PT Lippo Cikarang Tbk, (LPCK) Fair Value & Analysis
Real Estate · ID · Market cap 2.5T IDR
Fair value as of: Jun 26, 2026
Analysis
PT Lippo Cikarang Tbk, (LPCK) currently trades at 500.00 IDR, while our model-based Fair Value estimate is 714.36 IDR — implying the stock looks roughly 42.9% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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
PT Lippo Cikarang Tbk, together with its subsidiaries, develops real estate and industrial estate projects in Indonesia. It operates through the Real Estate and Support Services segments. The company engages in the development, acquisition, sale, lease, and operation of apartment buildings, residential buildings, non-residential buildings such as galleries, storage facilities, private, malls, shopping centers, hospitals, conference halls, houses of worship, hotels, sports facilities, golf courses, clubs, restaurants, entertainment places, medical laboratories, pharmacies, office buildings, funeral activities, parking, and other supporting facilities. It also provides shuttle bus transportation services; management consulting services, which include the provision of advice, business guidance, and operational assistance for other organizational and management issues, such as strategic and organizational planning; financial decisions; marketing objectives and policies; human resource p…
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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.