Arbe Robotics (NASDAQ:ARBE – Get Free Report) posted its quarterly earnings results on Tuesday. The company reported ($0.12) EPS for the quarter, missing analysts’ consensus estimates of ($0.08) by ($0.04), Zacks reports. Arbe Robotics had a negative net margin of 4,567.91% and a negative return on equity of 102.87%. Arbe Robotics updated its FY 2025 guidance to EPS.
Arbe Robotics Trading Down 7.9%
ARBE stock opened at $1.63 on Tuesday. The stock’s 50 day simple moving average is $1.24 and its 200 day simple moving average is $1.84. Arbe Robotics has a 12-month low of $0.85 and a 12-month high of $5.09. The stock has a market capitalization of $146.85 million, a PE ratio of -2.20 and a beta of 0.30.
Analyst Ratings Changes
ARBE has been the topic of a number of recent analyst reports. Maxim Group lowered Arbe Robotics from a “buy” rating to a “hold” rating in a research report on Thursday, March 6th. Canaccord Genuity Group started coverage on shares of Arbe Robotics in a report on Tuesday, April 1st. They set a “buy” rating and a $1.75 target price for the company.
Institutional Inflows and Outflows
An institutional investor recently bought a new position in Arbe Robotics stock. Cubist Systematic Strategies LLC acquired a new stake in shares of Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) in the first quarter, according to the company in its most recent filing with the Securities and Exchange Commission (SEC). The institutional investor acquired 61,383 shares of the company’s stock, valued at approximately $63,000. Cubist Systematic Strategies LLC owned about 0.07% of Arbe Robotics as of its most recent filing with the Securities and Exchange Commission (SEC). Institutional investors own 33.42% of the company’s stock.
About Arbe Robotics
Arbe Robotics Ltd., a semiconductor company, provides 4D imaging radar solutions for tier 1 automotive suppliers and automotive manufacturers in China, Hong Kong, Sweden, Germany, the United States, Israel, and internationally. It offers 4D imaging radar chipset solutions that address the core issues that have caused autonomous vehicle and autopilot accidents, such as detecting stationary objects, identifying vulnerable road users, operation at poor lighting conditions, and eliminating false alarms without radar ambiguities.
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