Ground Swell Capital LLC Acquires Shares of 17,700 Arbe Robotics Ltd. (NASDAQ:ARBE)

Ground Swell Capital LLC bought a new position in shares of Arbe Robotics Ltd. (NASDAQ:ARBE) during the 2nd quarter, HoldingsChannel.com reports. The institutional investor bought 17,700 shares of the company’s stock, valued at approximately $34,000.

Other large investors have also modified their holdings of the company. Main Street Financial Solutions LLC purchased a new position in shares of Arbe Robotics in the fourth quarter worth about $41,000. PEAK6 Investments LLC acquired a new stake in Arbe Robotics in the 1st quarter valued at about $319,000. Finally, M&G Plc purchased a new position in Arbe Robotics in the 1st quarter worth approximately $7,439,000. Hedge funds and other institutional investors own 33.42% of the company’s stock.

Arbe Robotics Price Performance

ARBE stock opened at $1.89 on Wednesday. Arbe Robotics Ltd. has a 1 year low of $1.40 and a 1 year high of $2.70. The firm has a market capitalization of $147.84 million, a PE ratio of -2.45 and a beta of -0.03. The business has a 50 day simple moving average of $2.09 and a 200-day simple moving average of $1.95.

Arbe Robotics (NASDAQ:ARBE) last issued its earnings results on Tuesday, August 6th. The company reported ($0.09) earnings per share (EPS) for the quarter, beating the consensus estimate of ($0.11) by $0.02. Arbe Robotics had a negative return on equity of 80.84% and a negative net margin of 3,318.73%. The company had revenue of $0.41 million during the quarter, compared to analysts’ expectations of $0.20 million. On average, equities research analysts expect that Arbe Robotics Ltd. will post -0.54 EPS for the current year.

Arbe Robotics 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.