PT Colorpak Indonesia Tbk, (CLPI) Fair Value & Analysis
Basic Materials · ID · Market cap 459B IDR
Fair value as of: Jun 25, 2026
Analysis
PT Colorpak Indonesia Tbk, (CLPI) currently trades at 1,720 IDR, while our model-based Fair Value estimate is 3,788 IDR — implying the stock looks roughly 120.2% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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 Colorpak Indonesia Tbk, together with its subsidiary, PT Colorpak Flexible Indonesia, operates in the ink, and paint and printing ink industries in Indonesia. The company operates through four segments: Gravure, Film, Adhesive, and Coating. It provides flexible and cigarette packaging inks; environmental friendly inks; and PVC leather coatings. The company also trades in films, such as BOPP, PET, NYLON, and MPET films; solvent base and solventless adhesives; and plastic resins. In addition, it offers New Unicom, a polyurethane base ink; Ultima, an alcohol base lamination ink for OPP and polyester; Lamiop for opp extrustion; ALPHA for surface printing; Hunter for foil, paper, and board; and Roto Shrink for PVC sleeves. Further, the company engages in general trading of chemical materials and products, or industrial chemicals. The company was incorporated in 1988 and is headquartered in Tangerang, Indonesia. PT Colorpak Indonesia Tbk is a subsidiary of Ink Color International Pte. …
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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.