Lindsay Australia Limited (LAU) Fair Value & Analysis
Industrials · AU · Market cap A$201M
Fair value as of: Jun 24, 2026
Analysis
Lindsay Australia Limited (LAU) currently trades at A$0.5800, while our model-based Fair Value estimate is A$1.00 — implying the stock looks roughly 72.4% 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
Lindsay Australia Limited, together with its subsidiaries, provides integrated transport, logistics, and rural supply services to the food processing, food services, fresh produce, and horticulture sectors in Australia. The company operates through three segments: Transport, Rural, and Hunter. The company offers agricultural solutions, including seed, chemicals, nutrients, fertilizer, irrigation, farm consumables and packaging. The company also provides linehaul, dry and general, refrigerated chiller freight, and local pick-up delivery services. In addition, it offers unloading, cross-docking, storage, ripening, quarantine, inspection, fumigation, and import/export services. Further, the company provides fencing and livestock products; agricultural services, such as agronomy and feed testing services; trade essentials, including hardware, timber, and trade supplies; and pet products. Lindsay Australia Limited was incorporated in 1993 and is based in Acacia Ridge, Australia.
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Frequently asked questions
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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.