$22.85-1.63 (-6.66%)
Navitas Semiconductor Corporation designs, develops, and markets power semiconductors in the United States, Europe, China, rest of Asia, and internationally.
Navitas Semiconductor Corporation in the Technology sector is trading at $22.85 with a market capitalization of $6.9B. Wall Street consensus targets $14.46 (8 analysts), implying a -36.7% move over the next 12 months. The stock is currently 33% below its 52-week high of $34.17, remaining 104.2% above its 200-day moving average. On fundamentals, Piotroski 3/9 flags weak fundamentals, Altman Z in the safe zone. The Whystock Score of 70/100 reflects bullish alignment across trend, valuation and analyst targets.
Simplified model based on P/E and ROE. Not a substitute for full valuation analysis. Data may be delayed. See our Terms.
Navitas Semiconductor Corporation designs, develops, and markets power semiconductors in the United States, Europe, China, rest of Asia, and internationally. The company offers gallium nitride power integrated circuits, silicon carbide power devices,...
Navitas stock had been up big this week, but its gains collapsed.
A small power-chip company that most investors never tracked closely is now one of the most argued-over names on the Nasdaq. Navitas Semiconductor Corp (NVTS) spent the past week swinging hard, first on excitement about its place in Nvidia’s AI data center plans, then on a sharp selloff that hit ...
Navitas Semiconductor (NVTS) is back in focus after Nvidia showcased the company’s 800 V to 6 V DC DC power delivery board at Computex 2026, alongside a fresh partnership on advanced AI data center infrastructure. See our latest analysis for Navitas Semiconductor. The latest Nvidia collaboration sits against a backdrop of sharp share price swings, with the stock down 18.23% over the past day but showing a 30 day share price return of 50.36% and a 1 year total shareholder return of 305.83%,...
Macroeconomic concerns just spurred a massive sell-off for Navitas stock.
Navitas Semiconductor solves severe thermal bottlenecks in artificial intelligence server racks by fundamentally transforming power delivery architecture.