Peerapat Technology Public Company (PRAPAT) Fair Value & Analysis
Basic Materials · TH · Market cap 338M THB
Fair value as of: Jun 24, 2026
Analysis
Peerapat Technology Public Company (PRAPAT) currently trades at 0.8000 THB, while our model-based Fair Value estimate is 1.26 THB — implying the stock looks roughly 57.5% undervalued today. We read business quality at 93/100 (high quality), in the Basic Materials 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
Peerapat Technology Public Company Limited, together with its subsidiaries, manufactures and distributes powdered detergent and cleaning chemicals under the PEERAPAT brand in Thailand, Vietnam, Cambodia, and internationally. It operates through Manufacture and Distribution of Cleaning Chemicals; Distribution of Energy Saving Equipment and Services; Distribution of Kitchen Products and Services; and Distribution of Swimming Pool Products and Services segments. The company offers laundry products, such as washing, bleaching, alkali builder, degreasing, water conditioner, and fabric softener products, as well as powder and water detergents; foam, clean in place products, disinfectants, lubricants, and general cleaning products; and kitchen products, such as dishwashing liquids and drying agents, etc., as well as imports and distributes automatic container washing machines under the STEWARD brand. The company also distributes chemicals for automatic container washing machines; manufactu…
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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.