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Skycap Investment Holdings (LIMFF) Fair Value & Analysis

Financial Services · US · Market cap $18.0M

Price$0.0231
Fair Value$0.0270
Upside+16.9%
Quality95/100
Evidence: Low Range $0.0247 – $0.0293

Fair value as of: Jun 26, 2026

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Analysis

Skycap Investment Holdings (LIMFF) currently trades at $0.0231, while our model-based Fair Value estimate is $0.0270 — implying the stock looks roughly 16.9% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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

Skycap Investment Holdings Inc., an investment issuer, identifies and invests in high-growth sectors. The company was formerly known as Li-Metal Corp. and changed its name to Skycap Investment Holdings Inc. in March 2025. Skycap Investment Holdings Inc. is based in Toronto, Canada.

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Frequently asked questions

Is Skycap Investment Holdings (LIMFF) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0270 versus a price of $0.0231 — about +17% (undervalued). Model-based estimate, not financial advice.
What is the fair value of LIMFF?
Our 21-model fair value for Skycap Investment Holdings is $0.0270 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0231.
What is the quality score of LIMFF?
Skycap Investment 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.