Tekmar Group (TGP) Fair Value & Analysis
Industrials · GB · Market cap 18.0M GBX
Fair value as of: Jun 26, 2026
Analysis
Tekmar Group (TGP) currently trades at p0.1450, while our model-based Fair Value estimate is p0.0300 — implying the stock looks roughly 79.3% 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: low).
About the company
Tekmar Group plc, together with its subsidiaries, designs, manufactures, and supplies subsea stability and protection technology to offshore energy markets. The company offers subsea cable, and umbilical and flexible pipe protection systems; subsea engineering services; geotechnical design services; design and manufacture of subsea protection solutions for use in offshore subsea industry, and project management services; and engineering and geotechnical consulting services for subsea environments. It also provides bespoke concrete mattresses; offshore grouting, subsea equipment, and rental services; and sales and project management services. The company provides products for subsea cable, rigid and flexible pipeline, umbilical, seabed, structural applications. It serves offshore wind, floating wind, infrastructure, marine civils, interconnectors, telecoms sectors in the United Kingdom, Europe, the Middle East, the United States, Canada, the Asia Pacific, and internationally. Tekmar …
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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.