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GSTechnologies Ltd (GST) Fair Value & Analysis

Technology · GB · Market cap 10.5M GBX

Pricep0.0038
Fair Valuep0.0100
Upside+166.7%
Quality95/100
Evidence: Low Range p0.0100 – p0.0100

Fair value as of: Jun 25, 2026

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Analysis

GSTechnologies Ltd (GST) currently trades at p0.0038, while our model-based Fair Value estimate is p0.0100 — implying the stock looks roughly 166.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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: low) — always confirm before acting.

About the company

GSTechnologies Ltd., together with its subsidiaries, engages in the provision of data infrastructure, storage, and technology services worldwide. The company offers blockchain-based payment and financial services; foreign exchange solutions; and crypto asset exchange and wealth management. It also provides software maintenance and cybersecurity surveillance solutions. The company was formerly known as Golden Saint Technologies Limited and changed its name to GSTechnologies Ltd. in August 2019. GSTechnologies Ltd. is based in Perth, Australia.

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Frequently asked questions

Is GSTechnologies Ltd (GST) undervalued?
As of Jun 25, 2026, our model estimates a fair value of p0.0100 versus a price of p0.0038 — about +167% (undervalued). Model-based estimate, not financial advice.
What is the fair value of GST?
Our 21-model fair value for GSTechnologies Ltd is p0.0100 (as of Jun 25, 2026), built from audited fundamentals. The current price is p0.0038.
What is the quality score of GST?
GSTechnologies Ltd 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.