Ronin Resources Ltd (RON) Fair Value & Analysis
Basic Materials · AU · Market cap A$7.3M
Fair value as of: Jun 26, 2026
Analysis
Ronin Resources Ltd (RON) currently trades at A$0.1850, while our model-based Fair Value estimate is A$0.0800 — implying the stock looks roughly 56.8% 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
Ronin Resources Ltd engages in the acquisition, development, evaluation, and exploration of mineral properties in Colombia. It explores for thermal coal, as well as gold and copper deposits. The company holds 100% interest in the Vetas project, which include one mining title and one mining concession located in Norte de Santander in northeast Colombia. In addition, it holds interest in the Santa Rosa project that includes three mining license applications located in the foothills of the Serranía de San Lucas in the municipality of Santa Rosa Sur, Department of Bolivár in northern Colombia; and the La Punilla project covering an area of 23,637 hectares located in San Juan, Argentina. Ronin Resources Ltd was incorporated in 2018 and is based in Melbourne, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Ronin Resources Ltd (RON) undervalued?
What is the fair value of RON?
What is the quality score of RON?
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.