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Kier Group (KIERF) Fair Value & Analysis

Industrials · US · Market cap $1.2B

Price$2.75
Fair Value$4.59
Upside+66.9%
Quality95/100
Evidence: High Range $3.25 – $5.93

Analysis

Kier Group (KIERF) currently trades at $2.75, while our model-based Fair Value estimate is $4.59 — implying the stock looks roughly 66.9% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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

Kier Group plc primarily engages in the construction business in the United Kingdom and internationally. The company operates through four segments: Construction, Infrastructure Services, Property and Corporate. It constructs power stations, roads, bridges, railways, and tunnels; and buildings for public and private sectors, including schools, hospitals, defence estate optimisation, commercial, residential and heritage buildings for local authorities, the Ministry of Justice, other government departments, and prisons. It also provides maintenance services for the UK road, rail, and utilities infrastructure, as well as reactive repairs; water and network services; mechanical and electrical engineering and fabric maintenance services; and cleaning, grounds' maintenance, security, and pest control services. In addition, the company invests in and develops property schemes and sites. Kier Group plc was incorporated in 1992 and is based in Salford, the United Kingdom.

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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.