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KMD Brands Limited (KMD) Fair Value & Analysis

Consumer Cyclical · AU · Market cap A$73.6M

PriceA$0.0600
Fair ValueA$0.0546
Upside-9.0%
Quality95/100
Evidence: High Range A$0.0451 – A$0.0641

Fair value as of: Jun 26, 2026

Analysis

KMD Brands Limited (KMD) currently trades at A$0.0600, while our model-based Fair Value estimate is A$0.0546 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Cyclical 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

KMD Brands Limited, together with its subsidiaries, designs, markets, wholesales, and retails apparel, footwear, and equipment for surfing and the outdoors under the Kathmandu, Rip Curl, and Oboz brand names. It operates in New Zealand, Australia, North America, Europe, Southeast Asia, Japan, and Brazil, and internationally. The company was formerly known as Kathmandu Holdings Limited and changed its name to KMD Brands Limited in March 2022. KMD Brands Limited was founded in 1987 and is based in Christchurch, New Zealand.

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Frequently asked questions

Is KMD Brands Limited (KMD) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0546 versus a price of A$0.0600 — about −9% (overvalued). Model-based estimate, not financial advice.
What is the fair value of KMD?
Our 21-model fair value for KMD Brands Limited is A$0.0546 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0600.
What is the quality score of KMD?
KMD Brands Limited has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.