-
1 Comment
From a valuation standpoint, the stock is 82.0% more expensive than other stocks from the Technology sector with a price to sales ratio of 46.0.
Based on the above factors, Wrap Technologies, Inc gets an overall score of 0/5.
| ISIN | US98212N1072 |
|---|---|
| Exchange | NASDAQ |
| CurrencyCode | USD |
| Sector | Technology |
| Industry | Scientific & Technical Instruments |
| Market Cap | 83M |
|---|---|
| PE Ratio | None |
| Beta | 1.41 |
| Target Price | 2.5 |
| Dividend Yield | None |
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 founded in 2016 and is headquartered in Miami, Florida.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for WRAP using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2026