Gooch & Housego PLC (GHH) Fair Value & Analysis
Technology · GB · Market cap 261M GBX
Fair value as of: Jun 24, 2026
Analysis
Gooch & Housego PLC (GHH) currently trades at p9.26, while our model-based Fair Value estimate is p2.20 — implying the stock looks roughly 76.2% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Gooch & Housego PLC engages in the manufacture and sale of acousto-optics, electro-optics, fiber optics, and precision optics and systems in the United Kingdom, North America, Europe, the Asia Pacific, and internationally. The company operates through A&D, Life Sciences, and Industrial segments. It offers acousto-optic products, such as acoustic-optic modulators, deflectors, frequency shifters, mode lockers, pulse pickers, Q-switches, tunable filters, and RF drivers; crystal optics, including crystals and nonlinear optics, lithium niobate wafers, and periodically-poled lithium niobite; and electro-optics, such as pockels cells, lithium niobate Q-switches, and pockels cell drivers. The company also provides fiber optics, such as fiber-coupled acousto-optic modulators, high power combiners, PM and SM couplers, polarization diverse receivers, ruggedized and wideband couplers, and variable optical delay line; precision optics, including beam splitters, corner cubes, optical domes, optic…
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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.