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PT Master Print Tbk (PTMR) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 713B IDR

Price374.00 IDR
Fair Value114.08 IDR
Upside-69.5%
Quality95/100
Evidence: Low Range 85.56 IDR – 142.60 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Master Print Tbk (PTMR) currently trades at 374.00 IDR, while our model-based Fair Value estimate is 114.08 IDR — implying the stock looks roughly 69.5% overvalued today. We read business quality at 95/100 (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: low).

About the company

PT Master Print Tbk engages in the trading and rental of food, plastic, and protective packaging machinery and equipment in Indonesia. It offers shrink, protective, blister, and food packaging, as well as inspection and vacuum systems, absorbent pad, thermoforming and top lid seal films, tray sealer, and coding and marking. The company was founded in 2006 and is headquartered in Jakarta Pusat, Indonesia. PT Master Print Tbk operates as a subsidiary of PT Mitra Pack Tbk.

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Frequently asked questions

Is PT Master Print Tbk (PTMR) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 114.08 IDR versus a price of 374.00 IDR — about −69% (overvalued). Model-based estimate, not financial advice.
What is the fair value of PTMR?
Our 21-model fair value for PT Master Print Tbk is 114.08 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 374.00 IDR.
What is the quality score of PTMR?
PT Master Print Tbk has a Quality Score of 95/100, 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.