Ambarella (AMBA)
Market Price (7/1/2026): $84.01 | Market Cap: $3.7 BilSector: Information Technology | Industry: Semiconductor Materials & Equipment
Ambarella (AMBA)
Market Price (7/1/2026): $84.01Market Cap: $3.7 BilSector: Information TechnologyIndustry: Semiconductor Materials & Equipment
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 28% Megatrend and thematic driversMegatrends include Artificial Intelligence, Autonomous Technologies, and Electric Vehicles & Autonomous Driving. Themes include Edge AI, Show more. | Weak multi-year price returns3Y Excs Rtn is -63% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -76 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -19% Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 113x Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 23% 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 -6.3% Key risksAMBA key risks include [1] significant customer concentration, Show more. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 28% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, Autonomous Technologies, and Electric Vehicles & Autonomous Driving. Themes include Edge AI, Show more. |
| Weak multi-year price returns3Y Excs Rtn is -63% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -76 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -19% |
| Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 113x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 23% |
| 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 -6.3% |
| Key risksAMBA key risks include [1] significant customer concentration, Show more. |
Qualitative Assessment
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Ambarella (AMBA) stock has gained about 65% since 3/31/2026 because of the following key factors:
1. Ambarella reported stronger-than-expected revenue for fiscal Q1 2027, which ended April 30, 2026. The company announced revenue of $100.36 million, a 16.9% increase year-over-year, which slightly surpassed analyst projections by 0.20%. Despite an initial stock dip of 21.4% following the May 28, 2026, earnings release, the underlying business performance and an optimistic fiscal Q2 2027 revenue guidance of $105 million to $111 million (midpoint $108 million) contributed to a subsequent recovery and positive sentiment.
2. The company secured a significant long-term Edge AI agreement with Hanwha. Announced on May 28, 2026, this strategic partnership is valued at over $800 million across more than 10 years. The agreement is set to expand Ambarella's market reach in key areas such as security, automation, life sciences, and robotics, signaling substantial future revenue opportunities and reinforcing investor confidence in the company's growth trajectory.
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Ambarella (AMBA) stock has gained about 65% since 3/31/2026 because of the following key factors:
1. Ambarella reported stronger-than-expected revenue for fiscal Q1 2027, which ended April 30, 2026. The company announced revenue of $100.36 million, a 16.9% increase year-over-year, which slightly surpassed analyst projections by 0.20%. Despite an initial stock dip of 21.4% following the May 28, 2026, earnings release, the underlying business performance and an optimistic fiscal Q2 2027 revenue guidance of $105 million to $111 million (midpoint $108 million) contributed to a subsequent recovery and positive sentiment.
2. The company secured a significant long-term Edge AI agreement with Hanwha. Announced on May 28, 2026, this strategic partnership is valued at over $800 million across more than 10 years. The agreement is set to expand Ambarella's market reach in key areas such as security, automation, life sciences, and robotics, signaling substantial future revenue opportunities and reinforcing investor confidence in the company's growth trajectory.
3. Ambarella benefited from increased analyst confidence and significant price target upgrades, driven by its positioning in "Physical AI." Multiple research firms reiterated or upgraded their ratings in May and June 2026. Notably, on May 29, 2026, Susquehanna boosted its price target to $110.00, while Rosenblatt Securities raised its target to $120.00, maintaining a "Buy" rating. This bullish sentiment peaked on June 30, 2026, when Rosenblatt named Ambarella a "top pick" for the second half of 2026, highlighting it as a "Physical AI pure play." This specific endorsement, citing strong demand for Ambarella's low-power AI vision processors in various edge applications, triggered a significant stock surge.
4. Continuous advancements in its Edge AI product portfolio propelled investor interest. Ambarella's 5-nanometer CV72/CV75 chips, designed for generative and agentic AI, are in a steep production ramp. Furthermore, the company anticipates the CV7 entering production by the end of the fiscal year and the 2-nanometer CV8 in early fiscal year 2028. These developments underscore Ambarella's leadership and innovation in the rapidly expanding Edge AI market, contributing to its positive stock performance.
