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Sailfish Royalty Corp (SROYF) Fair Value & Analysis

Basic Materials · US · Market cap $250M

Price$3.26
Fair Value$0.3400
Upside-89.6%
Quality95/100
Evidence: High Range $0.2800 – $0.3600

Fair value as of: Jun 24, 2026

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Analysis

Sailfish Royalty Corp (SROYF) currently trades at $3.26, while our model-based Fair Value estimate is $0.3400 — implying the stock looks roughly 89.6% overvalued today. We read business quality at 95/100 (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: high).

About the company

Sailfish Royalty Corp. engages in the acquisition of precious metals royalty and streaming agreements. The company engages in the exploration of gold and silver deposits. It offers management services. Sailfish Royalty Corp. was incorporated in 2014 and is headquartered in Road Town, the British Virgin Islands.

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Frequently asked questions

Is Sailfish Royalty Corp (SROYF) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.3400 versus a price of $3.26 — about −90% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SROYF?
Our 21-model fair value for Sailfish Royalty Corp is $0.3400 (as of Jun 24, 2026), built from audited fundamentals. The current price is $3.26.
What is the quality score of SROYF?
Sailfish Royalty 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.