Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) – Research analysts at Roth Capital boosted their Q1 2025 EPS estimates for Arbe Robotics in a research report issued on Sunday, January 12th. Roth Capital analyst S. Desilva now expects that the company will earn ($0.09) per share for the quarter, up from their previous estimate of ($0.10). The consensus estimate for Arbe Robotics’ current full-year earnings is ($0.58) per share. Roth Capital also issued estimates for Arbe Robotics’ Q2 2025 earnings at ($0.09) EPS, Q3 2025 earnings at ($0.09) EPS, Q4 2025 earnings at ($0.09) EPS and FY2025 earnings at ($0.35) EPS.
Separately, Maxim Group cut their price objective on Arbe Robotics from $4.00 to $3.00 and set a “buy” rating for the company in a research report on Friday, November 29th.
Arbe Robotics Trading Up 7.1 %
NASDAQ:ARBE opened at $3.00 on Wednesday. The stock has a market capitalization of $242.18 million, a P/E ratio of -4.05 and a beta of -0.04. Arbe Robotics has a 1 year low of $1.39 and a 1 year high of $5.09. The firm has a 50 day moving average of $2.02 and a 200-day moving average of $2.01.
Institutional Investors Weigh In On Arbe Robotics
An institutional investor recently raised its position in Arbe Robotics stock. Ground Swell Capital LLC increased its stake in shares of Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) by 114.8% during the 3rd quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission (SEC). The fund owned 38,024 shares of the company’s stock after purchasing an additional 20,324 shares during the quarter. Ground Swell Capital LLC’s holdings in Arbe Robotics were worth $73,000 at the end of the most recent quarter. 33.42% of the stock is owned by institutional investors and hedge funds.
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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