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Voice Assist, Inc (VSST) Fair Value & Analysis

Technology · US · Market cap $8.4M

Price$0.0225
Fair Value$0.0197
Upside-12.5%
Quality80/100
Evidence: Low Range $0.0197 – $0.0197

Fair value as of: Jun 26, 2026

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Analysis

Voice Assist, Inc (VSST) currently trades at $0.0225, while our model-based Fair Value estimate is $0.0197 — implying the stock looks roughly 12.5% overvalued today. We read business quality at 80/100 (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

Voice Assist, Inc. operates as a voice recognition technology company in the United States. It engages in the operation of a cloud-based speech recognition platform that supports speech recognition-based enterprise services such as customer relationship management and field force automation, as well as direct-to-enterprise services, such as virtual assistants and direct-to-consumer safe driving services, which allows SMS, email, and social media messaging through a single personal phone number. The company was founded in 2002 and is based in Aliso Viejo, California.

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Frequently asked questions

Is Voice Assist, Inc (VSST) undervalued?
As of Jun 26, 2026, our model estimates a fair value of $0.0197 versus a price of $0.0225 — about −12% (overvalued). Model-based estimate, not financial advice.
What is the fair value of VSST?
Our 21-model fair value for Voice Assist, Inc is $0.0197 (as of Jun 26, 2026), built from audited fundamentals. The current price is $0.0225.
What is the quality score of VSST?
Voice Assist, Inc has a Quality Score of 80/100, 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.