Ambiq Micro (NYSE:AMBQ – Get Free Report) and Aeluma (NASDAQ:ALMU – Get Free Report) are both small-cap manufacturing companies, but which is the better business? We will contrast the two businesses based on the strength of their risk, valuation, earnings, dividends, institutional ownership, profitability and analyst recommendations.
Analyst Recommendations
This is a breakdown of current ratings for Ambiq Micro and Aeluma, as reported by MarketBeat.
| Sell Ratings | Hold Ratings | Buy Ratings | Strong Buy Ratings | Rating Score | |
| Ambiq Micro | 1 | 3 | 2 | 0 | 2.17 |
| Aeluma | 1 | 0 | 2 | 0 | 2.33 |
Ambiq Micro currently has a consensus price target of $41.75, suggesting a potential upside of 24.83%. Aeluma has a consensus price target of $25.50, suggesting a potential upside of 14.71%. Given Ambiq Micro’s higher probable upside, equities analysts plainly believe Ambiq Micro is more favorable than Aeluma.
Earnings & Valuation
| Gross Revenue | Price/Sales Ratio | Net Income | Earnings Per Share | Price/Earnings Ratio | |
| Ambiq Micro | $76.07 million | 8.05 | -$39.66 million | N/A | N/A |
| Aeluma | $4.66 million | 85.20 | -$3.02 million | ($0.27) | -82.33 |
Aeluma has lower revenue, but higher earnings than Ambiq Micro.
Profitability
This table compares Ambiq Micro and Aeluma’s net margins, return on equity and return on assets.
| Net Margins | Return on Equity | Return on Assets | |
| Ambiq Micro | N/A | N/A | N/A |
| Aeluma | -67.97% | -18.15% | -15.59% |
Summary
Ambiq Micro beats Aeluma on 5 of the 8 factors compared between the two stocks.
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. Our customers rely on Ambiq to deliver AI compute closer to end users (edge environments) where power consumption challenges are the most severe. Our leading position is built upon our hardware and software innovations that deliver two to five times lower power consumption than traditional semiconductor designs. Our products power over 270 million devices today. We shipped more than 42 million units in 2024, and we estimate that over 40% of them ran AI algorithms. We seek to drive growth in AI adoption at the edge in the personal devices, medical/healthcare, industrial edge, and smart home and building markets and continue to set new standards in edge AI performance and power efficiency. Over time, we expect to integrate our ultra-low power technology into additional chip products that benefit from greater power efficiency, including high-performance compute applications such as AI data centers and automotive. AI is perhaps the most disruptive and revolutionary technology trend of recent history, estimated to represent $23 trillion of global annual spend by 2040, according to McKinsey. AI use cases continue to permeate our lives and improve our daily productivity by enabling us to interact with devices via voice and gestures, unlock our homes with facial recognition, track health accurately and intelligently, and hold clear calls amidst loud background noise. To date, a majority of AI compute has been deployed in data centers due to its large physical scale and the need for wall plug energy, as AI compute requires enormous and steady energy resources. At the edge, however, power limitations have been especially acute due to small device size and limited battery life. We believe this greatly constrains the potential of AI to improve our daily, on-the-go lives. Enabling AI at the edge – where the action takes place – with vastly improved power efficiency will allow faster real-time decision-making due to data proximity, greater data privacy, higher energy efficiency from reduced network usage, and less dependence on constant costly connections to the cloud. We believe new AI use cases will only be possible if edge devices are much more power efficient. Our proprietary Sub-threshold Power Optimized Technology (SPOT) platform is designed to fundamentally and cost-effectively reduce power consumption of battery- and wireline-powered devices alike. Depending on the application, devices incorporating SPOT demonstrate a two to five times reduction in power consumption compared to conventional integrated circuit designs. SPOT is a ground-breaking approach at the chip design level that incorporates sub- and near-threshold hardware without using expensive manufacturing processes. We provide a full-stack solution encompassing tightly integrated hardware and software. Our solutions include a diverse family of systems-on-chip (SoCs) and the software required to enable on-chip AI processing, general compute, sensing, security, storage, wireless connectivity, and advanced graphics. Our SoC solutions deliver compute at a very small fraction of the power consumed by our competitors’ products. Our ultra-low power SoCs serve a wide range of markets requiring on-device and real-time AI, including smartwatches and fitness trackers, augmented and virtual reality (AR/VR) glasses, smart rings, digital health monitors, security systems and access control, livestock tracking, crop monitoring, and factory automation. These devices increasingly offer on-chip AI-powered features such as speech recognition, domain-specific language models, image and video processing, and sensing, further straining power consumption, which our solutions are positioned to address. As global demand for our SoC solutions accelerates, our sales and marketing efforts are increasingly focused on our end customers in target geographies such as the United States, Europe, and Asia (ex-MainlandChina). We were incorporated in Delaware on January 20, 2010 under the name Cubiq Microchip, Inc., and in October 2012, changed our name to Ambiq Micro, Inc. Our principal executive offices are located in Austin, Texas.
About Aeluma
Aeluma, Inc. develops optoelectronic and electronic devices in the United States. The company manufactures semiconductor materials and chips using compound semiconductors on diameter substrates that are used to manufacture mass market microelectronics. It offers its devices for use in mobile, automotive, AI, defence and aerospace, communication, AR/VR, and HPC applications, as well as laser emitters, transistors for integrated circuits, quantum photonic circuits, and solar cells applications. Aeluma, Inc. was formerly known as Parc Investments, Inc. and changed its name to Aeluma, Inc. June 2021. The company was founded in 2019 and is headquartered in Goleta, California.
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