Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) – Research analysts at Roth Capital issued their Q1 2026 earnings estimates for Arbe Robotics in a research note issued to investors on Sunday, January 12th. Roth Capital analyst S. Desilva forecasts 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 dropped their price target on Arbe Robotics from $4.00 to $3.00 and set a “buy” rating on the stock in a research note on Friday, November 29th.
Arbe Robotics Stock Up 9.0 %
Shares of NASDAQ:ARBE opened at $3.27 on Tuesday. The firm has a market cap of $263.97 million, a price-to-earnings ratio of -4.42 and a beta of -0.04. Arbe Robotics has a 12 month low of $1.39 and a 12 month high of $5.09. The company’s fifty day simple moving average is $2.02 and its 200 day simple moving average is $2.01.
Hedge Funds Weigh In On Arbe Robotics
An institutional investor recently raised its position in Arbe Robotics stock. Ground Swell Capital LLC grew its holdings in Arbe Robotics Ltd. (NASDAQ:ARBE – Free Report) by 114.8% during the third quarter, according to its most recent disclosure 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 period. 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 hedge funds and other institutional investors.
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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