, ensuring that customers and vendors have an HR and finance system for AI that's integrated with the larger intelligent system.

Workday, Inc.
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