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PT Cipta Selera Murni Tbk (CSMI) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 55.5B IDR

Price70.00 IDR
Fair Value20.53 IDR
Upside-70.7%
Quality94/100
Evidence: Low Range 15.40 IDR – 25.67 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Cipta Selera Murni Tbk (CSMI) currently trades at 70.00 IDR, while our model-based Fair Value estimate is 20.53 IDR — implying the stock looks roughly 70.7% overvalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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 Cipta Selera Murni Tbk engages in the fast-food restaurant business in Indonesia. The company serves its restaurant under TEXAS CHICKEN brand name. It is also involved in trading activities. PT Cipta Selera Murni Tbk was founded in 1983 and is based in Jakarta Pusat, Indonesia.

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Frequently asked questions

Is PT Cipta Selera Murni Tbk (CSMI) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 20.53 IDR versus a price of 70.00 IDR — about −71% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CSMI?
Our 21-model fair value for PT Cipta Selera Murni Tbk is 20.53 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 70.00 IDR.
What is the quality score of CSMI?
PT Cipta Selera Murni Tbk has a Quality Score of 94/100, 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.