Intapp, Inc (INTA) Fair Value & Analysis
Technology · US · Market cap $1.7B
Fair value as of: Jun 24, 2026
Analysis
Intapp, Inc (INTA) currently trades at $21.93, while our model-based Fair Value estimate is $20.23 — implying the stock looks roughly 7.8% overvalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Intapp, Inc., through its subsidiary, Integration Appliance, Inc., provides AI-powered solutions in the United States, the United Kingdom, and internationally. It provides DealCloud that manages client relationships, prospective clients, investments, and current engagements, as well as provides customer relationship management, deal management, experience management, and relationship intelligence solutions. The company also offers compliance products that help firms thoroughly evaluate new business, onboard clients quickly, and monitor relationships for risk throughout their business lifecycle; and time solutions provides AI-enabled software solutions that include time capture, enhance billing, and facilitate compliance with client requirements. In addition, it provides collaboration products that offer intelligent client-centric teamwork with Microsoft 365, Teams, and SharePoint; a unified system for managing emails, documents, chats, and tasks; and Assist, an AI-driven transformat…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.