PT Radiant Utama Interinsco Tbk, (RUIS) Fair Value & Analysis
Energy · ID · Market cap 126B IDR
Fair value as of: Jun 25, 2026
Analysis
PT Radiant Utama Interinsco Tbk, (RUIS) currently trades at 195.00 IDR, while our model-based Fair Value estimate is 303.51 IDR — implying the stock looks roughly 55.6% 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 Radiant Utama Interinsco Tbk, together with its subsidiaries, provides various support services in Indonesia. It operates through Operating Support Services, Inspection Services, Offshore Services, and Others segments. The Operating Support Services segment provides human resources, training, repair and maintenance, car rent, and integrated base management services for oil and gas industry. The Inspection Services segment engages in the voluntary and statutory inspection, non destructive testing, and environmental survey services, as well as oil country tubular goods. The Offshore services segment is involved in the operation of a mobile offshore production unit and local shipping services. The Others segment offers agency, construction, building management, and other services. It also provides equipment exploration services and local shipping services. The company was founded in 1984 and is headquartered in Jakarta, Indonesia.
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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.