Coda Octopus Group (CODA) Fair Value & Analysis
Industrials · US · Market cap $113M
Fair value as of: Jun 24, 2026
Analysis
Coda Octopus Group (CODA) currently trades at $9.46, while our model-based Fair Value estimate is $7.73 — implying the stock looks roughly 18.3% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Coda Octopus Group, Inc., together with its subsidiaries, sells and rentals underwater technologies and equipment for real time 3D imaging, mapping, defense, and survey applications in the United States, Europe, Australia, Asia, the Middle East, and Africa. It operates through three segments: Marine Technology Business, Acoustic Sensors and Materials Business, and Defense Engineering Services Business. The Marine Technology Business offers geophysical range of products, such as GeoSurvey, a software and hardware package for acquisition and processing of sidescan sonar and sub-bottom profiler data in oil and gas companies; DA4G, a geophysical hardware; and Survey Engine, a software product that provides post-processing solutions for sidescan sonar and sub-bottom profiler data; inertial positioning and attitude measurement systems; and real-time volumetric imaging sonar systems under the Echoscope, Echoscope PIPE, and Echoscope PIPE NANO Gen Series brands, as well as the Diver Augment…
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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.