Chennai Petroleum Corporation (CHENNPETRO) Fair Value & Analysis
Energy · IN · Market cap ₹165B
Fair value as of: Jun 29, 2026
Analysis
Chennai Petroleum Corporation (CHENNPETRO) currently trades at ₹1,102, while our model-based Fair Value estimate is ₹2,874 — implying the stock looks roughly 160.7% undervalued today. We read business quality at 97/100 (high quality), in the Energy 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
Chennai Petroleum Corporation Limited produces and supplies petroleum products in India. The company offers liquefied petroleum gas, naphtha, motor gasoline and spirit, kerosene, aviation turbine fuel, automotive high-speed and high flash diesel, light diesel oil, and bunker and non-bunker fuel oil. It also provides lube products, such as paving bitumen, lube oil base stocks, and extracts. In addition, the company offers paraffin wax, mineral turpentine oil, food grade and pharma grade hexane, petrochemical feedstocks, micro crystalline wax, sulphur, pet-coke, propylene, poly butene feedstock (PBFS), methyl ethyl ketone feedstock, and kerosene supply. Further, it provides asphalt, linear alkyl benzene feedstock, butene-2, lean butene, lean PBFS, furnace oil, isrosene, ISRO naphtha, propylene glycol and polyols, poly iso-butylene, NATO diesel, JP-5 fuel for fighter jets, and missile fuels. The company was formerly known as Madras Refineries Limited and changed its name to Chennai Pet…
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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.