PKSHA Technology Inc (PKSHF) Fair Value & Analysis
Technology · US · Market cap $539M
Analysis
PKSHA Technology Inc (PKSHF) currently trades at $17.40, while our model-based Fair Value estimate is $17.21 — implying the stock looks roughly 1.1% overvalued today. We read business quality at 91/100 (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
PKSHA Technology Inc. provides algorithmic solutions in Japan. The company offers demand forecasting and optimization, shelf allocation automation and optimization, and shift optimization solutions for retail and distribution industries; VIN recognition, parking DX, urban security, and mobile-related solutions for automotive and urban development industries; and fraud detection and credit AI scoring solutions for lending and banking industries. It also provides insurance fraud claims detection, business efficiency, and risk prediction solutions for insurance industry; learning history utilization, business automation, online calling solutions for education industry; and diagnostic aids, pharmaceutical marketing support, personalized medicine and personal health record utilization, and operational DX solutions for medical and healthcare industries. In addition, the company offers PKSHA ChatAgent, an AI-powered conversational automation solution; PKSHA FAQ, which enables customers to …
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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.