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SouthGobi Resources Ltd (SGQ) Fair Value & Analysis

Basic Materials · CA · Market cap A$454M

PriceA$0.0960
Fair ValueA$0.0200
Upside-79.2%
Quality95/100
Evidence: Low Range A$0.0200 – A$0.0300

Fair value as of: Jun 24, 2026

Analysis

SouthGobi Resources Ltd (SGQ) currently trades at A$0.0960, while our model-based Fair Value estimate is A$0.0200 — implying the stock looks roughly 79.2% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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

SouthGobi Resources Ltd., together with its subsidiaries, operates as an integrated coal mining, development, and exploration company in Mongolia and China. The company primarily explores for coking and thermal coal. Its flagship project is the Ovoot Tolgoi open pit coal mine located in the Umnugobi Aimag of Mongolia. The company was formerly known as SouthGobi Energy Resources Ltd. and changed its name to SouthGobi Resources Ltd. in May 2010. The company is based in Kowloon, Hong Kong.

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Frequently asked questions

Is SouthGobi Resources Ltd (SGQ) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.0200 versus a price of A$0.0960 — about −79% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SGQ?
Our 21-model fair value for SouthGobi Resources Ltd is A$0.0200 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.0960.
What is the quality score of SGQ?
SouthGobi Resources 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.