Wilmington plc (WMGTF) Fair Value & Analysis
Consumer Defensive · US · Market cap $401M
Fair value as of: Jun 25, 2026
Analysis
Wilmington plc (WMGTF) currently trades at $4.48, while our model-based Fair Value estimate is $4.99 — implying the stock looks roughly 11.4% undervalued today. We read business quality at 92/100 (high quality), in the Consumer Defensive 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
Wilmington plc, together with its subsidiaries, provides data, information, training, and education solutions to professional markets in the United Kingdom, the United States, rest of Europe, and internationally. The company operates through Health, Safety and Environment (HSE), Legal, and Financial Services segments. It offers risk and compliance data; face-to-face and online learning for various industry standard qualifications and certificates; and compliance training and technical support, including formal qualifications, continuing education, and mandatory training through instructor-led and self-guided formats for customers across various industries, such as financial services, legal, and health, safety, and environment sectors. The company also provides training courses in health, safety, and environmental industries; international compliance and regulatory information for the insurance industry; witness training and conference services; certified professional training; train…
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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.