Ambiq Micro, Inc. (NYSE:AMBQ – Get Free Report) has been assigned a consensus rating of “Hold” from the five ratings firms that are currently covering the company, MarketBeat.com reports. Three research analysts have rated the stock with a hold recommendation and two have issued a buy recommendation on the company. The average 1 year target price among analysts that have updated their coverage on the stock in the last year is $43.75.
Several research firms have recently weighed in on AMBQ. Needham & Company LLC began coverage on shares of Ambiq Micro in a research note on Monday, August 25th. They set a “buy” rating and a $48.00 price target for the company. Bank of America began coverage on shares of Ambiq Micro in a research note on Monday, August 25th. They set a “neutral” rating and a $42.00 price target for the company. Stifel Nicolaus began coverage on shares of Ambiq Micro in a research note on Monday, August 25th. They set a “buy” rating and a $45.00 price target for the company. Wall Street Zen downgraded shares of Ambiq Micro from a “hold” rating to a “sell” rating in a research note on Saturday, August 30th. Finally, UBS Group began coverage on shares of Ambiq Micro in a research note on Monday, August 25th. They set a “neutral” rating and a $40.00 price target for the company.
Read Our Latest Report on AMBQ
Ambiq Micro Trading Down 0.9%
Ambiq Micro (NYSE:AMBQ – Get Free Report) last announced its quarterly earnings data on Thursday, September 4th. The company reported ($0.43) earnings per share (EPS) for the quarter, topping the consensus estimate of ($0.44) by $0.01. The firm had revenue of $17.87 million during the quarter, compared to the consensus estimate of $17.70 million. Ambiq Micro has set its Q3 2025 guidance at -0.350–0.280 EPS.
About Ambiq Micro
Our mission is to enable intelligence (artificial intelligence (AI) and beyond) everywhere by delivering the lowest power semiconductor solutions. We are a pioneer and leading provider of ultra-low power semiconductor solutions designed to address the significant power consumption challenges of general purpose and AI compute – especially at the edge.
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