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Stock Movement Drivers
Fundamental Drivers
The 66.7% change in AMBA stock from 3/31/2026 to 6/30/2026 was primarily driven by a 62.3% change in the company's P/S Multiple.| (LTM values as of) | 3312026 | 6302026 | Change |
|---|---|---|---|
| Stock Price ($) | 51.48 | 85.80 | 66.7% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 391 | 405 | 3.7% |
| P/S Multiple | 5.7 | 9.2 | 62.3% |
| Shares Outstanding (Mil) | 43 | 44 | -1.0% |
| Cumulative Contribution | 66.7% |
Market Drivers
3/31/2026 to 6/30/2026| Return | Correlation | |
|---|---|---|
| AMBA | 66.7% | |
| Market (SPY) | 14.8% | 52.1% |
| Sector (XLK) | 43.4% | 58.2% |
Fundamental Drivers
The 21.1% change in AMBA stock from 12/31/2025 to 6/30/2026 was primarily driven by a 13.7% change in the company's P/S Multiple.| (LTM values as of) | 12312025 | 6302026 | Change |
|---|---|---|---|
| Stock Price ($) | 70.84 | 85.80 | 21.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 374 | 405 | 8.4% |
| P/S Multiple | 8.1 | 9.2 | 13.7% |
| Shares Outstanding (Mil) | 43 | 44 | -1.7% |
| Cumulative Contribution | 21.1% |
Market Drivers
12/31/2025 to 6/30/2026| Return | Correlation | |
|---|---|---|
| AMBA | 21.1% | |
| Market (SPY) | 9.8% | 51.4% |
| Sector (XLK) | 32.5% | 57.0% |
Fundamental Drivers
The 29.9% change in AMBA stock from 6/30/2025 to 6/30/2026 was primarily driven by a 28.1% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 6302025 | 6302026 | Change |
|---|---|---|---|
| Stock Price ($) | 66.06 | 85.80 | 29.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 316 | 405 | 28.1% |
| P/S Multiple | 8.8 | 9.2 | 4.7% |
| Shares Outstanding (Mil) | 42 | 44 | -3.2% |
| Cumulative Contribution | 29.9% |
Market Drivers
6/30/2025 to 6/30/2026| Return | Correlation | |
|---|---|---|
| AMBA | 29.9% | |
| Market (SPY) | 21.9% | 50.3% |
| Sector (XLK) | 51.1% | 54.1% |
Fundamental Drivers
The 2.5% change in AMBA stock from 6/30/2023 to 6/30/2026 was primarily driven by a 30.9% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 6302023 | 6302026 | Change |
|---|---|---|---|
| Stock Price ($) | 83.67 | 85.80 | 2.5% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 309 | 405 | 30.9% |
| P/S Multiple | 10.6 | 9.2 | -13.2% |
| Shares Outstanding (Mil) | 39 | 44 | -9.8% |
| Cumulative Contribution | 2.5% |
Market Drivers
6/30/2023 to 6/30/2026| Return | Correlation | |
|---|---|---|
| AMBA | 2.5% | |
| Market (SPY) | 74.4% | 57.0% |
| Sector (XLK) | 123.3% | 59.5% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| AMBA Return | 121% | -59% | -25% | 19% | -3% | -5% | -27% |
| Peers Return | 53% | -21% | 70% | 26% | 1% | 18% | 209% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 9% | 98% |
Monthly Win Rates [3] | |||||||
| AMBA Win Rate | 67% | 33% | 50% | 42% | 58% | 33% | |
| Peers Win Rate | 65% | 42% | 60% | 43% | 50% | 47% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| AMBA Max Drawdown | -34% | -77% | -54% | -39% | -51% | -40% | |
| Peers Max Drawdown | -20% | -42% | -24% | -36% | -37% | -28% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: MBLY, NVDA, QCOM, TXN, NXPI. See AMBA Returns vs. Peers.
