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Step One Clothing Limited (STP) Fair Value & Analysis

Consumer Cyclical · AU · Market cap A$29.7M

PriceA$0.1350
Fair ValueA$0.2163
Upside+60.2%
Quality95/100
Evidence: High Range A$0.1682 – A$0.5731

Fair value as of: Jun 26, 2026

Analysis

Step One Clothing Limited (STP) currently trades at A$0.1350, while our model-based Fair Value estimate is A$0.2163 — implying the stock looks roughly 60.2% 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

Step One Clothing Limited operates as a direct-to-consumer online retailer for underwear in the United Kingdom, the United States, and Australia. It offers men's and women's underwear through website, stepone.life. The company was incorporated in 2017 and is based in Sydney, Australia.

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Frequently asked questions

Is Step One Clothing Limited (STP) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.2163 versus a price of A$0.1350 — about +60% (undervalued). Model-based estimate, not financial advice.
What is the fair value of STP?
Our 21-model fair value for Step One Clothing Limited is A$0.2163 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.1350.
What is the quality score of STP?
Step One Clothing 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.