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PT Siwani Makmur Tbk (SIMA) Fair Value & Analysis

Basic Materials · ID · Market cap 22.1B IDR

Price50.00 IDR
Fair Value10.91 IDR
Upside-78.2%
Quality89/100
Evidence: Low Range 8.28 IDR – 13.34 IDR

Fair value as of: Jun 25, 2026

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Analysis

PT Siwani Makmur Tbk (SIMA) currently trades at 50.00 IDR, while our model-based Fair Value estimate is 10.91 IDR — implying the stock looks roughly 78.2% overvalued today. We read business quality at 89/100 (high quality), in the Basic Materials 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 Siwani Makmur Tbk provides equipment maintenance and repair services. The company was formerly known as PT Van Der Horst Indonesia, Tbk and changed its name to PT Siwani Makmur Tbk in 2000. PT Siwani Makmur Tbk was founded in 1985 and is headquartered in Central Jakarta, Indonesia.

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Frequently asked questions

Is PT Siwani Makmur Tbk (SIMA) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 10.91 IDR versus a price of 50.00 IDR — about −78% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SIMA?
Our 21-model fair value for PT Siwani Makmur Tbk is 10.91 IDR (as of Jun 25, 2026), built from audited fundamentals. The current price is 50.00 IDR.
What is the quality score of SIMA?
PT Siwani Makmur Tbk has a Quality Score of 89/100, 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.