[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 6/30/2026 (YTD)
How Low Can It Go
| Event | AMBA | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -51.4% | -18.8% |
| % Gain to Breakeven | 105.8% | 23.1% |
| Time to Breakeven | 153 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -34.1% | -7.8% |
| % Gain to Breakeven | 51.8% | 8.5% |
| Time to Breakeven | 83 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -45.1% | -9.5% |
| % Gain to Breakeven | 82.0% | 10.5% |
| Time to Breakeven | 449 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -35.5% | -6.7% |
| % Gain to Breakeven | 55.1% | 7.1% |
| Time to Breakeven | 930 days | 31 days |
| 2020 COVID-19 Crash | ||
| % Loss | -46.2% | -33.7% |
| % Gain to Breakeven | 85.7% | 50.9% |
| Time to Breakeven | 253 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -14.7% | -19.2% |
| % Gain to Breakeven | 17.2% | 23.8% |
| Time to Breakeven | 51 days | 105 days |
In The Past
Ambarella's stock fell -51.4% during the 2025 US Tariff Shock. Such a loss loss requires a 105.8% gain to breakeven.
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| Event | AMBA | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -51.4% | -18.8% |
| % Gain to Breakeven | 105.8% | 23.1% |
| Time to Breakeven | 153 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -34.1% | -7.8% |
| % Gain to Breakeven | 51.8% | 8.5% |
| Time to Breakeven | 83 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -45.1% | -9.5% |
| % Gain to Breakeven | 82.0% | 10.5% |
| Time to Breakeven | 449 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -35.5% | -6.7% |
| % Gain to Breakeven | 55.1% | 7.1% |
| Time to Breakeven | 930 days | 31 days |
| 2020 COVID-19 Crash | ||
| % Loss | -46.2% | -33.7% |
| % Gain to Breakeven | 85.7% | 50.9% |
| Time to Breakeven | 253 days | 140 days |
| 2016-2017 Trump Reflation Bond Selloff | ||
| % Loss | -29.3% | -3.7% |
| % Gain to Breakeven | 41.5% | 3.9% |
| Time to Breakeven | 1115 days | 6 days |
| 2015-2016 China Devaluation / Global Growth Scare | ||
| % Loss | -68.1% | -12.2% |
| % Gain to Breakeven | 213.9% | 13.9% |
| Time to Breakeven | 1808 days | 62 days |
In The Past
Ambarella's stock fell -51.4% during the 2025 US Tariff Shock. Such a loss loss requires a 105.8% 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 Ambarella (AMBA)
Ambarella, Inc. specializes in developing advanced semiconductor solutions for video processing, primarily through its System-on-a-Chip (SoC) designs. These integrated chips are engineered to deliver high-definition (HD) and ultra HD video compression, sophisticated image processing, and critical deep neural network processing, often incorporating artificial intelligence (AI) computer vision algorithms. The core focus of their technology is to integrate video, image, and audio processing capabilities onto a single chip, emphasizing high video quality, distinct functionality, and low power consumption.
The company's solutions are widely adopted across various key markets. In the automotive industry, Ambarella's chips are integral to cameras used in advanced driver assistance systems (ADAS), cabin and driver monitoring systems, automotive video recorders, electronic mirrors, and central domain controllers for autonomous vehicles. Beyond automotive, their technology powers both professional and home internet protocol (IP) security cameras, and is utilized in robotics and industrial applications such for identification/authentication cameras and sensing solutions.
Additionally, Ambarella's semiconductors are found in a range of consumer leisure products, including wearable body cameras, sports action cameras, social media cameras, drones for aerial photography, video conferencing systems, and virtual reality applications. The company sells its specialized chips to Original Design Manufacturers (ODMs) and Original Equipment Manufacturers (OEMs) globally, employing a direct sales force alongside a network of distributors to serve its diverse customer base.
