Harn Engineering Solutions Public Company (HARN) Fair Value & Analysis
Industrials · TH · Market cap 1.2B THB
Fair value as of: Jun 24, 2026
Analysis
Harn Engineering Solutions Public Company (HARN) currently trades at 2.04 THB, while our model-based Fair Value estimate is 2.80 THB — implying the stock looks roughly 37.3% 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: high) — always confirm before acting.
About the company
Harn Engineering Solutions Public Company Limited, together with its subsidiaries, wholesales, retails, repairs, rents, leases, and installs fire protection system and suppression products in Thailand and internationally. The company operates through six segments: Fire Protection Products and Project; Sanitary and Air-Conditioning System; Refrigeration System; Digital Printing System; Building-IoT Solutions; and Products of Medical 3D Printing Systems. It offers fire protection and safety solutions, including sprinklers, fire hose cabinets, floor control valves, pump rooms, and fire extinguishers; air-conditioning and sanitary solutions, such as chillers, cooling towers, PICVs, air handling and fan coil units, and variable refrigerant flows; and refrigeration solutions comprising compressors, condensers, evaporators, and expansion valve/devices. The company also provides digital printing solutions and products, which include inkjet, thermal transfer over, thermal inkjet, and desktop…
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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.