J.R.W. Utility Public Company (JR) Fair Value & Analysis
Industrials · TH · Market cap 1.3B THB
Fair value as of: Jun 24, 2026
Analysis
J.R.W. Utility Public Company (JR) currently trades at 1.75 THB, while our model-based Fair Value estimate is 2.09 THB — implying the stock looks roughly 19.4% 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
J.R.W. Utility Public Company Limited engages in the design, procurement, construction, and installation of electrical power, and telecommunication and information technology systems in Thailand. It operates in two segments, Contract Services and Sales of Electronics Equipment. The company is involved in the construction of high voltage transmission line systems; construction and installation of high-voltage substations and related equipment; construction work to change overhead power lines to underground power lines; and infrastructure planning, setting up the core network, software and application system designing, and setup of other equipment services. It also offers repairing and maintaining electrical and telecommunication systems, and information technology equipment. In addition, the company engages in the contractor, consultation, installation, repair, inspection, trading, and distribution of tools, equipment, and materials relating to electricity, civil, mechanical, electro…
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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.