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PT Fajar Surya Wisesa Tbk, (FASW) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 17.6T IDR

Price5,312 IDR
Fair Value5,345 IDR
Upside+0.6%
Quality95/100
Evidence: Low Range 4,009 IDR – 6,681 IDR

Analysis

PT Fajar Surya Wisesa Tbk, (FASW) currently trades at 5,312 IDR, while our model-based Fair Value estimate is 5,345 IDR — implying the stock looks roughly 0.6% 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: low) — always confirm before acting.

About the company

PT Fajar Surya Wisesa Tbk, together with its subsidiaries, engages in the manufacture and sale of packaging papers in Indonesia and other Asian countries. It offers coated duplex boards for use in light-weight packaging materials of pharmaceutical products, shoes, household goods, processed foods, and consumer electronics. The company also provides container board products, such as brown packaging paper that is used for the outer layers of corrugated sheets; fluting paper for the construction of carton boxes; and white liner board for industrial packaging and box making. It sells its products directly to industrial and consumer goods manufacturing companies. The company was founded in 1987 and is headquartered in Jakarta Pusat, Indonesia. PT Fajar Surya Wisesa Tbk operates as a subsidiary of Scgp Solutions (Singapore) Pte Ltd.

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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.