Alphageo (India) Limited (ALPHAGEO) Fair Value & Analysis
Energy · IN · Market cap ₹1.3B
Fair value as of: Jun 29, 2026
Analysis
Alphageo (India) Limited (ALPHAGEO) currently trades at ₹198.81, while our model-based Fair Value estimate is ₹392.43 — implying the stock looks roughly 97.4% undervalued today. We read business quality at 96/100 (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: medium) — always confirm before acting.
About the company
Alphageo (India) Limited engages in the provision of geophysical seismic data acquisition, processing, and interpretation services for exploration of hydrocarbons and minerals in India. The company offers seismic data acquisition services, such as designing and preplanning of 2D, 3D, 4D, and 3C surveys; seismic data processing of data, reprocessing, special processing, including pre-stack imaging, and AVO inversion; and structural and stratigraphic interpretation, generation, evaluation and ranking of prospects, and evaluation of blocks for exploration. It also provides consultancy on 3D, 4D, and 3C surveys; EM and GM services API; reservoir data acquisition; reservoir analysis; tape transcription and digitization of hard copies of maps, seismic sections and well logs into CGM, SEGY, and LAS formats; third party QC for acquisition and processing; topographic surveys with GPS and RTK; airborne surveys for mineral exploration; and geophysical mapping surveys through gravity and magnet…
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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.