PT Elnusa Tbk (ELSA) Fair Value & Analysis
Energy · ID · Market cap 4.1T IDR
Fair value as of: Jun 25, 2026
Analysis
PT Elnusa Tbk (ELSA) currently trades at 570.00 IDR, while our model-based Fair Value estimate is 1,417 IDR — implying the stock looks roughly 148.7% 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 Elnusa Tbk provides oil and gas services in Indonesia. The company operates through Integrated Upstream Oil and Gas Services; Oil and Gas Support Services; and Energy Distribution and Logistics Services segments. It offers geophysical/seismic data, oil and gas drilling, and oilfield services; and oil country tubular goods, threading for oil and gas drilling, oil and gas data management, integrated information technology development, telecommunication, network, storage, and satellite telecommunications services. The company provides data and information on energy and mineral resources management services; very-small-aperture terminal-based communication systems; ship rental services and agents; pipe manufacturing and trading services; and trading, distribution, and marketing of oil and gas products. Further, the company distributes and trades in oil and chemicals; operates retail gas stations; and offers mechanical maintenance. The company was formerly known as PT Electronika Nusa…
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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.