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PT Ulima Nitra Tbk (UNIQ) Fair Value & Analysis

Energy · ID · Market cap 264B IDR

Price102.00 IDR
Fair Value204.05 IDR
Upside+100.0%
Quality95/100
Evidence: High Range 153.04 IDR – 255.07 IDR

Fair value as of: Jun 25, 2026

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Analysis

PT Ulima Nitra Tbk (UNIQ) currently trades at 102.00 IDR, while our model-based Fair Value estimate is 204.05 IDR — implying the stock looks roughly 100.0% undervalued today. We read business quality at 95/100 (high quality), in the Energy 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: high) — always confirm before acting.

About the company

PT Ulima Nitra Tbk provides mining and mining equipment rental services. The company operates through Mining Services; Vehicle, Truck and Heavy Equipment Rental; and Others segments. It also engages in coal mining operations. PT Ulima Nitra Tbk was founded in 1992 and is headquartered in Palembang, Indonesia.

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Frequently asked questions

Is PT Ulima Nitra Tbk (UNIQ) undervalued?
As of Jun 25, 2026, our model estimates a fair value of 204.05 IDR versus a price of 102.00 IDR — about +100% (undervalued). Model-based estimate, not financial advice.
What is the fair value of UNIQ?
Our 21-model fair value for PT Ulima Nitra Tbk is 204.05 IDR (as of Jun 25, 2026), built from audited fundamentals. The current price is 102.00 IDR.
What is the quality score of UNIQ?
PT Ulima Nitra 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.