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Silver Scott Mines, Inc (SILS) Fair Value & Analysis

Basic Materials · US · Market cap $6.6M

Price$0.0371
Fair Value$0.0100
Upside-73.0%
Quality95/100
Evidence: Low

Fair value as of: Jun 24, 2026

Analysis

Silver Scott Mines, Inc (SILS) currently trades at $0.0371, while our model-based Fair Value estimate is $0.0100 — implying the stock looks roughly 73.0% 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: low).

About the company

Silver Scott Mines, Inc. a diversified holding company that focuses on acquiring and developing businesses across healthcare technology, consumer products, clean technology, and digital assets. The company operates in two primary divisions: Silver Scott Digital Holdings and Silver Scott Health. Silver Scott Mines, Inc. was incorporated in 1966 and is based in Franklin, New Jersey.

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Frequently asked questions

Is Silver Scott Mines, Inc (SILS) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.0100 versus a price of $0.0371 — about −73% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SILS?
Our 21-model fair value for Silver Scott Mines, Inc is $0.0100 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.0371.
What is the quality score of SILS?
Silver Scott Mines, Inc 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.