ServiceTitan, Inc. (TTAN) Earnings

Management highlights

- Core Strategic Vision * Service Titans' long-term vision is to deliver an agentic operating system for the trades, which automates back-office and operational complexity, allowing technicians to focus on customer service and business owners to focus on growth outcomes. * Early customer results from ServiceTitan Max (the agentic platform) demonstrate significant ROI: early adopter EDS Air Conditioning and Plumbing saw 16 percentage point higher call booking rates, 9+ percentage point higher field close rates, 30% higher average ticket size, and 50% higher average revenue per technician, with nearly half of all jobs touched by Max's optimization engine. * Max includes 25 distinct agentic capabilities, only 7 of which were previously available as standalone Pro products; the remaining 18 are net new capabilities focused on lead generation, conversion, revenue optimization, and back-office orchestration. - Growth Vector Execution * The company's three 2027 priorities are executing on multi-year growth in enterprise, commercial, and roofing; building out Max and the agentic operating system; and accelerating organizational development velocity. * Max rollout progress: Q1 saw more than a doubling of the number of customer locations on Max, with another doubling targeted for Q2. Fully ramped Max customers average more than 10% of jobs fully automated (requiring only technician intervention in the field), and consistently outperform non-Max peers across all core funnel metrics. The company is currently prioritizing intentional, ROI-focused rollout over rapid scaling, with demand outpacing current onboarding capacity. * Virtual agents (a core AI monetization product) have seen strong early adoption, with recent addition of outbound calling and receptionist capabilities expanding the addressable market. - Internal Operational Improvements * The company added a new Chief Technology and Product Officer, who has built out an industry-leading R&D leadership team to accelerate innovation and efficiency. * AI tools are integrated across the full product development lifecycle: from customer feedback collection, design ideation, code creation, to bug detection and prevention in sandbox and production environments, significantly accelerating product development velocity.

Guidance

- Q2 FY27 Guidance * Total revenue expected in the range of $284 million to $286 million * Operating income expected in the range of $38 million to $39 million * GTV and usage revenue will benefit from 1 additional business day compared to the prior year Q2 - Full Year FY27 Guidance * Total revenue expected in the range of $1.13 billion to $1.14 billion, an upward revision from prior guidance * Operating income expected in the range of $142 million to $147 million * Incremental operating margins for the full year are now expected to exceed the initial target of 25%, an upward revision * Annual free cash flow is still expected to roughly approximate annual non-GAAP operating income for the full year * Usage revenue is expected to continue growing faster than GTV for the full year, as growth in AI usage products offsets the mix shift to lower-monetization commercial GTV - Long-Term Guidance Change * A new long-term non-GAAP tax rate of 18% has been adopted, applicable for FY27 through FY30

Segment performance

Service Titans reports three core revenue segments for Q1 FY27: - Subscription revenue: $202 million, growing 24% year-over-year, led by strong growth in pro products, commercial offerings, and early upside from Max. This segment accounts for 75.15% of total Q1 revenue. - Usage revenue: $58.5 million, growing 29% year-over-year. Growth is driven by higher on-platform FinTech monetization, and rapid expansion of ecosystem and virtual agent revenue. This segment accounts for 21.76% of total Q1 revenue. - Professional services revenue: $8.3 million, accounting for 3.09% of total Q1 revenue. Additional segment metrics: The enterprise customer segment (customers with annualized billings >$100,000) surpassed 2,000 total customers in Q1, represents over 60% of the company's total annualized billings, and is the fastest growing customer segment. Commercial is a core growing vertical, with product enhancements launched in Q1, though commercial GTV has lower monetization rates than residential. Roofing is another core growth vertical, with ongoing product development to harden trade-specific and insurance workloads to unlock further growth.

Risks & headwinds

- Weather is a major external risk factor that drives variability in GTV and revenue, as warmer early weather pulled demand into Q1, and a mild summer could result in lower than expected full year performance, with uncertain impact to seasonal demand patterns. - AI inference and Max development investments are expected to increase in the near term, with benefits realized later, which could pressure margins in the near to medium term before efficiency gains are realized. - Large-scale data center build-outs are creating competitive pressure for skilled trade labor, particularly in commercial, which could impact customer growth, though management currently does not expect a material impact to results and is monitoring the situation. - Scaling the Max rollout requires ongoing work to automate onboarding and reduce manual implementation work; current manual processes limit near-term scaling, and failure to improve scalability could slow Max adoption. - Product development for AI agent capabilities requires supporting dozens of niche production use cases that are required for mission-critical customer operations, and unaddressed use cases could hurt customer adoption and satisfaction.

Analyst Q&A

• Q: What key takeaways came out of the recent private equity symposium, and what is the growth contribution from private equity-backed customers? /

  A: Management noted that private equity sponsors and their portfolio trade companies are increasingly standardizing their operations on ServiceTitan, as the company’s end-to-end platform is the natural execution, orchestration, and interaction layer for trade businesses. The >2,000 enterprise customers (>$100k annualized billings) milestone is heavily concentrated with private equity partners, and this segment represents over 60% of total annualized billings, making it the fastest growing part of the business.

• Q: What is the cadence of Max location doubling beyond Q2, and is the constrained rollout driven by demand or onboarding capacity? /

  A: Management’s ultimate goal is to get all customers on Max, and the aggressive doubling cadence in the first half is intentional to lay a foundation for long-term durable growth. The company recently began onboarding new customers directly to Max (not just existing customers), which shows promising early signals. The current gating factor is intentional: management prioritizes nailing customer ROI and building scalable, efficient onboarding processes over maximizing near-term sales, and current demand outpaces onboarding capacity.

• Q: As more Max customers ramp usage, will higher AI token usage pressure gross margins? /

  A: Management explained that customer-facing AI capabilities for ServiceTitan are not as token-intensive as generative use cases like video or full code creation. Both Max and virtual agents are additive to total gross profit dollars, and so far usage has been consistent with the company’s expected gross margins at scale, with no material expected impact from ramp-up.

• Q: What is the outlook for net new customers starting directly on Max, and is Max acting as a new front door for growth? /

  A: Management noted that this is a very new, small-scale initiative, but the core thesis is that switching software is a natural time to deploy agentic AI at the same time. Unlike traditional software that requires heavy manual training and monitoring to drive utilization, agentic deployment from onboarding naturally drives near-100% utilization with much less effort. The company is testing this small-scale and will scale based on results.

• Q: What is the competitive landscape for AI in the trade software space, and how is ServiceTitan positioned relative to general-purpose headless AI tools? /

  A: Management notes that large customers are already experimenting with general-purpose AI tools, but these tools require access to trade business operational data and the ability to execute actions on that data to create value. ServiceTitan’s position as the end-to-end orchestration layer with access to all customer data and workflow places it uniquely to capture value from this trend. The company is prioritizing building direct AI functionality for customers today, but plans to eventually support integration with third-party AI tools as an orchestration layer.