Redox Limited (RDX) Fair Value & Analysis
Basic Materials · AU · Market cap A$1.9B
Analysis
Redox Limited (RDX) currently trades at A$3.97, while our model-based Fair Value estimate is A$2.02 — implying the stock looks roughly 49.1% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).
About the company
Redox Limited supplies and distributes chemicals, ingredients, and raw materials in Australia, New Zealand, the United States, and internationally. It offers antioxidants, proteins and fibres, leaving agents, acidity regulator, sweeteners, thickeners, stabilisers and gums, vitamins, amino acids, mineral salts, preservatives, phosphates, humectants, essential and vegetable oils, herb and spice extracts, natural colours, emulsifier, dairy products, wine and brewing, cleaning and sanitation, specialities, additives, chemicals, emollients, emulsifiers, hair care, humectants, solvents, sunscreens, surfactants, thickeners, vegetable oils, processing aids and fining, cleaning and sanitation, waxes and fatty acids, and functional products. The company also offers feed trace elements and minerals, fats and oils, colours, fertilisers and trace elements, herbicides, fungicides, pool chlorination and bromination, water softeners, water hardeners, PH adjusters, UV stabilisers, spa shock, floccul…
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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.