PT Indomobil Sukses Internasional Tbk (IMAS) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 3.4T IDR
Fair value as of: Jun 24, 2026
Analysis
PT Indomobil Sukses Internasional Tbk (IMAS) currently trades at 845.00 IDR, while our model-based Fair Value estimate is 728.88 IDR — implying the stock looks roughly 13.7% overvalued today. We read business quality at 90/100 (high quality), in the Consumer Cyclical 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: high).
About the company
PT Indomobil Sukses Internasional Tbk engages in the integrated automotive business in Indonesia. The company operates through Automotive, Financial Services, Car Rental and Logistics, and Others segments. It distributes vehicles and spare parts, as well as fuel, assembles vehicles, manufactures automotive parts/components, and provides after-sales services, vehicle financing, car rental, used car trading, logistics, non-formal education services, and other related supporting services, as well as acts as a trademark license holder. The company's products include two-wheel and four-wheel vehicles, buses, trucks, and heavy equipment. In addition, it is involved in the rental and building management activities, operation of gas stations, mining, plantation, and forestry contracting business. Further, the company provides e-learning, education, manpower, digital advertising, and data processing services, and automotive services, such as dealership, workshop, and financing services. Addi…
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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.