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PT Satyamitra Kemas Lestari Tbk (SMKL) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 383B IDR

Price145.00 IDR
Fair Value206.47 IDR
Upside+42.4%
Quality95/100
Evidence: Medium Range 154.85 IDR – 258.09 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Satyamitra Kemas Lestari Tbk (SMKL) currently trades at 145.00 IDR, while our model-based Fair Value estimate is 206.47 IDR — implying the stock looks roughly 42.4% 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: medium) — always confirm before acting.

About the company

PT Satyamitra Kemas Lestari Tbk operates as an integrated carton packaging and logistics solutions company in Indonesia. It offers corrugated carton, pre-print corrugated, offset printing, and rigid boxes. The company was founded in 2001 and is headquartered in Tangerang, Indonesia. PT Satyamitra Kemas Lestari Tbk operates as a subsidiary of Pt Satyamitra Investindo Pratama.

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Frequently asked questions

Is PT Satyamitra Kemas Lestari Tbk (SMKL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 206.47 IDR versus a price of 145.00 IDR — about +42% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SMKL?
Our 21-model fair value for PT Satyamitra Kemas Lestari Tbk is 206.47 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 145.00 IDR.
What is the quality score of SMKL?
PT Satyamitra Kemas Lestari 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.