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PT Hotel Fitra International Tbk, (FITT) Fair Value & Analysis

Consumer Cyclical · ID · Market cap 417B IDR

Price368.00 IDR
Fair Value237.56 IDR
Upside-35.4%
Quality95/100
Evidence: Low Range 178.17 IDR – 296.94 IDR

Fair value as of: Jun 24, 2026

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Analysis

PT Hotel Fitra International Tbk, (FITT) currently trades at 368.00 IDR, while our model-based Fair Value estimate is 237.56 IDR — implying the stock looks roughly 35.4% overvalued today. We read business quality at 95/100 (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 Hotel Fitra International Tbk, together with its subsidiaries, operates and manages hotel in Indonesia. The company operates Hotel Fitra and Fitra Convention Hall. It also provides rental of multipurpose spaces, meeting packages, weddings, exhibitions, and large-scale banquets. In addition, the company is involved in the tourism business. The company was incorporated in 2014 and is based in Majalengka, Indonesia.

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Frequently asked questions

Is PT Hotel Fitra International Tbk, (FITT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of 237.56 IDR versus a price of 368.00 IDR — about −35% (overvalued). Model-based estimate, not financial advice.
What is the fair value of FITT?
Our 21-model fair value for PT Hotel Fitra International Tbk, is 237.56 IDR (as of Jun 24, 2026), built from audited fundamentals. The current price is 368.00 IDR.
What is the quality score of FITT?
PT Hotel Fitra International 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.