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Aclara Resources Inc (ARAAF) Fair Value & Analysis

Basic Materials · US · Market cap $782M

Price$2.95
Fair Value$1.88
Upside-36.3%
Quality80/100
Evidence: Low Range $1.41 – $2.35

Fair value as of: Jun 24, 2026

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Analysis

Aclara Resources Inc (ARAAF) currently trades at $2.95, while our model-based Fair Value estimate is $1.88 — implying the stock looks roughly 36.3% overvalued today. We read business quality at 80/100 (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

Aclara Resources Inc., a mining company, engages in the exploration and development of rare-earth mineral resources in Chile, Brazil and Peru. Aclara Resources Inc. was formerly known as 1303714 B.C. Ltd and changed its name to Aclara Resources Inc. in October 2021. Aclara Resources Inc. was incorporated in 2021 and is headquartered in Santiago De Surco, Peru.

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Frequently asked questions

Is Aclara Resources Inc (ARAAF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.88 versus a price of $2.95 — about −36% (overvalued). Model-based estimate, not financial advice.
What is the fair value of ARAAF?
Our 21-model fair value for Aclara Resources Inc is $1.88 (as of Jun 24, 2026), built from audited fundamentals. The current price is $2.95.
What is the quality score of ARAAF?
Aclara Resources Inc has a Quality Score of 80/100, 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.