Intellicheck, Inc (IDN) Fair Value & Analysis
Technology · US · Market cap $82.8M
Fair value as of: Jun 24, 2026
Analysis
Intellicheck, Inc (IDN) currently trades at $4.21, while our model-based Fair Value estimate is $1.26 — implying the stock looks roughly 70.1% 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
Intellicheck, Inc., a technology company, provides on-demand digital identity validation solutions for KYC, fraud, and age verification needs in North America. It validates both digital and physical identities for financial services, fintech companies, BNPL providers, e-commerce and retail commerce businesses, and law enforcement and government agencies. The company also offers commercial identification services, such as Intellicheck identity service, an identity solution; validating the ID; matching the person to the ID; and determining the risk score through IDN-Mobile, IDN-Portal, IDN-Direct, and IDN-Capture elements. In addition, it offers data collection device software products for use in commercially available data processing devices, including credit card terminals, PDAs, tablets, laptops, desktops, mobile phones, and point-of-sale terminals; and instant credit application kiosk software applications for financial service companies and retail stores. It serves banking, finte…
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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.