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S. Pack & Print Public Company (SPACK) Fair Value & Analysis

Consumer Cyclical · TH · Market cap 348M THB

Price1.54 THB
Fair Value1.91 THB
Upside+24.0%
Quality95/100
Evidence: High Range 1.43 THB – 2.38 THB

Fair value as of: Jun 24, 2026

Analysis

S. Pack & Print Public Company (SPACK) currently trades at 1.54 THB, while our model-based Fair Value estimate is 1.91 THB — implying the stock looks roughly 24.0% 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

S. Pack & Print Public Company Limited, together with its subsidiary Sahakij Packaging Co., Ltd., operates an offset printing business in Thailand. It manufactures and sells corrugated and duplex board packaging products. The company was founded in 1982 and is headquartered in Songkhla, Thailand. S. Pack & Print Public Company Limited is a subsidiary of Oji Holdings Corporation Company Limited.

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Frequently asked questions

Is S. Pack & Print Public Company (SPACK) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 1.91 THB versus a price of 1.54 THB — about +24% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SPACK?
Our 21-model fair value for S. Pack & Print Public Company is 1.91 THB (as of Jun 24, 2026), built from audited fundamentals. The current price is 1.54 THB.
What is the quality score of SPACK?
S. Pack & Print Public Company 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.