Mears Group (MER) Fair Value & Analysis
Consumer Cyclical · GB · Market cap 321M GBX
Analysis
Mears Group (MER) currently trades at p3.96, while our model-based Fair Value estimate is p12.42 — implying the stock looks roughly 214.0% 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
Mears Group plc, together with its subsidiaries, provides various outsourced services to the public and private sectors in the United Kingdom. The company offers response and planned maintenance services; gas and repair services; and maintenance and repairs, regeneration solutions for public buildings, and social housing retrofitting program, as well as grounds maintenance services. It also provides housing management services, which include tenancy, lease and property management; supply of affordable homes to public and private sectors; emergency and temporary accommodation services; affordable housing/social housing management; housing with care services; private rented sector; mears housing solutions; and housing services to central government departments. In addition, the company offers house building services; and facilities management services that includes asset, project, and lifecycle management, electrical and water compliance, cleaning maintenance, and contract management …
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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.