ARB Corporation (ARB) Fair Value & Analysis
Consumer Cyclical · AU · Market cap A$1.5B
Analysis
ARB Corporation (ARB) currently trades at A$19.18, while our model-based Fair Value estimate is A$20.91 — implying the stock looks roughly 9.0% 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
ARB Corporation Limited engages in the design, manufacture, distribution, and sale of motor vehicle accessories and light metal engineering works. The company provides earth campers; bull bars; side rails and steps; rear protection, towing, and wheel carriers; canopies; MITS alloy; UTE lids and tub accessories; roof racks, cross bars, and carriers; old man EMU 4X4 suspensions; linx products; driving lights; air compressors and tyre accessories; air lockers; winches; recovery equipment; recovery points; and under vehicle protection products. It also offers fuel tanks and storage products; drawers and cargo solutions; slide kitchen products; portable fridge freezers; tents, swags, and awnings; camping and touring accessories; UHF radios, GPS, and reverse cameras; safari snorkels; dual battery and solar systems; general accessories; and interior protection and merchandise products. The company serves stockists, vehicle dealers, and various fleet operators, as well as owns and license A…
Open the full interactive analysis →
Similar stocks
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.