IRPC Public Company (IRPSY) Fair Value & Analysis
Energy · US · Market cap $1.3B
Analysis
IRPC Public Company (IRPSY) currently trades at $6.21, while our model-based Fair Value estimate is $0.6600 — implying the stock looks roughly 89.4% overvalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
IRPC Public Company Limited, together with its subsidiaries, engages in petroleum and petrochemical business in Thailand, Singapore, and internationally. It offers refinery, lubricant, asphalt, olefins, aromatics, and other petrochemical products; liquefied petroleum gas, naphtha, gasoline, diesel, and Jet A-1 commercial aviation fuel; and high density polyethylene, polypropylene, acrylonitrile-butadiene-styrene, acrylonitrile styrene, polystyrene, and expandable polystyrene. The company also offers port services and storage tank services; water based products; ultra-high molecular weight polyethylene; acetylene black; and power and public utilities services. In addition, it is involved in the provision of asset management activities; operation of vocational schools; sale of oil products and gas; manufacture and sale of non-woven fabric products and medical consumables; production and distribution of fertilizer products; operates water filtration plants; industrial pneumatic system;…
Open the full interactive analysis →
Similar stocks
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.