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Latin Metals Inc (LMS) Fair Value & Analysis

Basic Materials · CA · Market cap A$16.4M

LM Latin Metals Inc LMS · AU
PriceA$0.2650
Fair ValueA$0.2000
Upside-24.5%
Quality87/100
Evidence: Low Range A$0.1500 – A$0.2500

Fair value as of: Jun 24, 2026

From 2 valuation models · updated 5 days ago

Share price −48.3% over the past month.

Price vs Fair Value (12 months)

A$0.9045 A$0.1152 Fair Value A$0.2000 Jun 2025 Jun 2026

12‑month range A$0.1152 – A$0.9045 · fair‑value band A$0.1500 – A$0.2500 · the A$0.2650 price screens above the A$0.2000 fair value. As of Jun 24, 2026.

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Analysis

Latin Metals Inc (LMS) currently trades at A$0.2650, while our model-based Fair Value estimate is A$0.2000 — implying the stock looks roughly 24.5% overvalued today. We read business quality at 87/100 (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).

Trailing-twelve-month revenue stands at A$90.9K. Revenue grew 10.6% year over year. It earns a return on equity of -8.6%. Fundamentals as of Jun 24, 2026

Key figures & financial health

Revenue (TTM) A$90.9K
Revenue growth (YoY) +10.6%
Return on equity -8.6%
Operating margin -387%
EPS (TTM) A$-0.0200

Figures from reported company fundamentals (EODHD) · as of Jun 24, 2026. TTM = trailing twelve months.

About the company

Latin Metals Inc., an exploration stage company, engages in the acquisition, exploration, and evaluation of mineral properties in South America. The company explores gold and copper deposits. Its project portfolio includes 18 exploration projects and 2 royalties in Peru and Argentina. The company was formerly known as Centenera Mining Corporation and changed its name to Latin Metals Inc. in May 2019. Latin Metals Inc. is headquartered in Vancouver, Canada.

Revenue & earnings trend

FY2022 – FY2025 · reported fiscal years

Latin Metals Inc reported revenue of A$82.2K in FY2025 versus A$0 in FY2022. Reported net income was −A$607K in FY2025.

Revenue
FY22 A$0
FY23 A$0
FY24 A$0
FY25 A$82.2K
Net income
FY22 −A$730
FY23 −A$7.0K
FY24 −A$583K
FY25 −A$607K

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Similar stocks

6 more Other Precious Metals & Mining stocks, each showing price versus our Fair Value estimate (as of Jun 24, 2026).

Stock Price Fair Value vs Fair Value
Fresnillo plc FRES 750.00 MXN 32.56 MXN -96%
Valterra Platinum Limited ANGPY $12.20 $7.22 -41%
Hecla Mining Company HCL €15.15 €10.13 -33%
Impala Platinum Holdings IMPUF $11.55 $2.07 -82%
Northam Platinum Holdings NPTLF $24.00 $3.59 -85%
Compañía de Minas Buenaventura S.A. BVN $31.00 $29.96 -3%

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Frequently asked questions

Is Latin Metals Inc (LMS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of A$0.2000 versus a price of A$0.2650 — about −25% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LMS?
Our 21-model fair value for Latin Metals Inc is A$0.2000 (as of Jun 24, 2026), built from audited fundamentals. The current price is A$0.2650.
What is the quality score of LMS?
Latin Metals Inc has a Quality Score of 87/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.
What is the revenue of Latin Metals Inc (LMS)?
Latin Metals Inc reported trailing-twelve-month revenue of about A$90.9K (latest available figure, as of Jun 24, 2026).
What is the net profit margin of LMS?
The net profit margin of Latin Metals Inc is about 0.0%, meaning it keeps roughly 0.0% of revenue as net income. Based on the latest reported figures.

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.