Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) – Investment analysts at Roth Capital issued their Q1 2026 earnings estimates for Arbe Robotics in a report issued on Sunday, January 12th. Roth Capital analyst S. Desilva expects that the company will earn ($0.09) per share for the quarter. The consensus estimate for Arbe Robotics’ current full-year earnings is ($0.58) per share. Roth Capital also issued estimates for Arbe Robotics’ Q2 2026 earnings at ($0.09) EPS, Q3 2026 earnings at ($0.09) EPS, Q4 2026 earnings at ($0.09) EPS and FY2026 earnings at ($0.35) EPS.
Separately, Maxim Group decreased their price objective on shares of 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 Stock Up 7.1 %
NASDAQ ARBE opened at $3.00 on Tuesday. Arbe Robotics has a 52 week low of $1.39 and a 52 week high of $5.09. The firm has a 50 day moving average of $2.02 and a two-hundred day moving average of $2.01. The stock has a market capitalization of $242.18 million, a PE ratio of -4.05 and a beta of -0.04.
Institutional Inflows and Outflows
An institutional investor recently raised its position in Arbe Robotics stock. Ground Swell Capital LLC increased its holdings in shares of Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) by 114.8% in the 3rd quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. 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. Hedge funds and other institutional investors own 33.42% of the company’s stock.
Arbe Robotics Company Profile
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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