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ServiceTitan (TTAN) Q1 FY27 earnings call: guidance and Q&A

Earnings call· Apr 2026 (Q1 FY27)· Information Technology· Jun 4, 2026

Source: earnings call transcript

Executive summary

ServiceTitan Q1 FY27 — Strong Revenue Growth and Record Operating Margins Driven by Max Adoption

ServiceTitan delivered a strong Q1 FY27, driven by robust revenue growth and record operating margins, as the company continues to execute on its vision of building an agentic operating system for the trades. The Max platform is seeing accelerated adoption and delivering significant ROI for early customers, while internal AI tooling is enhancing organizational velocity. Management is focused on scaling Max adoption and maintaining a disciplined approach to investments, leading to an improved full-year outlook despite some Q1 tailwinds.

Highlights

5
  • Total revenue grew 25% year-over-year to $268.8 million.

  • Non-GAAP operating margin reached 15.2%, an improvement of 770 basis points year-over-year.

  • Non-GAAP platform gross margin improved by 160 basis points year-over-year to 81.3%.

  • Customers with annualized billings greater than $100,000 surpassed 2,000, representing over 60% of annualized billings and the fastest-growing segment.

  • The number of locations on Max more than doubled in Q1 and is expected to double again in Q2.

Concerns

3
  • Q1 GTV benefited from a roughly 150 basis points tailwind due to an additional business day and another 150 basis points from weather.

  • Q1 operating income overperformance was partially driven by the timing of certain expenses, which are expected to normalize.

  • Free cash flow was negative $9.6 million in Q1, though an improvement from negative $22.3 million in the prior year.

Guidance & targets

CategoryTargetConfidence
Total Revenue
$284 million to $286 million
high materiality
High
Operating Income
$38 million to $39 million
high materiality
High
Total Revenue
$1.13 billion to $1.14 billion
high materiality
High
Operating Income
$142 million to $147 million
high materiality
High
Incremental Operating Margins
higher than our initial target of 25%
medium materiality
High
Non-GAAP Tax Rate
18%
medium materiality
High
Usage Revenue Growth vs. GTV
grow more quickly than GTV
medium materiality
Medium

Segment performance

SegmentRevenueYoYQoQMargin
Enterprise (>$100K ARR customers)
This segment is heavily concentrated with private equity partners and is a key growth driver for the company.
Total customers: >2,000Share of annualized billings: >60%Growth: fastest-growing segment
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TTAN operating KPIs by quarter

TTAN operating KPIs stated on its earnings calls, by fiscal quarter
KPI Jan 2026 Q4 FY26This call Apr 2026 Q1 FY27 Jul 2026 Q2 FY27Change vs prior quarter
Gross transaction volume (GTV)
$19.8B Q4 gross transaction volume, or GTV, was $19.8 billion, representing 16% year-over-year growth. Source: earnings call transcript
$21.7B Q1 gross transaction volume or GTV was $21.7 billion, representing 23% year-over-year growth. Source: earnings call transcript
$26.8B Q2 gross transaction volume, or GTV, was $26.8 billion, up 17% year-over-year. Source: earnings call transcript
+23.5%

Operating figures the company stated on at least two of the calls shown, checked against each call's transcript. Click a figure to read the sentence. A dash means it was not stated that quarter.

Product announcements

ProductTypeDetails
Speed to Leadlaunch
Inbound Call Booking Automationlaunch
Auto Inventory Replenishmentlaunch
Invoice Protectionlaunch
Invoicing Agentslaunch
Equipment Systemslaunch
Enhanced CRM Capabilitieslaunch
Outbound Calling (Virtual Agents)launch
Receptionist Capabilities (Virtual Agents)launch

Risks & headwinds

Timing of expenses normalizing Throughout FY27

Q1 overperformance partially due to lower costs from timing

Mitigation:Company plans to reinvest behind strength, but expects timing of expense growth to normalize and incremental investments in Max and inference.

