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LMAX (LMAX) Fair Value & Analysis

Energy · ID · Market cap 48.8B IDR

Price81.00 IDR
Fair Value84.45 IDR
Upside+4.3%
Quality84/100
Evidence: Medium Range 74.45 IDR – 94.46 IDR

Fair value as of: Jun 24, 2026

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Analysis

LMAX (LMAX) currently trades at 81.00 IDR, while our model-based Fair Value estimate is 84.45 IDR — implying the stock looks roughly 4.3% undervalued today. We read business quality at 84/100 (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: medium) — always confirm before acting.

About the company

PT Lupromax Pelumas Indonesia Tbk distributes and sells lubricating oil to the retail and automotive sectors in Indonesia. The company offers additive products, including engine additives, fuel additives, and aerosol. It also provides oil products, such as gasoline engine, motorcycle, diesel engine, transmission, and industrial oils. The company was founded in 2017 and is based in Tangerang, Indonesia.

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Frequently asked questions

Is LMAX (LMAX) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 84.45 IDR versus a price of 81.00 IDR — about +4% (undervalued). Model-based estimate, not financial advice.
What is the fair value of LMAX?
Our 21-model fair value for LMAX is 84.45 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 81.00 IDR.
What is the quality score of LMAX?
LMAX has a Quality Score of 84/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.