Built Cybernetics plc (BUC) Fair Value & Analysis
Industrials · GB · Market cap 5.8M GBX
Fair value as of: Jun 26, 2026
Analysis
Built Cybernetics plc (BUC) currently trades at p0.0155, while our model-based Fair Value estimate is p0.0162 — implying the stock looks roughly 4.5% 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: medium) — always confirm before acting.
About the company
Built Cybernetics plc, together with its subsidiaries, provides integrated professional design services in the United Kingdom and Turkey. It operates through United Kingdom Architecture, Torpedo Factory Group, Anders+Kern, ecoDriver, and Continental Europe segments. The company offers architectural design services, including master planning, interior design, and fit-out capability under the Aukett Swanke brand; executive architectural delivery services under the Veretec brand; architect of record and project execution stage services; energy monitoring software, energy efficiency consulting services, and sensors and other hardware to monitor energy usage; and support and engineering services. It also engages in the distribution and installation of workplace technology; integration of smart building and AV systems; software development; design, supply, and installation of stage technology, stage engineering, and associated master systems; and non-trading activities. The company was fo…
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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.