-
Exchange | NASDAQ |
---|---|
CurrencyCode | USD |
ISIN | VGG6483G1000 |
Sector | Consumer Cyclical |
Industry | Internet Retail |
Market Cap | 76M |
---|---|
PE Ratio | None |
Target Price | 3 |
Beta | 2.97 |
Dividend Yield | None |
Newegg Commerce, Inc. operates as an electronics-focused e-retailer in the United States, Canada, and internationally. The company offers desktops, laptops, gaming laptops, peripherals, and accessories; CPU/processors, graphic cards, motherboards, storage devices, and computer accessories; and software, virtual reality, gaming consoles, networking, digital games, home appliances, gaming desks/chairs, and TVs. It provides supply chain third-party services, such as Shipped by Newegg, offers warehousing and fulfillment services; Newegg Logistics, provides warehousing, inventory management, order processing, packing, and shipping; and Newegg Staffing, offers clerical, manufacturing, and logistics employee placement. In addition, the company operates B2C platforms, including Newegg.com, an online e-commerce platform; Newegg.ca, an e-commerce platform focusing on IT/CE products; and Newegg Global, as well as mobile apps; and B2B platforms comprising NeweggBusiness.com. It sells its products under the Asus, MSI, HP, Lenovo, Acer, Microsoft, Samsung, LG, Gigabyte, Logitech, Intel, AMD, MSI, Corsair, ASRock, Western Digital, Seagate, Samsung, G.Skill, Meta, PlayStation, Dyson, Netgear, Nintendo, H&R Block, and Adobe brands. The company was founded in 2001 and is headquartered in City Of Industry, California. Newegg Commerce, Inc. is a subsidiary of Digital Grid (Hong Kong) Technology Co., Ltd.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for NEGG 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