The Hackett Group (HCKT) Fair Value & Analysis
Technology · US · Market cap $262M
Fair value as of: Jun 24, 2026
Analysis
The Hackett Group (HCKT) currently trades at $10.49, while our model-based Fair Value estimate is $10.28 — implying the stock looks roughly 2.0% 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: high).
About the company
The Hackett Group, Inc. operates as an intellectual property platform-based generative artificial intelligence strategic consulting and executive advisory digital transformation in the United States, Europe, and internationally. The company offers Hackett AI XPLR, an enterprise-wide Gen AI assessment, ideation and solution design platform; XT, a Gen AI"enabled business transformation acceleration platform; AIXelerator, a platform designed to support enterprise application implementation and modernization engagements; Ask Hackett and Hackett Connect, a Gen AI"assisted knowledge and insight capability that enables Hackett associates to support delivery of executive advisory and applied intelligence programs; Quantum Leap, a software-as-a-service platform, and Digital Transformation Platform, a platform that translate benchmark insight into actionable execution steps; and ZBrain, a Gen AI engineering and agentic workflow build capability. It also provides Gen AI"enabled delivery platfo…
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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.