Fairvalue-Calculator Fairvalue-Calculator
EN DE

Titan Minerals Limited (TTTNF) Fair Value & Analysis

Basic Materials · US · Market cap $147M

Price$0.5100
Fair Value$0.2000
Upside-60.8%
Quality95/100
Evidence: Low Range $0.1200 – $0.2600

Fair value as of: Jun 25, 2026

Analysis

Titan Minerals Limited (TTTNF) currently trades at $0.5100, while our model-based Fair Value estimate is $0.2000 — implying the stock looks roughly 60.8% 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

Titan Minerals Limited engages in the exploration and development of mineral properties in Ecuador. It explores for gold, silver, and copper deposits. The company's flagship project is the 100% held Dynasty Gold Project that consists of five concessions covering an area of 139 square kilometers located in the Loja Province in southern Ecuador. Titan Minerals Limited is based in Subiaco, Australia.

Open the full interactive analysis →

Similar stocks

Frequently asked questions

Is Titan Minerals Limited (TTTNF) undervalued?
As of Jun 25, 2026, our model estimates a fair value of $0.2000 versus a price of $0.5100 — about −61% (overvalued). Model-based estimate, not financial advice.
What is the fair value of TTTNF?
Our 21-model fair value for Titan Minerals Limited is $0.2000 (as of Jun 25, 2026), built from audited fundamentals. The current price is $0.5100.
What is the quality score of TTTNF?
Titan Minerals 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.