Lendlease Group (LLC) Fair Value & Analysis
Real Estate · AU · Market cap A$1.7B
Fair value as of: Jun 26, 2026
Analysis
Lendlease Group (LLC) currently trades at A$3.17, while our model-based Fair Value estimate is A$5.54 — implying the stock looks roughly 74.8% undervalued today. We read business quality at 95/100 (high quality), in the Real Estate 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: medium) — always confirm before acting.
About the company
Lendlease Group operates as an integrated real estate and investment company in Australia, Asia, Europe, and the Americas. It operates through Investments, Development, Construction, and Capital Release Unit segments. The Investments segment owns and/or manages investments, including residential, office, retail, industrial, and infrastructure investment assets. The Development segment develops inner-city mixed-use developments, apartments, retail, commercial assets and social and economic infrastructure. The Construction segment provides project management, design and construction services, primarily in the commercial, mixed use, data centres, defence and social infrastructure sectors. The Capital Release Unit segment offers overseas construction operations and development projects; retirement assets; US military housing business; Australian communities projects; and engineering and services projects. The company was founded in 1958 and is headquartered in Barangaroo, Australia.
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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.