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Morgan Sindall Group (MGNS) Fair Value & Analysis

Industrials · GB · Market cap 2.0B GBX

Pricep47.22
Fair Valuep78.01
Upside+65.2%
Quality95/100
Evidence: High Range p59.05 – p95.32

Analysis

Morgan Sindall Group (MGNS) currently trades at p47.22, while our model-based Fair Value estimate is p78.01 — implying the stock looks roughly 65.2% 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

Morgan Sindall Group plc operates as a construction and regeneration company in the United Kingdom. The company operates through six segments: Partnership Housing, Mixed Use Partnerships, Fit Out, Construction, Infrastructure, and Property Services. The Partnership Housing segment focuses on working in partnerships with local authorities and housing associations, which includes mixed-tenure developments; building and developing homes for open market sale and for social/affordable rent; design and build house contracting; and planned maintenance and refurbishment. The Mixed Use Partnerships segment transforms urban landscape through partnership working and the development of multi-phase sites and mixed-use placemaking. The Fit Out segment offers fit out and refurbishment in commercial, central and local government offices, and further education, as well as provides office interior design and build services direct to occupiers. The Construction segment focuses on education, healthcare…

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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.