PT Panca Budi Idaman Tbk, (PBID) Fair Value & Analysis
Consumer Cyclical · ID · Market cap 3.5T IDR
Fair value as of: Jun 24, 2026
Analysis
PT Panca Budi Idaman Tbk, (PBID) currently trades at 468.00 IDR, while our model-based Fair Value estimate is 885.39 IDR — implying the stock looks roughly 89.2% 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 Panca Budi Idaman Tbk, together with its subsidiaries, produces and distributes plastic bag finished products in Indonesia and internationally. The company operates through three segments: Plastic Resin, Plastic Packaging, and Other. It offers polyethylene, polypropylene, and high density polyethylene plastic bags, as well as heavy-duty sacks and packaging products, including food wrapping papers, cake boxes, plastic ropes, rubber bands, and straws. The company sells its products under the Pluit, Tomat, Bangkuang, Jeruk, Cabe, 222, Wayang, Gapura, Sparta, Liberty, Dayana, PB, and other brand names through retailers, semi-wholesalers, and wholesalers. It exports its products to the United Kingdom, Germany, the Netherlands, Spain, the United Arab Emirates, Nigeria, the United States, Taiwan, and other countries. The company was founded in 1979 and is headquartered in Tangerang, Indonesia. PT Panca Budi Idaman Tbk operates as a subsidiary of PT Alphen Internasional Corporindo.
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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.