Ambiq Micro (AMBQ)
Market Price (5/18/2026): $70.3 | Market Cap: $1.4 BilSector: Information Technology | Industry: Semiconductors
Ambiq Micro (AMBQ)
Market Price (5/18/2026): $70.3Market Cap: $1.4 BilSector: Information TechnologyIndustry: Semiconductors
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -14% Megatrend and thematic driversMegatrends include Artificial Intelligence, and Digital Health & Telemedicine. Themes include Edge AI, Wearable Health Devices, Show more. | Trading close to highsDist 52W High is -3.7%, Dist 3Y High is -3.7% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -42 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -52% Stock price has recently run up significantly6M Rtn6 month market price return is 186% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 11% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -39%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -52% Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 144% Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -6.9% Key risksAMBQ key risks include [1] slowing revenue growth and persistent operating losses, Show more. |
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -14% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Digital Health & Telemedicine. Themes include Edge AI, Wearable Health Devices, Show more. |
| Trading close to highsDist 52W High is -3.7%, Dist 3Y High is -3.7% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -42 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -52% |
| Stock price has recently run up significantly6M Rtn6 month market price return is 186% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 11% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -39%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -52% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 144% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -6.9% |
| Key risksAMBQ key risks include [1] slowing revenue growth and persistent operating losses, Show more. |
Qualitative Assessment
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Ambiq Micro (AMBQ) stock has gained about 130% since 1/31/2026 because of the following key factors:
1. Exceptional Q1 2026 Financial Performance and Upbeat Guidance. Ambiq Micro's first-quarter 2026 earnings, reported on May 12, 2026, significantly surpassed Wall Street expectations, serving as a major catalyst for the stock's surge. The company announced net sales of $25.1 million, a 59.3% year-over-year increase, beating analyst estimates by over $3 million. Additionally, Ambiq Micro reported a diluted loss per share of -$0.25, outperforming estimates by $0.11. This strong performance was coupled with an optimistic Q2 2026 net sales guidance of $31.0 million to $32.0 million, representing an anticipated 73-79% year-over-year growth. These results led to the stock soaring over 30% in pre-market trading immediately after the announcement.
2. Accelerating Demand for Ultra-Low-Power Edge AI Solutions. The company's substantial growth was primarily driven by accelerating demand for its ultra-low-power semiconductor solutions within the rapidly expanding edge AI market. In Q1 2026, over 80% of the units shipped by Ambiq Micro were running AI algorithms, underscoring the strong customer adoption of its products for on-device intelligence. This trend highlights Ambiq Micro's crucial role in enabling energy-efficient AI capabilities at the edge.
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1. Exceptional Q1 2026 Financial Performance and Upbeat Guidance. Ambiq Micro's first-quarter 2026 earnings, reported on May 12, 2026, significantly surpassed Wall Street expectations, serving as a major catalyst for the stock's surge. The company announced net sales of $25.1 million, a 59.3% year-over-year increase, beating analyst estimates by over $3 million. Additionally, Ambiq Micro reported a diluted loss per share of -$0.25, outperforming estimates by $0.11. This strong performance was coupled with an optimistic Q2 2026 net sales guidance of $31.0 million to $32.0 million, representing an anticipated 73-79% year-over-year growth. These results led to the stock soaring over 30% in pre-market trading immediately after the announcement.
2. Accelerating Demand for Ultra-Low-Power Edge AI Solutions. The company's substantial growth was primarily driven by accelerating demand for its ultra-low-power semiconductor solutions within the rapidly expanding edge AI market. In Q1 2026, over 80% of the units shipped by Ambiq Micro were running AI algorithms, underscoring the strong customer adoption of its products for on-device intelligence. This trend highlights Ambiq Micro's crucial role in enabling energy-efficient AI capabilities at the edge.
