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Lucent, Inc (LUCN) Fair Value & Analysis

Technology · US · Market cap $119M

Price$4.50
Fair Value$0.4700
Upside-89.6%
Quality81/100
Evidence: Low Range $0.3600 – $0.5900

Fair value as of: Jun 23, 2026

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Analysis

Lucent, Inc (LUCN) currently trades at $4.50, while our model-based Fair Value estimate is $0.4700 — implying the stock looks roughly 89.6% overvalued today. We read business quality at 81/100 (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

Lucent, Inc. provides sustainable energy and artificial intelligence (AI) technology solutions in the United States and internationally. The company offers battery management system, which utilizes AI for enhanced energy storage capabilities. Its technologies harness the nano-material property capabilities to provide nano-scale building blocks for creating energy storage solutions. The company was formerly known as Tipmefast, Inc. and changed its name to Lucent, Inc. in February 2025. Lucent, Inc. was incorporated in 2017 and is based in Irvine, California.

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Frequently asked questions

Is Lucent, Inc (LUCN) undervalued?
As of Jun 23, 2026, our model estimates a fair value of $0.4700 versus a price of $4.50 — about −90% (overvalued). Model-based estimate, not financial advice.
What is the fair value of LUCN?
Our 21-model fair value for Lucent, Inc is $0.4700 (as of Jun 23, 2026), built from audited fundamentals. The current price is $4.50.
What is the quality score of LUCN?
Lucent, Inc has a Quality Score of 81/100, 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.