MaxiPARTS Limited (MXI) Fair Value & Analysis
Consumer Cyclical · AU · Market cap A$81.4M
Fair value as of: Jun 25, 2026
Analysis
MaxiPARTS Limited (MXI) currently trades at A$1.37, while our model-based Fair Value estimate is A$2.92 — implying the stock looks roughly 113.1% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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
MaxiPARTS Limited, together with its subsidiaries, distributes and sells commercial truck and trailer parts, and automotive tools and workshop consumables in Australia. The company provides cable ties, chrome and dress up, cleaning, consumables, general accessory products, greasing and fluid transfer, load restraint systems, mirrors, safety products, signage, tools and workshop, and wipers, as well as switches, flashers, relays, horns, and other technology related products; truck and trailer parts; axles and suspension; and coolants, lubricant, and other filter products. It offers its products under the MaxiPARTS, Alemlube, Bpw, Castrol, Constancy Tyres, Cummins, Donaldson, Eaton, Fleetguard Filtration, Ecco Safety Group, Förch, Gates, Gp Truck Products, Hella, Hendrickson, ITW Aamtech, Jost Australia, Maxus, Morey Oil, Narva, Powerdown, Saf Holland, Sakura Filters, SKF, and Stemco brands. The company sells, wholesales, and trades in commercial vehicle parts to road transport operat…
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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.