PipeHawk plc (PIP) Fair Value & Analysis
Technology · GB · Market cap 908K GBX
Fair value as of: Jun 23, 2026
Analysis
PipeHawk plc (PIP) currently trades at p0.0250, while our model-based Fair Value estimate is p0.1100 — implying the stock looks roughly 340.0% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: low) — always confirm before acting.
About the company
PipeHawk plc engages in the development, assembly, and sale of automated manufacturing units, test system, rail industry solutions, and ground probing radar (GPR) equipment in the United Kingdom, Europe and internationally. It operates through Utility Detection and Mapping Services; Development, Assembly, and Sale of GPR Equipment; and Rail Trackside Solutions segments. The company also provides GPR based services; and undertakes complementary research and development assignments. In addition, it offers site survey support to civil engineers, consulting engineers, design engineers, and planners; and produces machines, attachments, and tools for track renewal and maintenance. Further, the company is involved in research and development of GPR products and services under the Groundvue and PipeHawk brand name, as well as provision of training in GPRs techniques for both beginners and for more experienced user. Additionally, it provides technology solutions for a range of industries, su…
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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.