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- Nvidia for AI camera brains: Ambarella makes the specialized AI chips that power smart cameras in cars, security systems, and robotics, enabling them to see and understand their environment.
- Qualcomm for intelligent video and AI processing: Instead of mobile phones, Ambarella focuses on providing advanced video and AI chips specifically for automotive vision and security cameras.
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- System-on-a-Chip (SoC) Designs: Integrated semiconductor solutions that combine HD video, image, AI computer vision, and audio processing onto a single chip for various applications.
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- Automotive Industry: Manufacturers developing products such as automotive video recorders, electronic mirrors, front advanced driver assistance system (ADAS) cameras, cabin monitoring system and driver monitoring system cameras, and central domain controllers for autonomous vehicles.
- Security Camera Industry: Companies that produce professional and home internet protocol (IP) security cameras.
- Robotics and Industrial Applications: Manufacturers of identification/authentication cameras, various robotic products, and sensing cameras for industrial use.
- Consumer Leisure and Other Markets: Manufacturers of wearable body cameras, sports action cameras, social media cameras, drones for aerial photography/video, video conferencing equipment, and virtual reality applications.
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Taiwan Semiconductor Manufacturing Company (TSM)
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Fermi Wang is a seasoned leader, serial entrepreneur, and video compression technology expert who co-founded Ambarella in January 2004. Prior to Ambarella, he served as CEO and co-founder of Afara Websystems, a company that pioneered server throughput computing and was subsequently acquired by Sun Microsystems in July 2002. He also held significant engineering and business management positions at C-Cube Microsystems, where his team developed the world's first MPEG CODEC chip. Wang holds several digital video-related patents, including core MPEG-2 and MPEG-4/AVC patents.
John Young Chief Financial Officer
John Young was appointed as Ambarella's Chief Financial Officer in February 2024. He previously held the roles of Vice President of Finance at Ambarella since December 2019 and Corporate Controller from March 2017 to December 2019. Additionally, he served as the company's principal accounting and financial officer from November 2021 to April 2022. Before joining Ambarella, Young held various financial and operational management positions at Mellanox Technologies from 2009 to 2016, most recently as corporate controller. He began his career as a CPA at Ernst & Young.
Les Kohn Chief Technology Advisor
Les Kohn is a co-founder of Ambarella and transitioned to the role of Chief Technology Advisor in November 2025, having previously served as Chief Technology Officer. He is recognized for his expertise as a chip architect and entrepreneur in Silicon Valley. Kohn was CTO and co-founder of Afara Websystems, which was acquired by Sun Microsystems. Following the acquisition, he became a fellow at Sun, continuing to develop Afara's throughput computing technology. His career also includes serving as chief architect at C-Cube Microsystems, where he led the development of multiple generations of digital video CODECs, including the first single-chip MPEG-2 and HD/multi-stream CODECs. Before C-Cube, he was a distinguished engineer at Sun, where he was the chief architect of UltraSPARC I and II, and co-architected the Intel i860 and National 32000 microprocessor family.
Chan Lee Chief Operating Officer
Chan Lee is the Chief Operating Officer at Ambarella. Prior to his role at Ambarella, Lee was the director of VLSI at Afara Websystems, where he was responsible for managing the design and verification team and driving key design and verification methodologies. He spent a significant portion of his career at Intel, holding various positions including manager of the silicon debug team, design manager of the first-generation Pentium 4, and manager and technical lead on the P6 (Pentium Pro).
John Ju Senior VP, Systems & GM, Asia Design Centers
John Ju serves as the Senior Vice President of Systems and General Manager of Asia Design Centers at Ambarella.
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Here are the key risks to Ambarella's business:
- Intense Competitive Pressures: Ambarella operates in a highly competitive semiconductor market, particularly in AI vision processors for edge applications. The company faces significant competition from established semiconductor giants and specialized AI chip developers, such as NVIDIA, Qualcomm, and Mobileye, many of whom have broader product portfolios or dominant positions in specific market segments. The rapid evolution of AI and computer vision technology further intensifies this competitive landscape.
