Asian Energy Services Limited (ASIANENE) Fair Value & Analysis
Energy · IN · Market cap ₹18.0B
Fair value as of: Jun 29, 2026
Analysis
Asian Energy Services Limited (ASIANENE) currently trades at ₹368.30, while our model-based Fair Value estimate is ₹154.99 — implying the stock looks roughly 57.9% overvalued today. We read business quality at 97/100 (high quality), in the Energy 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: high).
About the company
Asian Energy Services Limited provides services to the energy, mineral, coal, and power sectors primarily in India. The company operates through Oil and Gas, and Mineral and Other Energy Sectors segments. It offers seismic services, including a national seismic program, carpet 3D, seismic WORK, 2D/3D land seismic acquisition, transition zone acquisition, on-site data processing, borehole and multiclient seismic, seismic consulting and interpretation, and wireless seismic and data acquisition in real time. The company also operates and maintains onshore and offshore oil and gas facilities; offers energy-intensive techniques, such as injection of heat, chemicals, carbon dioxide or other gases, and cyclical steam injection to extract crude; and provides material handling, exploration, mining development and operation, and other services. In addition, it offers various facilities, such as floating oil production units; floating, production, storage, and offloading; mobile oil production…
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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.