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Captiva Verde Wellness Corp (CPIVF) Fair Value & Analysis

Healthcare · US · Market cap $10.1M

Price$0.0285
Fair Value$0.0200
Upside-29.8%
Quality95/100
Evidence: Low Range $0.0100 – $0.0200

Fair value as of: Jun 24, 2026

Analysis

Captiva Verde Wellness Corp (CPIVF) currently trades at $0.0285, while our model-based Fair Value estimate is $0.0200 — implying the stock looks roughly 29.8% 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

Captiva Verde Wellness Corp. operates as a real estate company. It also invests in sports. The company was formerly known as Captiva Verde Land Corp. and changed its name to Captiva Verde Wellness Corp. in May 2021. Captiva Verde Wellness Corp. was incorporated in 2015 and is based in Vancouver, Canada.

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Frequently asked questions

Is Captiva Verde Wellness Corp (CPIVF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.0200 versus a price of $0.0285 — about −30% (overvalued). Model-based estimate, not financial advice.
What is the fair value of CPIVF?
Our 21-model fair value for Captiva Verde Wellness Corp is $0.0200 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.0285.
What is the quality score of CPIVF?
Captiva Verde Wellness 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.