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Stock Movement Drivers
Fundamental Drivers
The 132.2% change in AMBQ stock from 1/31/2026 to 5/17/2026 was primarily driven by a 0.0% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 1312026 | 5172026 | Change |
|---|---|---|---|
| Stock Price ($) | 30.39 | 70.57 | 132.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | � | 82 | 0.0% |
| P/S Multiple | � | 17.6 | 0.0% |
| Shares Outstanding (Mil) | 14 | 20 | -33.3% |
| Cumulative Contribution | 0.0% |
Market Drivers
1/31/2026 to 5/17/2026| Return | Correlation | |
|---|---|---|
| AMBQ | 132.2% | |
| Market (SPY) | 7.1% | 36.2% |
| Sector (XLK) | 22.7% | 30.4% |
Fundamental Drivers
The 130.9% change in AMBQ stock from 10/31/2025 to 5/17/2026 was primarily driven by a 0.0% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 10312025 | 5172026 | Change |
|---|---|---|---|
| Stock Price ($) | 30.56 | 70.57 | 130.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | � | 82 | 0.0% |
| P/S Multiple | � | 17.6 | 0.0% |
| Shares Outstanding (Mil) | 14 | 20 | -33.3% |
| Cumulative Contribution | 0.0% |
Market Drivers
10/31/2025 to 5/17/2026| Return | Correlation | |
|---|---|---|
| AMBQ | 130.9% | |
| Market (SPY) | 9.0% | 39.6% |
| Sector (XLK) | 17.6% | 36.9% |
Fundamental Drivers
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Market Drivers
4/30/2025 to 5/17/2026| Return | Correlation | |
|---|---|---|
| AMBQ | ||
| Market (SPY) | 34.8% | 39.8% |
| Sector (XLK) | 68.8% | 35.2% |
Fundamental Drivers
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Market Drivers
4/30/2023 to 5/17/2026| Return | Correlation | |
|---|---|---|
| AMBQ | ||
| Market (SPY) | 84.7% | 39.8% |
| Sector (XLK) | 138.6% | 35.2% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| AMBQ Return | - | - | - | - | -26% | 157% | 90% |
| Peers Return | 29% | -26% | 14% | 1% | -2% | 62% | 74% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 10% | 100% |
Monthly Win Rates [3] | |||||||
| AMBQ Win Rate | - | - | - | - | 50% | 80% | |
| Peers Win Rate | 58% | 32% | 55% | 42% | 48% | 64% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 60% | |
Max Drawdowns [4] | |||||||
| AMBQ Max Drawdown | - | - | - | - | - | -33% | |
| Peers Max Drawdown | -24% | -38% | -36% | -32% | -42% | -21% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: SLAB, NXPI, MCHP, TXN, CEVA.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2026 data is for the year up to 5/15/2026 (YTD)
How Low Can It Go
AMBQ has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -17.0% | -7.8% |
| % Gain to Breakeven | 20.4% | 8.5% |
| Time to Breakeven | 92 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -10.0% | -9.5% |
| % Gain to Breakeven | 11.2% | 10.5% |
| Time to Breakeven | 15 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
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AMBQ has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -51.5% | -53.4% |
| % Gain to Breakeven | 106.2% | 114.4% |
| Time to Breakeven | 797 days | 1085 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About Ambiq Micro (AMBQ)
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.
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- The Nvidia for ultra-low power AI chips at the edge.
- The Qualcomm for highly efficient, battery-powered AI devices.
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```html- Ultra-low Power Systems-on-Chip (SoCs): These are semiconductor chips designed with proprietary SPOT technology to provide significantly reduced power consumption for AI and general compute applications at the edge.
- Integrated Software Solutions: This software suite is provided alongside their SoCs to enable on-chip AI processing, general compute, sensing, security, storage, wireless connectivity, and advanced graphics.
AI Analysis | Feedback
Ambiq Micro (AMBQ) primarily sells its ultra-low power semiconductor solutions (Systems-on-Chip or SoCs and associated software) to other companies (Business-to-Business, B2B) who integrate these components into their final products. The company's solutions are designed for device manufacturers creating products for various markets that require on-device and real-time AI and high power efficiency.
Based on the provided company description, Ambiq Micro's customers are manufacturers of devices in the following categories:
- Personal Devices: Manufacturers of products such as smartwatches, fitness trackers, augmented and virtual reality (AR/VR) glasses, and smart rings.
- Medical/Healthcare Devices: Companies developing digital health monitors.
- Industrial Edge & Smart Home/Building: Manufacturers involved in security systems and access control, livestock tracking, crop monitoring, factory automation, and smart home/building devices.
The provided company description does not, however, identify the specific names of Ambiq Micro's major customer companies.
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Ambiq Micro Management Team
Fumihide Esaka, Chief Executive Officer and Director
Fumihide Esaka has over 20 years of senior management experience in the semiconductor industry. Prior to joining Ambiq Micro in December 2015, he held CEO roles at Nihon Inter Electronics Corp. (from 2011 to 2013) and Transphorm Inc. (from 2013 to 2015). Mr. Esaka also served as a Vice President at International Rectifier, joining in 1995, and spent six years as a manager at Accenture. He holds a BA in Electrical Engineering and Computer Science from the University of California, San Diego.
