ServiceTitan, Inc. Q4 FY2026 earnings call

Company Milestone & Core Platform Strategy

• Surpassed $1 billion in annualized revenue run rate in Q4, marking the one-year anniversary of the company's IPO
• Core vision is to deliver a singular end-to-end operating system for trade contractors, covering all major workflows from demand generation to back-office operations, with embedded best practices to boost customer revenue and margins
• Leverages a 10+ year proprietary dataset of over $80 billion in 12-month transaction volume across millions of jobs to train AI, creating a data flywheel that improves product intelligence as more customers use the platform

AI and Max Agentic Operating System

• Launched Max, the first deployment of the company's agentic operating system, as a pilot in fall 2025. Early pilot customers have seen strong results: one customer saw 50% higher average ticket size and >50% YoY revenue growth in January, while another saw EBITDA margins improve from 18% to 30% and reduced office staff from 7 to 2
• On average, customers on Max will double their monthly subscription revenue when fully ramped. The company plans to double Max onboarding capacity in Q1 FY27 and expand broadly throughout the year
• Early results from the newly launched standalone virtual agent product (which handles inbound customer calls for contractors) are promising. Virtual agents are monetized as usage-based consumption revenue

Growth Initiatives in Vertical Markets

• Commercial: Newly launched construction and commercial CRM capabilities have been well-received, laying the foundation for go-to-market expansion in FY27. The company plans to enter complementary new trades and build market leading position in commercial
• Roofing: The vertical's implementation playbook, insurance, and estimating workflows have matured. Partner roofing consolidator Vertex grew a customer to over $600 million in revenue in under 3 years using Service Titan, laying the foundation for durable growth in exteriors

Organizational Updates

• Hired new Chief Technology and Product Officer Abhishek Mathur from Figma, who previously led AI development at Figma and held engineering roles at Meta and Microsoft. He will partner with leadership to deliver a step function improvement in product development velocity in FY27
• All internal departments are required to leverage AI to improve quality, efficiency, and speed. Internal AI use has already accelerated development velocity significantly

Service Titan reports total revenue split across two primary product/stream segments plus professional services for Q4 FY26: 1. Subscription Revenue: $192 million, growing 23% year-over-year, accounting for 75.6% of Q4 total revenue. Growth was led by strong performance in Pro products, commercial offerings, and new trade verticals. 2. Usage Revenue: $53 million, growing 22% year-over-year, accounting for 20.9% of Q4 total revenue. Growth benefited from strong FinTech utilization, partner ecosystem monetization (which is uncorrelated to GTV growth), and early revenue from newly launched virtual agents. 3. Professional Services Revenue: $8.9 million, accounting for 3.5% of Q4 total revenue. For full-year FY26, total company revenue was $961 million, growing 24% year-over-year, with subscription revenue growing 26% year-over-year. As of Q4 end, the company had ~10,800 total active customers, growing 14% year-over-year.

• For Q1 FY27: Total revenue is guided to $255 million to $257 million, and operating income is guided to $27 million to $28 million. GTV will benefit from one additional business day compared to prior year comparables
• For full-year FY27: Total revenue is guided to $1.11 billion to $1.12 billion, and operating income is guided to $128 million to $133 million
• The company maintains its 25% incremental operating margin target for FY27, after outperforming with 36% incremental margins in FY26 due to hiring timing and overperformance of usage revenue. Expense mix will shift modestly as the company invests more aggressively in AI inference and internal tooling
• Minimal contribution from Max and virtual agents is embedded in the current FY27 guidance, as both products are in early stages of rollout. The guidance includes a roll forward of existing Pro product growth expectations, with room for upward revision if scaling proceeds faster than expected
• Seasonality expectations: Q1 will have negative free cash flow due to annual bonus payments; Q2 is expected to be the seasonally strongest quarter for GTV; Q3 will see higher sales and marketing expenses due to the annual customer conference

• Extreme weather events (like the large Q4 ice storm that kept technicians off the road) can negatively impact near-term GTV performance, though delayed work typically creates latent demand that is realized in subsequent quarters
• Limitations in Max onboarding capacity may lead to some customers delaying purchases of existing Pro products while waiting for Max access, though management views this as a temporary tradeoff to ensure long-term product success
• New AI-native startups could enter the market given lower perceived barriers to entry from generative AI, though management believes its proprietary end-to-end data moat and existing customer distribution create unmatchable structural advantages
• Switching enterprise software is a major decision for contractors, creating a natural upper limit on annual sales growth that prevents overly aggressive sales capacity expansion without increasing long-term customer churn
• Forward-looking statements around AI product development and scaling are subject to execution risk, as Max is still in early stages of rollout and outcomes are still being validated at scale

Q: How did extreme cold weather impact Q4 results, and why did 2026 FY26 incremental margins hit 36% above the 25% target, and can this higher margin level continue? / A: Q4 had unusually warm overall temperatures but a late-quarter ice storm that pulled GTV growth down by ~300 bps, with latent storm demand realized in early February. The 2026 higher incremental margins came from two factors: usage revenue overperformed expectations, and the company was slightly behind planned hiring, which left excess unspent capital that boosted margins. For FY27, the company plans to make its largest ever R&D investment to capitalize on AI opportunities, so it is maintaining its 25% incremental margin target.

Q: What are the limiting factors for scaling Max, and what is driving the expected step function improvement in development velocity? / A: Management is following a rigid process: first confirm product-market fit and customer ROI, then focus on scaling. Early pilot results have validated strong ROI, so the company is now moving to the scaling phase, which focuses on improving the efficiency and speed of customer onboarding. The step function improvement in velocity comes from multiple compounding factors: AI has created a revolution in internal code production that enables faster development, new capabilities that were not possible before are now available, and these are amplified by Service Titan's existing proprietary dataset and end-to-end platform position. Management emphasizes the acceleration is tangible and already being felt across the business.

Q: Could new AI startups entering the market erode Service Titan's competitive position, and what data advantages does Service Titan hold that new entrants cannot replicate? / A: Management is closely monitoring new entrants but has not seen any impact on pipeline or demand to date. Service Titan is leveraging the same AI capabilities that new entrants use to accelerate its own development, and net-net the shift to AI is a positive for the company due to its structural advantages. New point solutions can deliver basic outcomes, but high-value automation requires cross-workflow data: optimizing demand generation requires end-to-end sales and margin data, optimizing quoting requires visibility into price books and inventory, all of which Service Titan has collected from 10+ years of running all customer workflows on its platform. This end-to-end data enables differentiated outcomes that new entrants cannot match.

Q: Could customers delay Pro product purchases while waiting for Max access due to limited capacity, and is this a concern? / A: Management acknowledges this is a possible second-order consequence of limited Max capacity, and that there are difficult tradeoffs to manage. However, the company prioritizes nailing product-market fit and delivering consistent ROI to every batch of Max customers, which is far more important long-term than any temporary near-term slowdown in Pro product sales.

Q: What is the outlook for usage revenue growing faster than GTV, and what is driving this? / A: A growing portion of usage revenue comes from partner ecosystem revenue share, which is not directly correlated to GTV growth. This was visible in Q4, when GTV grew slower than expected but partner revenue boosted usage growth. Standalone AI products like virtual agents are also usage-based, so early growth in these offerings further supports usage revenue outpacing GTV in FY27.