Serve Robotics Shares Surge on Strong Analyst Outlook
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 08 Jan 26
Source: Benzinga
Serve Robotics Inc. shares rose by 15.00%, reaching a 20-day high, amid a generally weak market with the Nasdaq-100 down 0.81% and the S&P 500 down 0.25%.
This surge is attributed to strong analyst optimism, with Northland analyst Michael Latimore highlighting Serve Robotics as a top investment in physical AI. Latimore's price target of $26 suggests over 150% upside from its previous closing price, reflecting significant market enthusiasm for the company's growth potential in autonomous delivery technology.
The positive sentiment surrounding Serve Robotics indicates a strong belief in its future, especially as the company has successfully deployed over 2,000 delivery robots, despite ongoing profitability challenges.
Analyst Views on SERV
Wall Street analysts forecast SERV stock price to rise over the next 12 months. According to Wall Street analysts, the average 1-year price target for SERV is 20.00 USD with a low forecast of 15.00 USD and a high forecast of 26.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
5 Analyst Rating
5 Buy
0 Hold
0 Sell
Strong Buy
Current: 14.835
Low
15.00
Averages
20.00
High
26.00
Current: 14.835
Low
15.00
Averages
20.00
High
26.00
About SERV
Serve Robotics, Inc. is engaged in developing next generation robots for last-mile delivery services. The Company designs, develops and operates low-emission robots on its artificial intelligence (AI)-powered robotics mobility platform that serves people in public spaces, starting with food delivery. The Company’s fleet consists of over 100 robots. It has platform-level integrations with Uber Eats, which allows serve robots to provide real-time presence and status updates on those platforms and receive requests to perform deliveries with respect to customer orders placed on those platforms as needed. Its capabilities include automatic emergency braking, vehicle collision avoidance, and fail-safe mechanical braking. It uses AI methodologies to design, train and deploy a host of models on serve robots and these models are used to perform a variety of tasks, including identification of sidewalk surfaces, intersections, traffic signals, obstacles, pedestrians and vehicles, and others.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
