ServiceTitan, Inc (TTAN) Fair Value & Analysis
Technology · US · Market cap $7.2B
Analysis
ServiceTitan, Inc (TTAN) currently trades at $64.19, while our model-based Fair Value estimate is $55.30 — implying the stock looks roughly 13.8% overvalued today. We read business quality at 93/100 (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
ServiceTitan, Inc. provides an end-to-end cloud-based software platform in the United States, Armenia, and Canada. Its platform connects and manages a range of business workflows, such as advertising, job scheduling and management, dispatching, generating estimates and invoices, payment processing and others. The company offers ServiceTitan, a platform for contractors; FieldRoutes, pest control software; and Aspire, a business management software that offers real-time reports, precise data, accurate job costing for the landscape and clean industries. In addition, the company offers FinTech products that include payment processing and third-party financing solutions. It serves HVAC, plumbing, electrical, garage door, chimney sweep, roofing, irrigation, water treatment, septic, painting, pool service, landscape, lawn care, pest control, air duct cleaning, commercial food equipment, audio visual, alarm, appliance repair, residential remodeling, locksmith, refrigeration, handyman, gutte…
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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.