-
Exchange | NYSE |
---|---|
CurrencyCode | USD |
ISIN | US1940145022 |
Sector | Healthcare |
Industry | Medical Devices |
PE Ratio | None |
---|---|
Target Price | 64.2 |
Beta | 1.97 |
Market Cap | 2B |
Dividend Yield | None |
Enovis Corporation operates as a medical technology company focus on developing clinically differentiated solutions in the United States and internationally. It operates through two segments: Prevention and Recovery, and Reconstructive segments. The company's Prevention and Recovery segment offers orthopedic solutions and recovery sciences including rigid and soft orthopedic bracing, hot and cold therapy, bone growth stimulators, vascular therapy systems and compression garments, therapeutic shoes and inserts, electrical stimulators management, and physical therapy products which are used by orthopedic specialists, surgeons, primary care physicians, pain management specialists, physical therapists, podiatrists, chiropractors, athletic trainers, and other healthcare professionals. Its Reconstructive segment operates surgical implant business, which includes a suite of reconstructive joint products for the hip, knee, shoulder, elbow, foot, ankle, and finger, as well as surgical productivity tools. It also manufactures and distributes medical devices which are used for reconstructive surgery, rehabilitation, pain management, and physical therapy. It distributes its products through independent distributors and directly under the ESAB and DJO brands. The company was formerly known as Colfax Corporation. Enovis Corporation was founded in 1995 and is headquartered in Wilmington, Delaware.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for ENOV 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 2025