Jeffrey G. Winzeler, Chief Financial Officer and Principal Accounting Officer
Jeffrey G. Winzeler possesses over 20 years of experience as a CFO and COO within the semiconductor and renewable energy industries. He has successfully led global finance teams at both private and public startups, including Kandou AI, Everspin Technologies, Avnera, Rackwise, Solar Power Incorporated, and International DisplayWorks. Throughout his career, Mr. Winzeler has raised over $1 billion in equity and debt financing.
Scott Hanson, Founder, Chief Technology Officer and Director
Scott Hanson co-founded Ambiq Micro in 2010, contributing to the development of its Sub-threshold Power Optimized Technology (SPOT) platform at the University of Michigan. He is recognized as an expert in ultra-low energy and variation-tolerant circuits. Dr. Hanson earned his Ph.D. in Electrical Engineering from the University of Michigan and has authored over 30 publications and holds 7 patent filings related to energy-efficient circuits.
Sean Chen, President and Chief Operating Officer
Sean Chen brings over 20 years of experience in the semiconductor industry. His background includes serving as Vice President of Marketing and Business Development at mCube, as well as holding management positions at various startups, Nagevtech, Intel, IDT, and TSMC.
Michele Connors, General Counsel
Michele Connors has over 20 years of legal experience, providing counsel to both startup and established technology companies such as Cirrus Logic and Dell Technologies. She has also served as litigation counsel at respected law firms.
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Key Risks to Ambiq Micro (AMBQ)
- Loss of Technological Advantage and Intense Competition: Ambiq Micro's business model and "leading position" are built upon its proprietary Sub-threshold Power Optimized Technology (SPOT) platform, which enables two to five times lower power consumption than traditional semiconductor designs. A significant risk is that competitors in the highly competitive semiconductor industry could develop similar or superior ultra-low power solutions, or that alternative power-saving technologies could emerge. Such developments would erode Ambiq Micro's key differentiator, potentially leading to a loss of market share and reduced demand for its Systems-on-Chip (SoC) solutions.
- Reliance on AI at the Edge Market Growth: Ambiq Micro's mission and growth strategy are fundamentally tied to "driving growth in AI adoption at the edge" across markets like personal devices, medical/healthcare, industrial edge, and smart home and building. If the actual adoption rate of AI at the edge is slower than anticipated, or if the specific AI use cases they target do not materialize or gain traction as expected, the demand for their ultra-low power semiconductor solutions could be adversely affected, impacting their projected growth.
- Dependency on Specific End-Markets and Geographies: Although Ambiq Micro serves a "wide range of markets," the company explicitly focuses on specific end-markets such as smartwatches, fitness trackers, augmented and virtual reality (AR/VR) glasses, digital health monitors, and security systems. Additionally, their sales and marketing efforts are increasingly concentrated on target geographies including the United States, Europe, and Asia (ex-Mainland China). Negative trends, economic downturns, or intensified competition within any of these particular market segments or geographical regions could disproportionately impact Ambiq Micro's sales volumes and financial performance.
