Qube Holdings (QUB) Fair Value & Analysis
Industrials · AU · Market cap A$8.9B
Analysis
Qube Holdings (QUB) currently trades at A$5.12, while our model-based Fair Value estimate is A$0.6100 — implying the stock looks roughly 88.1% 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: medium).
About the company
Qube Holdings Limited, together with its subsidiaries, provides import and export logistics services in Australia, New Zealand, and Southeast Asia. It operates through two segments, Operating Division and Patrick. The company offers logistics and infrastructure solutions, including containerised cargo and grain trading, as well as outsourced industrial logistics across the heavy transport, mobile crane, and renewable energy industries. It also provides import/export supply chain services, such as road and rail transport of containers to and from ports, operation of container parks, customs and quarantine services, warehousing, international freight forwarding, lifting services or equipment, bulk rail and containerised haulage storage, and handling of rural commodities, as well as operation of automotive and break-bulk, grain, intermodal, and regional rail terminals. In addition, the company offers port logistics, such as processing and delivery of energy and forestry products, proje…
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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.