Diales Group (DIAL) Fair Value & Analysis
Industrials · GB · Market cap 14.8M GBX
Fair value as of: Jun 24, 2026
Analysis
Diales Group (DIAL) currently trades at p0.3100, while our model-based Fair Value estimate is p0.2800 — implying the stock looks roughly 9.7% overvalued today. We read business quality at 95/100 (high quality), in the Industrials sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: high).
About the company
Diales Group Plc, together with its subsidiaries, provides various consultancy services to the engineering and construction industries. It offers quantum damages, delay analysis, project management, adjudicators, arbitrators, mediators; and technical expertise services, including civil, structural, mechanical, electrical, public health, and environmental engineering, as well as architecture and energy. The company offers commercial and contract; planning and programming; dispute resolution; structural design; pre-contract; quantity surveying; building information modeling for pre-construction, construction, and commissioning; and training services. It serves building, transport and infrastructure, energy, process and industrial, oil and gas, shipbuilding and marine, and mining sectors. The company operates in the United Kingdom, the United Arab Emirates, Netherlands, Germany, Australia, France, the United States, Singapore, South Korea, Italy, Saudi Arabia, Spain, Canada, Turkey, Sw…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Diales Group (DIAL) undervalued?
What is the fair value of DIAL?
What is the quality score of DIAL?
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.