- High Dependence on Major Customers: A significant portion of Ambarella's revenue is derived from a limited number of major customers. For example, one key customer, WT Microelectronics, accounted for 63% of total revenue. This high level of customer concentration poses a substantial risk, as the loss of or reduced demand from such a customer could materially and adversely impact Ambarella's financial performance.
- Challenges in Achieving and Maintaining Profitability Amid High R&D Costs and Rapid Technological Shifts: Despite showing strong revenue growth, Ambarella faces challenges with rising operating costs and ongoing net losses. The company's gross margins have slightly decreased due to factors such as manufacturing costs and changes in product mix. Maintaining profitability and improving margins are crucial, which are dependent on the successful execution of transitions to advanced chip manufacturing processes (e.g., 5nm/4nm), which are more expensive in early stages and may have lower manufacturing yields. Ambarella also incurs significant research and development costs to stay at the forefront of rapidly evolving AI and computer vision technologies.
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The increasing trend of large original equipment manufacturers (OEMs) and platform owners in Ambarella's key markets (such as automotive, virtual reality/augmented reality, and security cameras) opting for vertical integration by designing their own specialized system-on-a-chip (SoC) solutions for video processing, image processing, and AI computer vision algorithms. This strategic shift by customers to become their own silicon suppliers directly reduces the addressable market for Ambarella's offerings.
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Share Repurchases
- Ambarella's Board of Directors approved an extension of its share repurchase program through June 30, 2026, with approximately $48.0 million remaining available for future repurchases.
- The company repurchased approximately $1.0 million in shares during the first quarter of fiscal year 2026.
- Ambarella repurchased $176 million of common stock in both fiscal year 2022 and fiscal year 2021.
Share Issuance
- Total outstanding shares increased from 34.81 million at the end of fiscal year 2020 to 42.86 million at the end of fiscal year 2025, indicating ongoing share issuance, likely through employee stock purchase plans.
Inbound Investments
- Ambarella explored strategic options, including a potential sale, and engaged with potential buyers such as rivals and private equity firms in June 2025.
Outbound Investments
- Ambarella acquired Oculii in fiscal year 2022, which brought adaptive AI software algorithms for radar perception.
- The company formed strategic partnerships and collaborations, including with LG Electronics (announced December 2024) for AI-driven in-cabin vehicle safety solutions, and e-con Systems (November 2022) for edge AI vision design services.
Capital Expenditures
- Capital expenditures for tangible and intangible assets were $4.6 million in the first quarter of fiscal year 2026 and $2.9 million in the third quarter of fiscal year 2026.
- Capital expenditures are expected to increase in the future to support business expansion and enhancements to IT platforms.
- The primary focus of capital expenditures is on supporting AI inference processor and radar solutions, chip development, and new product development activities.
