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SigmaRoc plc (SRC) Fair Value & Analysis

Basic Materials · GB · Market cap 1.3B GBX

Pricep1.19
Fair Valuep1.22
Upside+2.7%
Quality93/100
Evidence: High Range p0.6000 – p1.53

Analysis

SigmaRoc plc (SRC) currently trades at p1.19, while our model-based Fair Value estimate is p1.22 — implying the stock looks roughly 2.7% undervalued today. We read business quality at 93/100 (high quality), in the Basic Materials 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

SigmaRoc plc, through its subsidiaries, invests, acquires, and integrates businesses in the quarried materials sector in the United Kingdom, Ireland, western Europe, Central Europe, and Nordics. It also produces aggregates, stone, granite, concrete blocks and precast elements, asphalts, ready-mix concrete, precast concrete, and other stone products; supplies value-added industrial and construction materials; and provides shipping logistics, road contracting, waste recycling, and patent and licensing services, as well as engages in the limestone quarrying and processing activities. In addition, the company offers crushing stone, retaining wall system, railway operation, information technology, and CO2 management services. The company was formerly known as Messaging International Plc and changed its name to SigmaRoc plc in August 2016. SigmaRoc plc is based in London, 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.