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MindWalk Holdings (HYFT) Fair Value & Analysis

Healthcare · US · Market cap $71.5M

Price$1.49
Fair Value$1.07
Upside-28.2%
Quality95/100
Evidence: Low Range $0.8000 – $1.33

Fair value as of: Jun 24, 2026

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Analysis

MindWalk Holdings (HYFT) currently trades at $1.49, while our model-based Fair Value estimate is $1.07 — implying the stock looks roughly 28.2% overvalued today. We read business quality at 95/100 (high quality), in the Healthcare 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

MindWalk Holdings Corp. operates as a bio-native AI company. It focuses on the integration of artificial intelligence, multi-omics data, and advanced laboratory research to accelerate the discovery and development of biologics. The company, through its LensAI platform and HYFT technology, it partners with pharmaceutical and biotechnology companies to drive de-risk drug development and unlock therapeutic possibilities. The company was formerly known as ImmunoPrecise Antibodies Ltd. and changed its name to MindWalk Holdings Corp. in September 2025. The company was incorporated in 1983 and is headquartered in Austin, Texas.

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Frequently asked questions

Is MindWalk Holdings (HYFT) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $1.07 versus a price of $1.49 — about −28% (overvalued). Model-based estimate, not financial advice.
What is the fair value of HYFT?
Our 21-model fair value for MindWalk Holdings is $1.07 (as of Jun 24, 2026), built from audited fundamentals. The current price is $1.49.
What is the quality score of HYFT?
MindWalk Holdings 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.