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Lightwave Logic, Inc (LWLG) Fair Value & Analysis

Basic Materials · US · Market cap $1.9B

Price$9.26
Fair Value$1.45
Upside-84.3%
Quality95/100
Evidence: Low Range $1.09 – $1.82

Analysis

Lightwave Logic, Inc (LWLG) currently trades at $9.26, while our model-based Fair Value estimate is $1.45 — implying the stock looks roughly 84.3% 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

Lightwave Logic, Inc. focuses on the development and commercialization of electro-optic polymer materials for data communications and other photonic application in the United States and internationally. The company sells electro-optic (EO) polymer materials for integration into silicon photonics and other photonic integrated circuit platforms under the Perkinamine name. It is also involved in intellectual property licensing; and royalty activities. The company serves semiconductor foundries, silicon photonics device designers, and optical module manufacturers, as well as system integrators serving artificial intelligence, cloud computing, data center, and telecommunications markets. The company was formerly known as Third-order Nanotechnologies, Inc. and changed its name to Lightwave Logic, Inc. in March 2008. Lightwave Logic, Inc. was founded in 1991 and is headquartered in Englewood, Colorado.

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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.