Serve Robotics Inc. (NASDAQ:SERV – Get Free Report) CFO Brian Read sold 1,268 shares of Serve Robotics stock in a transaction that occurred on Tuesday, March 3rd. The stock was sold at an average price of $9.61, for a total transaction of $12,185.48. Following the completion of the sale, the chief financial officer directly owned 324,403 shares of the company’s stock, valued at approximately $3,117,512.83. This trade represents a 0.39% decrease in their position. The transaction was disclosed in a document filed with the SEC, which can be accessed through this hyperlink.
Brian Read also recently made the following trade(s):
- On Wednesday, February 11th, Brian Read sold 185 shares of Serve Robotics stock. The stock was sold at an average price of $10.17, for a total value of $1,881.45.
- On Wednesday, February 4th, Brian Read sold 3,185 shares of Serve Robotics stock. The stock was sold at an average price of $10.33, for a total value of $32,901.05.
- On Tuesday, February 3rd, Brian Read sold 1,547 shares of Serve Robotics stock. The shares were sold at an average price of $10.83, for a total value of $16,754.01.
- On Thursday, January 8th, Brian Read sold 4,748 shares of Serve Robotics stock. The shares were sold at an average price of $15.81, for a total value of $75,065.88.
- On Wednesday, December 31st, Brian Read sold 1,863 shares of Serve Robotics stock. The stock was sold at an average price of $10.37, for a total transaction of $19,319.31.
- On Friday, December 12th, Brian Read sold 6,700 shares of Serve Robotics stock. The shares were sold at an average price of $13.15, for a total transaction of $88,105.00.
- On Thursday, December 11th, Brian Read sold 371 shares of Serve Robotics stock. The stock was sold at an average price of $11.87, for a total value of $4,403.77.
- On Thursday, December 4th, Brian Read sold 7,500 shares of Serve Robotics stock. The stock was sold at an average price of $13.05, for a total value of $97,875.00.
Serve Robotics Price Performance
Shares of NASDAQ:SERV traded down $0.44 during mid-day trading on Thursday, reaching $9.40. 2,753,884 shares of the company traded hands, compared to its average volume of 5,875,647. The company’s 50 day moving average price is $11.39 and its 200-day moving average price is $11.65. The firm has a market cap of $700.14 million, a PE ratio of -6.31 and a beta of 0.90. Serve Robotics Inc. has a 52 week low of $4.66 and a 52 week high of $18.64.
Institutional Trading of Serve Robotics
Wall Street Analyst Weigh In
A number of brokerages have recently issued reports on SERV. Oppenheimer initiated coverage on shares of Serve Robotics in a research note on Thursday, December 18th. They issued an “outperform” rating and a $20.00 price objective for the company. Northland Securities restated an “outperform” rating and issued a $26.00 price objective on shares of Serve Robotics in a research report on Friday, January 2nd. LADENBURG THALM/SH SH raised Serve Robotics to a “strong-buy” rating in a research note on Thursday, December 18th. Weiss Ratings reiterated a “sell (d-)” rating on shares of Serve Robotics in a research report on Monday, December 29th. Finally, Cantor Fitzgerald reiterated an “overweight” rating on shares of Serve Robotics in a research note on Monday, November 17th. Two analysts have rated the stock with a Strong Buy rating, five have issued a Buy rating and one has assigned a Sell rating to the company’s stock. According to MarketBeat, the stock currently has an average rating of “Buy” and an average price target of $18.80.
Check Out Our Latest Stock Report on Serve Robotics
Serve Robotics Company Profile
Serve Robotics develops and operates autonomous sidewalk delivery robots designed to transform last-mile logistics for restaurants, retailers and grocery brands. By combining proprietary hardware, sensor suites and dispatch software, the company enables on-demand deliveries of food, beverages and consumer goods while minimizing reliance on traditional vehicle fleets.
The core Serve robot integrates four-wheeled mobility, LiDAR and vision cameras with AI-driven navigation algorithms to detect obstacles, traverse urban sidewalks and interact safely with pedestrians.
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