James Fisher and Sons plc (FSJ) Fair Value & Analysis
Industrials · GB · Market cap 249M GBX
Fair value as of: Jun 24, 2026
Analysis
James Fisher and Sons plc (FSJ) currently trades at p4.74, while our model-based Fair Value estimate is p8.68 — implying the stock looks roughly 83.1% 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: high) — always confirm before acting.
About the company
James Fisher and Sons plc operates as a marine services company in the United Kingdom, Europe, the Middle East, Africa, the Americas, and the Asia-Pacific. It operates through Energy, Defence, and Maritime Transport segments. The company offers blade inspection, repair, and maintenance; digital control room and OMS services; air compressors for big bubble curtain projects; well testing equipment and services; offshore cable services, fault response, detection, and repair; control flow excavation; decommissioning and subsea asset removal services; drilling services and products; digital inspection planning and reporting; rig cooling and heat suppression systems; high voltage engineering; spares storage and management; structural monitoring and asset insight; and operations, maintenance, and balance of plant services. It also provides submarine rescue and training; military diving products and life support systems; tactical delivery vehicles, including carrier seals; submarine platfor…
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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.