Duratec Limited (DUR) Fair Value & Analysis
Industrials · AU · Market cap A$694M
Analysis
Duratec Limited (DUR) currently trades at A$2.79, while our model-based Fair Value estimate is A$1.75 — implying the stock looks roughly 37.3% 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
Duratec Limited, together with its subsidiaries, engages in the provision of assessment, protection, remediation, and refurbishment services to a range of assets primarily for steel and concrete infrastructure in Australia. It operates through Defence, Mining & Industrial, Building & Façade, and Energy segments. The Defence segment delivers capital facilities, infrastructure, and estate works program projects. The Mining & Industrial segment offers preventative maintenance programmes. The Building & Facade segment provides facade condition assessments and restorations services. The Energy segment is involved in the operation of non-defence capital facilities, remediation, and refurbishment of critical assets. The company also offers asset protection, laboratory services, waterproofing, fitout and refurbishment, infrastructure maintaining and upgrading, facade remediation and cladding replacement, durability engineering, specialist access systems, construction, petrography lab servic…
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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.