Evolv Technologies Holdings (EVLV) Fair Value & Analysis
Industrials · US · Market cap $1.0B
Analysis
Evolv Technologies Holdings (EVLV) currently trades at $5.54, while our model-based Fair Value estimate is $1.99 — implying the stock looks roughly 64.1% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Evolv Technologies Holdings, Inc. develops, manufactures, markets, and sells security screening products and specific services in the United States and internationally. It offers Evolv Express, that is designed to detect firearms, improvised explosive devices, and large tactical knives in unstructured people flows; Evolv eXpedite, an autonomous AI-based weapon detection system for bags being brought to venues by visitors in high clutter environments; and Evolv Insights Analytics Application which provides self-serve access, insights regarding visitor flow and arrival curves, location specific performance, system detection performance and alarm statistics, and comparisons across multiple business dimensions. The company serves various industries comprising education, healthcare, professional sports, notable performing arts and entertainment venues, major tourist destinations and cultural attractions, government and corporate offices, hospitality facilities, distribution facilities, l…
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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.