Intapp(INTA) - 2026 Q2 - Earnings Call Transcript

Financial Data and Key Metrics Changes - Cloud ARR grew to $434 million, up 31% year-over-year, representing 81% of total ARR of $535 million [4][17] - SaaS revenue reached $102 million, up 28% year-over-year, while total revenue was $140 million, up 16% year-over-year [4][18] - Non-GAAP gross margin improved to 78.1%, up from 76.7% a year ago, and non-GAAP operating income increased to $27.7 million from $18.9 million [20][17] - Free cash flow for the quarter was $22.2 million, with cash and cash equivalents at $191.2 million [20] Business Line Data and Key Metrics Changes - SaaS revenue now represents 73% of total revenue, while license revenue decreased by 9% year-over-year to $25.4 million [18] - Professional services revenue totaled $12.3 million, down 7% year-over-year [18] - The number of clients generating at least $100,000 in ARR increased to 834, up from 728 a year ago [20] Market Data and Key Metrics Changes - The partner ecosystem, particularly with Microsoft, played a significant role in driving growth, with over half of the largest wins executed jointly with Microsoft [8][19] - The company is gaining traction in newer markets across various verticals and global locations [8] Company Strategy and Development Direction - The company continues to execute its vertical AI roadmap, focusing on increasing AI adoption in highly regulated industries [5][4] - There is a strong emphasis on expanding the partner ecosystem, which includes over 145 curated data technology and services partners [8] - The company aims to drive AI, cloud adoption, and modernization across all industries served, leveraging its subscription revenue model and industry-specific cloud platform [15][14] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about growth opportunities, citing strong quarterly results driven by new client additions and account expansions [4][14] - The company anticipates continued demand for its AI capabilities and compliance solutions, particularly in the legal and accounting sectors [10][11] - Management noted that conversations with clients have shifted from curiosity to experimentation with AI technologies, indicating a positive trend in adoption [47] Other Important Information - The company authorized a $200 million share repurchase program, reflecting confidence in long-term business value [19] - Upcoming events include an Investor Day and the Intapp Amplify program, where significant announcements regarding AI innovations are expected [22][85] Q&A Session Summary Question: Positioning in light of Anthropic news - Management clarified that their focus is on the business of law rather than contract review, emphasizing their unique value proposition in professional financial services [27][30] Question: Balancing third-party partnerships and proprietary data - Management highlighted their ecosystem strategy, ensuring firms can safeguard proprietary information while leveraging third-party data for better decision-making [33][34] Question: Motivation for AI offerings - The primary motivations for clients adopting AI include efficiency and the ability to access comprehensive information that would be cost-prohibitive to assemble manually [39][40] Question: Customer experimentation with AI tools - Management noted that while clients are experimenting with AI tools, they are likely to continue relying on specialized providers for comprehensive solutions [42][43] Question: Impact of Microsoft partnership - The partnership with Microsoft has been beneficial in shortening sales cycles and facilitating larger enterprise deals [51] Question: Guidance for full year revenue - Management reiterated their cloud-first strategy and indicated that revenue dynamics are influenced by ongoing migrations to cloud solutions [58] Question: AI budget allocation among clients - Many firms are allocating specific budgets for AI, which has positively impacted the company's sales [66] Question: Pricing models and AI monetization - The company is exploring various pricing models, including consumption-based pricing, to align with client value perception [75][76]