Weather impact on GTV seasonality Q2 FY27 and summer months

Q1 benefited from ~150 basis points tailwind due to unusually early start to cooling season

Mitigation:Management is not taking a differentiated view on weather for guidance, assuming a consistent summer with prior years, but acknowledges potential pull-forward from Q2 if summer is milder.

Labor disruptions from data center build-outs Medium to long-term

Huge tidal wave of work coming in from data centers for commercial segment

Mitigation:Not anticipating meaningful impact to business or customers' businesses for the foreseeable future, but monitoring closely as it's a fast-moving situation.

Q&A highlights

What were the key insights from your private equity symposium regarding ServiceTitan's role and future, especially with AI?

Ara highlighted ServiceTitan's mandate to help operators thrive and sponsors earn higher returns by delivering AI for the trades, particularly for large operators. He emphasized the platform's end-to-end nature (execution, orchestration, interaction layer) as the natural destination for automation, leveraging data and ecosystem advantages, and reiterated excitement for AI's future impact.

“our job as the operating system for the trades is to help our operators thrive and, of course, to help sponsors earn even higher returns. And that is our mandate, and our mandate is to deliver AI for the trades, particularly for the largest operators.”

asked by Josh Baer · answered by Ara Mahdessian

2 min read 6 chapters

Detailed narrative

Building the Agentic Operating System for Trades

ServiceTitan is actively developing an 'agentic operating system' for the trades, aiming to transform contractor operations. This system leverages AI to automate complex workflows, allowing technicians to focus on customer service and owners on business outcomes. The platform orchestrates lead generation, appointment booking, and conversion into revenue, with AI agents and humans working seamlessly together to enhance efficiency and job satisfaction.

Max Platform Driving Significant Customer ROI

The ServiceTitan Max platform is demonstrating substantial value for early adopters. For instance, E.D.S. Air Conditioning & Plumbing, a Max customer, reported a 16-point increase in call booking rates, a 9-point increase in field close rates, and a 30% increase in average ticket size year-over-year.

These improvements compounded to a 50% increase in average revenue per technician, with nearly half of their Q1 jobs touched by the optimization engine, enabling significant scaling without additional overhead.

Strategic Growth Vectors and Enterprise Momentum

ServiceTitan continues to execute on its multiyear growth strategies in the enterprise, commercial, and roofing segments. The company achieved a significant milestone by surpassing 2,000 customers with annualized billings exceeding $100,000. This enterprise cohort now accounts for over 60% of ServiceTitan's annualized billings and remains its fastest-growing customer segment, highlighting strong adoption among larger operators.

Accelerated Internal Velocity Through AI in R&D

The company is focused on accelerating its organizational velocity by building a 'software factory' where AI agents play a central role in code development. This involves leveraging AI across the entire product development lifecycle, from collecting user feedback and ideation to code creation, bug detection, and prevention. This approach aims to deliver more value to customers faster and accelerate the pace of product development.

Rapid Max Rollout and Virtual Agent Adoption

ServiceTitan more than doubled the number of locations on Max in Q1 and anticipates doubling them again in Q2, driven by strong demand. Every fully ramped Max customer is utilizing at least one fully automated job, with over 10% of jobs fully automated on average.

Additionally, virtual agents, including newly introduced outbound calling and receptionist capabilities, are experiencing strong early customer adoption, expanding the addressable opportunity for job automation.

Q1 Financial Performance and Expense Management

ServiceTitan's Q1 financial results exceeded expectations, with strong revenue and operating income. This overperformance was primarily due to higher-than-expected Gross Transaction Volume (GTV), which benefited from an additional business day and favorable weather, combined with lower costs due to timing. The company plans to reinvest these gains into Max and AI inference, while still expecting full-year incremental operating margins to exceed initial targets.

Summary of the company's earnings call; see how call summaries are prepared. Not investment advice.