PT Mitra Pinasthika Mustika Tbk, through its subsidiaries, (MPMX) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 4.0T IDR
Fair value as of: Jun 25, 2026
Analysis
PT Mitra Pinasthika Mustika Tbk, through its subsidiaries, (MPMX) currently trades at 960.00 IDR, while our model-based Fair Value estimate is 1,790 IDR — implying the stock looks roughly 86.5% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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 Mitra Pinasthika Mustika Tbk, through its subsidiaries, engages in the distribution of two-wheel vehicle and spare parts under Honda brand primarily in Indonesia. The company operates through two segments: Distribution, Retail, and Aftermarket; and Insurance. It is involved in the sales of two-wheel vehicles and its supporting components motor vehicles trading; vehicles trading using software; computer consultant activities and other computer facility management; sales of four-wheel vehicles and its supporting components; distribution of oil lubricants; vehicles and motorcycles spare parts and accessories trading; and vehicles reparation and motorcycle maintenance. The company also provides general insurance services. PT Mitra Pinasthika Mustika Tbk was founded in 1987 and is headquartered in Jakarta, Indonesia.
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Frequently asked questions
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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.