Wrap Technologies, Inc (WRAP) Fair Value & Analysis
Technology · US · Market cap $62.4M
Fair value as of: Jun 25, 2026
Analysis
Wrap Technologies, Inc (WRAP) currently trades at $1.12, while our model-based Fair Value estimate is $0.6200 — implying the stock looks roughly 44.6% overvalued today. We read business quality at 95/100 (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
Wrap Technologies, Inc., a public safety technology and services company, develops policing solutions for law enforcement and security personnel in the United States, Europe, the Middle East, Africa, Asia Pacific, and internationally. The company offers BolaWrap, a handheld and non-lethal device designed to give a tactical option; Wrap Reality, a virtual reality training platform, which provides scenario-based training focused on human-factors awareness, decision making under stress, and use of force judgment.; WrapTactics, a subscription-based digital training and performance platform aimed at delivering short form and scenario-based instruction focused on non-lethal response tactics, decision-making under stress, and follow-on lawful control techniques; WrapVision, a body-worn camera and digital evidence management solution; and counter-unmanned aircraft systems (C-UAS) through a network of distributors, resellers, strategic partners, and direct sales. Wrap Technologies, Inc. was …
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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.