
Last 4 earnings calls · through Q2 FY2027
The bull case is that agentic AI sold into an existing base of large enterprises creates a new revenue stream on top of a stable core business.
Workday runs payroll and the books for large organizations, so customers renew at high rates and expansion within the base supplies most of the growth.
Management has raised its margin outlook twice while still funding AI investment, suggesting efficiency gains are absorbing the added spending.
Deployment agents that cut implementation time and cost could open the mid-market and widen the pool of buyers able to adopt the core platform.
The bear case is that the core subscription business is slowing, and management's own targets point to lower growth next year before AI revenue becomes material.
Agent usage is spreading much faster than the consumption pricing that turns it into revenue, so the financial benefit arrives well after the adoption numbers.
Large enterprise, federal and healthcare deals are taking longer to close, which holds back new business even where customer interest remains intact.
A returning chief executive is reworking priorities and integrating several recent acquisitions at once, and the results of that reset are not yet proven.
In short: AI agents sell well into the installed base, but overall subscription growth keeps slowing.
Management said AI products brought in more than a quarter of new ACV in the quarter, so agentic software is now a main driver of bookings rather than a side story.
The mid-market is where implementation cost and complexity block deals, so a standardized product with faster setup widens the base of buyers beyond large enterprises.
Workday compounded revenue at 17.2% a year from FY2021 to FY2026, and management now points to roughly 11% subscription growth for FY2028, so the base business is slowing faster than AI is adding.
A year ago management said public sector engagement stayed high through a government shutdown; now it says large deals in federal, state and local and healthcare are taking longer to close, which reduces the volume of new business.
In short: Margins and free cash flow are rising, while buybacks and acquisitions have drawn down the cash balance.
Management guided to roughly 30% for the year in February and now expects 31%, a sign that heavier AI spending is being paid for by efficiencies elsewhere in the business.
Free cash flow of $2.8 billion over the last twelve months is 28% of revenue, which funds repurchases and acquisitions without relying on new borrowing.
The diluted share count grew 5.2% over three fiscal years, so stock compensation keeps issuing shares that buybacks must first offset before per-share results improve.
In short: A single data model aids its AI pitch, but Oracle, SAP and AI-native startups contest the same budgets.
A year ago the CEO called the AI disruption threat overblown; now the company describes itself as an AI challenger moving into business travel and IT service management, which widens the market it sells into.
Gross revenue retention of 97% and wins that take business back from competitors show that replacing Workday is disruptive for customers, which supports pricing and gives new AI products a built-in audience.
Workday names Oracle and SAP as its primary competitors and also expects pressure from general-purpose AI agents, so pricing and win rates depend on staying ahead on product rather than on switching costs alone.
Workday is defending claims that its AI products enable discriminatory hiring decisions, which could bring legal costs and slow adoption of its recruiting agents among public sector and regulated customers.