Mermaid Maritime Public Company (MMMPF) Fair Value & Analysis
Energy · US · Market cap $147M
Fair value as of: Jun 26, 2026
Analysis
Mermaid Maritime Public Company (MMMPF) currently trades at $0.0780, while our model-based Fair Value estimate is $0.0640 — implying the stock looks roughly 18.0% overvalued today. We read business quality at 95/100 (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
Mermaid Maritime Public Company Limited, together with its subsidiaries, operates as a subsea and offshore services company in Thailand, Qatar, Nigeria, India, the United Arab Emirates, the United Kingdom, Angola, Malaysia, Singapore, Mauritius, Vietnam, and Saudi Arabia. It operates through two segments, Subsea Group and Holding. The company offers various subsea services, including inspection, repair and maintenance, infrastructure installation support, remotely operated vehicle support, and cable and flexible pipe laying services. It is also involved in the operation of 8 subsea vessels; diving/remotely operated vehicle; provision of submarine products installation services, such as installation engineering, cable transportation, surveys, cable installation with accessories, shore and platform cable pull ins, as well as inspection, repair, and maintenance of subsea cables; and offshore construction support, offshore survey, surface and subsea positioning, equipment and software, …
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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.