Kumwell Corporation (KUMWEL) Fair Value & Analysis
Industrials · TH · Market cap 843M THB
Fair value as of: Jun 24, 2026
Analysis
Kumwell Corporation (KUMWEL) currently trades at 2.10 THB, while our model-based Fair Value estimate is 2.68 THB — implying the stock looks roughly 27.6% 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
Kumwell Corporation Public Company Limited engages in the production and distribution of electrical equipment, graphite moulds, metal powders, and ground wires in Thailand and internationally. The company offers grounding systems comprising exothermic welding products, ground rod and accessories, grounding components, MEG, and grounding conductors; and lightning protection systems comprising lighting protection components, air terminal and lighting conductors, cables, and lighting poles. It also provides surge protective devices for low voltage power supply systems, information technology components and equipment, photovoltaic systems, and LED lighting systems, isolating spark gaps, and smart IoT surge protective devices, surge counters, and lightning counters; smart lightning management system; lightning warning system; fiber optic detection system; and safety for healthcare food; as well as engages in antenna renting for providing lighting information. It serves electricity, energ…
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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.