Carclo plc (CCEGF) Fair Value & Analysis
Consumer Cyclical · US · Market cap $48.5M
Fair value as of: Jun 25, 2026
Analysis
Carclo plc (CCEGF) currently trades at $0.6700, while our model-based Fair Value estimate is $1.50 — implying the stock looks roughly 123.9% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
Carclo plc, together with its subsidiaries, provides plastic components for the life sciences, aerospace, and advanced industries in the United Kingdom, France, the Czech Republic, China, India, rest of Europe, North America, and internationally. It operates through two segments, CTP and Speciality. The company offers in vitro diagnostics and medical devices, including microfluidic, pipettes, cuvettes, multiwells, and capillary blood sampling devices; drug delivery products comprising inhaler systems and auto injector pens; and injection moulded components for ATM cash storage and dispensing systems, lighting control, and electronics and megatronics. It also provides design and engineering solutions consisting of validation, automation, and education services; and manufacturing services, which include injection moulding, assembly and welding, decoration, and supply chain solutions. In addition, the company offers aerospace mechanical cable assemblies and machined components under th…
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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.