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PT Sidomulyo Selaras Tbk (SDMU) Fair Value & Analysis

Industrials · ID · Market cap 74.9B IDR

Price85.00 IDR
Fair Value65.80 IDR
Upside-22.6%
Quality95/100
Evidence: Low Range 49.35 IDR – 82.25 IDR

Fair value as of: Jun 24, 2026

Analysis

PT Sidomulyo Selaras Tbk (SDMU) currently trades at 85.00 IDR, while our model-based Fair Value estimate is 65.80 IDR — implying the stock looks roughly 22.6% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: low).

About the company

PT Sidomulyo Selaras Tbk engages in the transportation of toxic and hazardous chemicals in Indonesia. The company is also involved in the transportation of toxic and hazardous chemicals, and crude. The company was founded in 1993 and is headquartered in Jakarta, Indonesia.

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Frequently asked questions

Is PT Sidomulyo Selaras Tbk (SDMU) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 65.80 IDR versus a price of 85.00 IDR — about −23% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SDMU?
Our 21-model fair value for PT Sidomulyo Selaras Tbk is 65.80 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 85.00 IDR.
What is the quality score of SDMU?
PT Sidomulyo Selaras 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.