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Green360 Technologies Limited (GT3) Fair Value & Analysis

Industrials · AU · Market cap A$41.0M

PriceA$0.0280
Fair ValueA$0.0230
Upside-18.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 26, 2026

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Analysis

Green360 Technologies Limited (GT3) currently trades at A$0.0280, while our model-based Fair Value estimate is A$0.0230 — implying the stock looks roughly 18.0% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: low).

About the company

Green360 Technologies Limited operates as a hydrous kaolin producer and exploration company in Australia, New Zealand, Asia, and internationally. The company also explores for silica sand deposits. Its products are used in adhesive, ink, paint, paper and board, pharmaceutical, and rubber applications. In addition, the company provides low carbon cement. The company was formerly known as Suvo Strategic Minerals Limited and changed its name to Green360 Technologies Limited in March 2025. Green360 Technologies LImited is based in Pittong, Australia.

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Frequently asked questions

Is Green360 Technologies Limited (GT3) undervalued?
As of Jun 26, 2026, our model estimates a fair value of A$0.0230 versus a price of A$0.0280 — about −18% (overvalued). Model-based estimate, not financial advice.
What is the fair value of GT3?
Our 21-model fair value for Green360 Technologies Limited is A$0.0230 (as of Jun 26, 2026), built from audited fundamentals. The current price is A$0.0280.
What is the quality score of GT3?
Green360 Technologies 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.