29Metals Limited (TWNMF) Fair Value & Analysis
Basic Materials · US · Market cap $386M
Fair value as of: Jun 24, 2026
Analysis
29Metals Limited (TWNMF) currently trades at $0.2203, while our model-based Fair Value estimate is $0.1400 — implying the stock looks roughly 36.5% overvalued today. We read business quality at 89/100 (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: medium).
About the company
29Metals Limited operates as a copper-focused base and precious metals mining company in Australia and Chile. The company explores copper, gold, silver, zinc, and lead deposits. It is also involved in base and precious metals mining, mineral production, and associated activities; exploration for mineral resources; and Cervantes, and Gossan Valley projects. Its primary assets include the Golden Grove property covering an area of approximately 129 square kilometers located in Western Australia; the Capricorn Copper property covering an area of approximately 1,900 square kilometers situated in Queensland; and Redhill property covering an area of approximately 227 square kilometers. 29Metals Limited was incorporated in 2021 and is headquartered in Melbourne, Australia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is 29Metals Limited (TWNMF) undervalued?
What is the fair value of TWNMF?
What is the quality score of TWNMF?
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.