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nullAI Analysis | Feedback
Ambiq Micro operates within several significant and rapidly expanding addressable markets for its ultra-low power semiconductor solutions, primarily focused on enabling artificial intelligence (AI) at the edge. The key addressable markets for Ambiq Micro globally include the broader Edge AI market, the Ultra-Low-Power Microcontroller/Semiconductor market, and specific application areas such as wearable AI, industrial edge AI, and healthcare edge computing. The global edge AI market, which encompasses Ambiq Micro's core focus, was valued at approximately USD 35.81 billion in 2025 and is projected to reach USD 385.89 billion by 2034. Another estimate placed the global edge AI market at USD 24.97 billion in 2025, with a forecast to surpass USD 170.56 billion by 2035. A significant portion of this market is the hardware segment, which constituted over 50% of the edge AI market in 2025 and 2026, driven by the demand for chipsets with high processing power and low consumption for IoT devices. Specifically, the global edge AI processor market is expected to grow from $28 billion in 2025 to $95 billion by 2030. The global Edge AI Hardware Market is estimated to be worth $26.14 billion in 2025 and is poised to reach $58.90 billion by 2030. Within the broader semiconductor landscape, the global ultra-low-power microcontroller market, which directly relates to Ambiq Micro's technology, was valued at approximately USD 5.59 billion in 2023 and is projected to grow to nearly USD 10.22 billion by 2030. The larger low-power semiconductor devices market, which includes Ambiq's offerings, is estimated at USD 15.60 billion in 2024 and is projected to reach USD 34.80 billion by 2032. Ambiq Micro's solutions are also integral to specific high-growth application markets: * **Wearable AI:** The global wearable AI market size was valued at approximately USD 43.64 billion in 2025 and is projected to reach USD 310.56 billion by 2033. Other estimates for this market show a value of USD 27.07 billion in 2022, growing to USD 221.35 billion by 2031, and USD 62.71 billion in 2024, projected to reach USD 138.50 billion by 2029. * **Edge AI in Smart Devices (including consumer electronics):** The global Edge AI in Smart Devices Market size is expected to be worth around USD 385 billion by 2034, up from USD 27.5 billion in 2024. The consumer electronics segment held a leading market share in this area in 2024. * **Industrial Edge AI / Edge AI in Industrial Automation:** The global Edge AI in Industrial Automation Market size is expected to reach $268.5 billion by 2031. The overall global industrial edge market was valued at USD 21.29 billion in 2024 and is projected to reach USD 45.03 billion by 2030. * **Edge Computing in Healthcare (Medical/Healthcare):** The global edge computing in healthcare market size was calculated at USD 8.21 billion in 2025 and is predicted to increase from USD 9.78 billion in 2026 to approximately USD 47.23 billion by 2035. Another source states the market was valued at USD 8.16 billion in 2025, growing to USD 23.22 billion by 2031.AI Analysis | Feedback
Ambiq Micro (AMBQ) is expected to drive future revenue growth over the next 2-3 years through several key initiatives: * Accelerated Adoption of Edge AI: Ambiq Micro's core mission is to enable artificial intelligence (AI) everywhere by providing ultra-low-power semiconductor solutions, especially at the edge. Over 80% of the units the company shipped in 2025 ran AI algorithms, indicating a strong existing trend and significant future potential as more devices integrate sophisticated AI capabilities. This increasing demand for power-efficient AI processing at the edge is a fundamental driver across its target markets. * New Product Launches and Expanded Product Lines: The company anticipates significant revenue growth from the introduction and expansion of its Apollo and Atomic product families. The Apollo5 family is already seeing broader adoption, and Ambiq is accelerating the development of its next-generation Atomic platform, which is built on a 12nm FinFET process with TSMC. Atomic will feature an integrated Neural Processing Unit (NPU), Graphics Processing Unit (GPU), and embedded memory, enabling more sophisticated AI capabilities at ultra-low voltages, with meaningful contributions expected from 2028. New software offerings like the Helia AI runtime also enhance their full-stack solution. * Expansion into Diverse Edge AI Markets: While wearables remain a significant market, Ambiq is actively diversifying its customer base and expanding its design funnel into new non-wearable markets. These include industrial edge, medical/healthcare, and smart home and building markets. Management expects non-wearable applications, such as predictive maintenance sensors, cardiac monitors, and smart building solutions, to represent a greater share of revenue in 2026 and beyond. * New Customer Ramps and Broader Customer Adoption: Ambiq has secured a large wearable customer whose ramp-up began in Q1 2026, with expectations for strong growth through 2027. The company also attributes sequential net sales increases to the broader adoption of Ambiq solutions within existing customer portfolios and customers upgrading to more advanced platforms like Apollo5. * Increase in Average Selling Price (ASP): The transition to new, more advanced product lines, particularly Apollo5 and the upcoming Atomic chips, is expected to lead to a significant increase in Average Selling Price (ASP). This shift towards higher-value offerings will contribute to revenue growth and improved gross margins, even as the company strategically repositions itself towards higher-value customers and away from lower-margin business in Mainland China.AI Analysis | Feedback
Share Issuance
- Ambiq Micro completed an initial public offering (IPO) in July 2025, generating gross proceeds of $110.4 million from the sale of 4,600,000 shares at $24.00 per share, including the full exercise of the underwriters' option.
- A follow-on offering in early 2026 generated an additional $76.8 million in net proceeds.
- In the second quarter of 2024, Ambiq Micro issued 57,068,338 shares of Series G preferred stock, resulting in cash proceeds of $51.5 million.
Inbound Investments
- The company raised $51.5 million in cash proceeds through the issuance of Series G preferred stock in the second quarter of 2024.
