BIO-key International, Inc (BKYI) Fair Value & Analysis
Industrials · US · Market cap $4.2M
Fair value as of: Jun 25, 2026
Analysis
BIO-key International, Inc (BKYI) currently trades at $4.75, while our model-based Fair Value estimate is $12.67 — implying the stock looks roughly 166.7% undervalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
BIO-key International, Inc. develops and markets fingerprint identification biometric technology and software solutions, and enterprise-ready identity access management solutions for commercial, government, and education sectors in the United States and internationally. It offers BIO-key PortalGuard and PortalGuard IDaaS solutions, a customer-controlled and neutral-by-design cloud-based identity platform that allows customers to integrate with any cloud or on-premise SaaS application, services, and cloud host, as well as windows device authentication through IAM platform. The company's solutions enable its customers to secure their workforces and student populations; and make their partner networks more collaborative. In addition, it provides BIO-key VST and WEB-key products; and civil and large-scale ID infrastructure solutions that develop finger-based biometric technology. Further, the company offers finger scanners for enterprise and consumer markets under SideSwipe, PIV Pro, Ec…
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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.