Ocean Power Technologies, Inc (OPTT) Fair Value & Analysis
Industrials · US · Market cap $74.6M
Fair value as of: Jun 24, 2026
Analysis
Ocean Power Technologies, Inc (OPTT) currently trades at $0.2765, while our model-based Fair Value estimate is $0.4700 — implying the stock looks roughly 70.0% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
Ocean Power Technologies, Inc., a maritime domain awareness company, provides maritime solutions in North America, South America, Europe, the Middle East, Africa, Australia, and Asia. Its maritime solutions include Data as a Service (DaaS), Robotics as a Service (RaaS), and Power as a Service (PaaS). The company also designs, manufactures, deploys, and operates PowerBuoy, a sensor and power solution; wave adaptive modular vessel (WAM-V), an autonomous unmanned surface vehicle; and Merrows, a user interface and command and control (C2) system for defense, security, subsea infrastructure, offshore oil and gas, offshore energy, marine research, and communication markets. It serves defense agencies, offshore energy operators, and other commercial interests through a combination of direct sales and leases, strategic partnerships, and long-term service agreements. The company was incorporated in 1984 and is headquartered in Monroe Township, New Jersey.
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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.