- Ambiq Micro's initial public offering in July 2025 brought in gross proceeds of $110.4 million from public investors.
Capital Expenditures
- Research and development expenses, reflecting investments in enhancing existing solutions and developing future product offerings, were $38.5 million in 2025 and $37.2 million in 2024.
- Non-GAAP operating expense is projected to be approximately $30 million higher in 2026 compared to 2025, primarily due to accelerated development of the Atomiq and Apollo product families.
- Ambiq operates on a fabless model, relying on third-party manufacturers like TSMC and packaging/test providers, which influences the nature of its capital expenditures.
Trade Ideas
Select ideas related to AMBQ.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 04302026 | PLTR | Palantir Technologies | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.0% | 0.0% | 0.0% |
| 04102026 | ADSK | Autodesk | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 8.5% | 8.5% | 0.0% |
| 04102026 | BSY | Bentley Systems | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 4.2% | 4.2% | 0.0% |
| 04102026 | ENPH | Enphase Energy | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 5.7% | 5.7% | 0.0% |
| 04102026 | BL | BlackLine | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 3.2% | 3.2% | -3.0% |
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 155.22 |
| Mkt Cap | 28.9 |
| Rev LTM | 2,596 |
| Op Inc LTM | 133 |
| FCF LTM | 419 |
| FCF 3Y Avg | 1,535 |
| CFO LTM | 482 |
| CFO 3Y Avg | 1,735 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 4.9% |
| Rev Chg 3Y Avg | -1.4% |
| Rev Chg Q | 17.1% |
| QoQ Delta Rev Chg LTM | 4.0% |
| Op Inc Chg LTM | -4.4% |
| Op Inc Chg 3Y Avg | -41.4% |
| Op Mgn LTM | -0.2% |
| Op Mgn 3Y Avg | 19.0% |
| QoQ Delta Op Mgn LTM | 1.8% |
| CFO/Rev LTM | 13.6% |
| CFO/Rev 3Y Avg | 24.2% |
| FCF/Rev LTM | 10.4% |
| FCF/Rev 3Y Avg | 11.6% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 28.9 |
| P/S | 10.3 |
| P/Op Inc | -5.5 |
| P/EBIT | -7.5 |
| P/E | -61.7 |
| P/CFO | 29.7 |
| Total Yield | 0.3% |
| Dividend Yield | 0.7% |
| FCF Yield 3Y Avg | 1.2% |
| D/E | 0.0 |
| Net D/E | -0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 33.7% |
| 3M Rtn | 27.4% |
| 6M Rtn | 77.9% |
| 12M Rtn | 65.1% |
| 3Y Rtn | 71.8% |
| 1M Excs Rtn | 31.2% |
| 3M Excs Rtn | 19.0% |
| 6M Excs Rtn | 62.8% |
| 12M Excs Rtn | 38.2% |
| 3Y Excs Rtn | -1.8% |
Price Behavior
Price Behavior
| Market Price | $70.57 | |
| Market Cap ($ Bil) | 0.9 | |
| First Trading Date | 07/30/2025 | |
| Distance from 52W High | -3.7% | |
| 50 Days | 200 Days | |
| DMA Price | $54.55 | $54.55 |
| DMA Trend | up | up |
| Distance from DMA | 29.4% | 29.4% |
| 3M | 1YR | |
| Volatility | 116.3% | 91.0% |
| Downside Capture | 57.25 | 291.91 |
| Upside Capture | 365.33 | 314.88 |
| Correlation (SPY) | 35.0% |
AMBQ Betas & Captures as of 4/30/2026
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.88 | 2.70 | 2.51 | 2.55 | 0.12 | -0.21 |
| Up Beta | 2.16 | 2.50 | 2.50 | 2.17 | -1.37 | -0.91 |
| Down Beta | 0.13 | 5.16 | 3.49 | 2.83 | 0.22 | -0.05 |
| Up Capture | 316% | 265% | 269% | 392% | 310% | 30% |
| Bmk +ve Days | 15 | 22 | 31 | 66 | 141 | 428 |
| Stock +ve Days | 14 | 23 | 33 | 65 | 95 | 95 |
