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Signal Advance, Inc (SIGL) Fair Value & Analysis

Technology · US · Market cap $8.6M

Price$0.1510
Fair Value$0.0900
Upside-40.4%
Quality95/100
Evidence: Low Range $0.0700 – $0.1200

Fair value as of: Jun 24, 2026

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Analysis

Signal Advance, Inc (SIGL) currently trades at $0.1510, while our model-based Fair Value estimate is $0.0900 — implying the stock looks roughly 40.4% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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

Signal Advance, Inc. develops technologies in encryption, secure communications, and signal processing. Its flagship Analog Guard platform leverages analog-domain transformations to deliver AI-resistant, quantum-resilient encryption that strengthens digital systems in high-threat environments. The company was formerly known as Biodyne Development Company, Inc and changed its name to Signal Advance, Inc. in 2007. The company was incorporated in 1992 and is based in Rosharon, Texas.

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Frequently asked questions

Is Signal Advance, Inc (SIGL) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $0.0900 versus a price of $0.1510 — about −40% (overvalued). Model-based estimate, not financial advice.
What is the fair value of SIGL?
Our 21-model fair value for Signal Advance, Inc is $0.0900 (as of Jun 24, 2026), built from audited fundamentals. The current price is $0.1510.
What is the quality score of SIGL?
Signal Advance, 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.