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Atha Energy Corp (SASK) Fair Value & Analysis

Energy · CA · Market cap C$385M

PriceC$1.08
Fair ValueC$1.12
Upside+3.7%
Quality95/100
Evidence: Low Range C$0.8400 – C$1.40

Fair value as of: Jun 24, 2026

Analysis

Atha Energy Corp (SASK) currently trades at C$1.08, while our model-based Fair Value estimate is C$1.12 — implying the stock looks roughly 3.7% undervalued today. We read business quality at 95/100 (high quality), in the Energy sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Atha Energy Corp., a mineral company, engages in the acquisition, exploration, and evaluation of mineral resources in Canada. It explores uranium deposits. The company was formerly known as Inglenook Ventures Ltd. and changed its name to Atha Energy Corp. in May 2022. Atha Energy Corp. was incorporated in 2021 and is headquartered in Vancouver, Canada.

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Frequently asked questions

Is Atha Energy Corp (SASK) undervalued?
As of Jun 24, 2026, our model estimates a fair value of C$1.12 versus a price of C$1.08 — about +4% (undervalued). Model-based estimate, not financial advice.
What is the fair value of SASK?
Our 21-model fair value for Atha Energy Corp is C$1.12 (as of Jun 24, 2026), built from audited fundamentals. The current price is C$1.08.
What is the quality score of SASK?
Atha Energy Corp 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.