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Winton Land Limited (WTN) Fair Value & Analysis

Real Estate · AU · Market cap A$653M

PriceA$2.20
Fair ValueA$1.16
Upside-47.3%
Quality95/100
Evidence: High Range A$0.7800 – A$1.16

Fair value as of: Jun 26, 2026

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Analysis

Winton Land Limited (WTN) currently trades at A$2.20, while our model-based Fair Value estimate is A$1.16 — implying the stock looks roughly 47.3% overvalued today. We read business quality at 95/100 (high quality), in the Real Estate 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

Winton Land Limited engages in the real estate business in New Zealand and Australia. The company operates through Residential Development, Retirement Villages, and Commercial Portfolio segments. The Residential Development segment designs, develops, markets, and sells residential properties, such as land lots, dwellings, townhouses, and apartments. The Retirement Villages segment develop and operate retirement villages. The Commercial Portfolio segment engages in leasing of real estate properties. The company was incorporated in 2017 and is based in Auckland, New Zealand.

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Frequently asked questions

Is Winton Land Limited (WTN) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$1.16 versus a price of A$2.20 — about −47% (overvalued). Model-based estimate, not financial advice.
What is the fair value of WTN?
Our 21-model fair value for Winton Land Limited is A$1.16 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$2.20.
What is the quality score of WTN?
Winton Land 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.