Humanica Public Company (HUMAN) Fair Value & Analysis
Technology · TH · Market cap 4.1B THB
Fair value as of: Jun 24, 2026
Analysis
Humanica Public Company (HUMAN) currently trades at 4.60 THB, while our model-based Fair Value estimate is 8.26 THB — implying the stock looks roughly 79.6% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: high) — always confirm before acting.
About the company
Humanica Public Company Limited provides human resource outsourcing and payroll services in the Southeast Asia, Thailand, and Indonesia. The company provides Workplaze HCM Core, a tool which manages employee records, organizational structures, and key HR processes; Workplaze OKR, a goal-setting frameworks for workplace; Workplaze Payroll, an automated payroll solution; Workplaze Time, a time management tool; Workplaze HR Training Management, a management tool for reskilling and upskilling; Workplaze Talent Management, a solution which align people and performance strategies; Workplaze HR Recruitment Management, a platform to plan workforce, post jobs across channels, manage applications, and collaborate with hiring teams; Workplaze Analytics & Reporting; Workplaze Benefits Management, a benefit management solution; Workplaze Mobile, a solution which provides comfort to perform HR tasks anytime and anywhere; and ERP, a solution which streamlines workflow and minimize mistakes, as wel…
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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.