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Cyngn Inc (CYN) Fair Value & Analysis

Technology · US · Market cap $18.3M

Price$1.15
Fair Value$8.06
Upside+600.9%
Quality95/100
Evidence: Low Range $6.05 – $10.08

Fair value as of: Jun 24, 2026

Analysis

Cyngn Inc (CYN) currently trades at $1.15, while our model-based Fair Value estimate is $8.06 — implying the stock looks roughly 600.9% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.

About the company

Cyngn Inc., an autonomous vehicle (AV) technology company, develops autonomous driving software in the United States. The company develops Enterprise Autonomy Suite, which consists of DriveMod, a modular industrial vehicle autonomous driving software; and Cyngn Insight, a customer-facing tool suite for monitoring and managing AV fleets and generating/aggregating/analyzing data. It also develops Cyngn Evolve, an internal tool suite and infrastructure that facilitates artificial intelligence and machine learning training to enhance algorithms and models, as well as provides a simulation framework to ensure that data collected in the field can be applied to validating new releases. Cyngn Inc. was incorporated in 2013 and is headquartered in Mountain View, California.

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Frequently asked questions

Is Cyngn Inc (CYN) undervalued?
As of Jun 24, 2026, our model estimates a fair value of $8.06 versus a price of $1.15 — about +601% (undervalued). Model-based estimate, not financial advice.
What is the fair value of CYN?
Our 21-model fair value for Cyngn Inc is $8.06 (as of Jun 24, 2026), built from audited fundamentals. The current price is $1.15.
What is the quality score of CYN?
Cyngn 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.