| Down Capture | -40% | 201% | 203% | 200% | 184% | 94% |
| Bmk -ve Days | 4 | 18 | 30 | 56 | 108 | 321 |
| Stock -ve Days | 6 | 18 | 28 | 57 | 91 | 91 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AMBQ | |
|---|---|---|---|---|
| AMBQ | 83.6% | 91.0% | 1.21 | - |
| Sector ETF (XLK) | 51.7% | 20.5% | 1.93 | 35.2% |
| Equity (SPY) | 27.4% | 12.1% | 1.71 | 39.8% |
| Gold (GLD) | 42.5% | 26.8% | 1.30 | 9.5% |
| Commodities (DBC) | 45.4% | 18.5% | 1.88 | 1.2% |
| Real Estate (VNQ) | 11.5% | 13.5% | 0.56 | 10.4% |
| Bitcoin (BTCUSD) | -23.7% | 41.8% | -0.54 | 16.5% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AMBQ | |
|---|---|---|---|---|
| AMBQ | 12.9% | 91.0% | 1.21 | - |
| Sector ETF (XLK) | 22.0% | 24.8% | 0.78 | 35.2% |
| Equity (SPY) | 13.6% | 17.1% | 0.63 | 39.8% |
| Gold (GLD) | 19.4% | 17.9% | 0.88 | 9.5% |
| Commodities (DBC) | 10.9% | 19.4% | 0.45 | 1.2% |
| Real Estate (VNQ) | 2.9% | 18.8% | 0.06 | 10.4% |
| Bitcoin (BTCUSD) | 7.2% | 55.9% | 0.34 | 16.5% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AMBQ | |
|---|---|---|---|---|
| AMBQ | 6.2% | 91.0% | 1.21 | - |
| Sector ETF (XLK) | 25.0% | 24.4% | 0.92 | 35.2% |
| Equity (SPY) | 15.5% | 17.9% | 0.74 | 39.8% |
| Gold (GLD) | 13.0% | 16.0% | 0.67 | 9.5% |
| Commodities (DBC) | 8.3% | 17.9% | 0.38 | 1.2% |
| Real Estate (VNQ) | 5.0% | 20.7% | 0.21 | 10.4% |
| Bitcoin (BTCUSD) | 67.4% | 66.9% | 1.06 | 16.5% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 3/5/2026 | 7.1% | 11.7% | 1.6% |
| 9/4/2025 | -15.2% | -9.9% | -26.5% |
| SUMMARY STATS | |||
| # Positive | 1 | 1 | 1 |
| # Negative | 1 | 1 | 1 |
| Median Positive | 7.1% | 11.7% | 1.6% |
| Median Negative | -15.2% | -9.9% | -26.5% |
| Max Positive | 7.1% | 11.7% | 1.6% |
| Max Negative | -15.2% | -9.9% | -26.5% |
Recent Forward Guidance [BETA]
Latest: Q1 2026 Earnings Reported 5/12/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q2 2026 Revenue | 31.00 Mil | 31.50 Mil | 32.00 Mil | 46.5% | Higher New | Guidance: 21.50 Mil for Q1 2026 | |
| Q2 2026 Operating Margin | 45.0% | 45.5% | 46.0% | 2.2% | 1.0% | Higher New | Guidance: 44.5% for Q1 2026 |
| Q2 2026 EPS | -0.29 | -0.26 | -0.23 | -27.8% | Higher New | Guidance: -0.36 for Q1 2026 | |
| 2026 Net sales outside of personal devices growth | 100.0% | ||||||
Prior: Q4 2025 Earnings Reported 3/5/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q1 2026 Revenue | 21.00 Mil | 21.50 Mil | 22.00 Mil | 13.2% | Raised | Guidance: 19.00 Mil for Q4 2025 | |
| Q1 2026 Non-GAAP Gross Margin | 44.0% | 44.5% | 45.0% | ||||
| Q1 2026 Non-GAAP Operating Expense | 18.00 Mil | 18.25 Mil | 18.50 Mil | ||||
| Q1 2026 Non-GAAP Net Loss Per Share | -0.39 | -0.36 | -0.33 | -7.7% | Raised | Guidance: -0.39 for Q4 2025 | |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Connors, Michele Kim | General Counsel | Direct | Sell | 4062026 | 26.15 | 811 | 21,210 | 1,583,640 | Form |
| 2 | Hanson, Scott McLean | Chief Technology Officer | Direct | Sell | 1282026 | 31.00 | 10,000 | 310,000 | 3,807,358 | Form |
| 3 | Tautges, Joseph A | Direct | Sell | 1282026 | 31.00 | 7,800 | 241,800 | 1,511,126 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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