Latest Trefis Analyses
| Title | Date | |
|---|---|---|
| DASHBOARDS | ||
| Ambarella Stock Dips 21% In One Day, Now Is Not The Time To Buy The Stock | 05/30/2026 | |
| Is 20.6% Fall In Ambarella (AMBA) Stock A Buying Opportunity? | 03/05/2026 | |
| Ambarella Stock (-13%): Insider Selling Overwhelms CES News | 01/08/2026 | |
| Ambarella Earnings Notes | 12/27/2025 | |
| Is 23.1% Fall In Ambarella (AMBA) Stock A Buying Opportunity? | 12/18/2025 | |
| Is Ambarella Stock Built to Withstand More Downside? | 11/27/2025 | |
| Ambarella Stock vs Competition: Who Wins? | 08/13/2025 | |
| AMBA Dip Buy Analysis | 07/10/2025 | |
| ARTICLES | ||
| Ambarella Stock To $40? | 03/05/2026 | |
| Ambarella Stock To $49? | 12/18/2025 | |
| With Ambarella Stock Sliding, Have You Assessed The Risk? | 11/27/2025 | |
| Small Cap Stocks Trading At 52-Week High | 11/11/2025 | |
| Market Movers | Winners: WOOF, NEO, AMBA | Losers: MRVL, UP, AEVA | 08/29/2025 |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 192.44 |
| Mkt Cap | 134.0 |
| Rev LTM | 15,526 |
| Op Inc LTM | 4,928 |
| FCF LTM | 3,138 |
| FCF 3Y Avg | 2,191 |
| CFO LTM | 5,436 |
| CFO 3Y Avg | 4,921 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 11.8% |
| Rev Chg 3Y Avg | 2.4% |
| Rev Chg Q | 17.7% |
| QoQ Delta Rev Chg LTM | 4.0% |
| Op Inc Chg LTM | 9.2% |
| Op Inc Chg 3Y Avg | -2.8% |
| Op Mgn LTM | 25.5% |
| Op Mgn 3Y Avg | 26.4% |
| QoQ Delta Op Mgn LTM | 1.6% |
| CFO/Rev LTM | 30.2% |
| CFO/Rev 3Y Avg | 28.6% |
| FCF/Rev LTM | 21.9% |
| FCF/Rev 3Y Avg | 18.1% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 134.0 |
| P/S | 7.4 |
| P/Op Inc | 19.7 |
| P/EBIT | 17.0 |
| P/E | 23.3 |
| P/CFO | 29.0 |
| Total Yield | 3.6% |
| Dividend Yield | 0.7% |
| FCF Yield 3Y Avg | 3.3% |
| D/E | 0.0 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -5.8% |
| 3M Rtn | 43.6% |
| 6M Rtn | 15.2% |
| 12M Rtn | 28.3% |
| 3Y Rtn | 55.3% |
| 1M Excs Rtn | -4.7% |
| 3M Excs Rtn | 30.8% |
| 6M Excs Rtn | 5.3% |
| 12M Excs Rtn | 6.0% |
| 3Y Excs Rtn | -7.0% |
Comparison Analyses
Price Behavior
| Market Price | $85.80 | |
| Market Cap ($ Bil) | 3.7 | |
| First Trading Date | 10/10/2012 | |
| Distance from 52W High | -10.2% | |
| 50 Days | 200 Days | |
| DMA Price | $72.41 | $71.60 |
| DMA Trend | indeterminate | up |
| Distance from DMA | 18.5% | 19.8% |
| 3M | 1YR | |
| Volatility | 95.6% | 71.0% |
| Downside Capture | 400.54 | 297.11 |
| Upside Capture | 391.20 | 260.78 |
| Correlation (SPY) | 58.9% | 52.1% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 4.89 | 4.32 | 3.37 | 2.90 | 2.83 | 2.29 |
| Up Beta | 1.44 | 3.34 | 2.32 | 2.69 | 2.98 | 2.05 |
| Down Beta | 3.23 | 2.78 | 3.42 | 2.39 | 2.81 | 2.19 |
| Up Capture | 1058% | 739% | 589% | 527% | 580% | 3017% |
| Bmk +ve Days | 11 | 24 | 40 | 67 | 140 | 429 |
| Stock +ve Days | 11 | 23 | 38 | 66 | 126 | 380 |
| Down Capture | 415% | 393% | 330% | 222% | 179% | 113% |
| Bmk -ve Days | 10 | 17 | 23 | 58 | 112 | 321 |
| Stock -ve Days | 10 | 18 | 25 | 58 | 124 | 368 |
[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 AMBA | |
|---|---|---|---|---|
| AMBA | 29.3% | 71.1% | 0.66 | - |
| Sector ETF (XLK) | 52.8% | 23.7% | 1.72 | 54.0% |
| Equity (SPY) | 22.6% | 12.5% | 1.34 | 50.2% |
| Gold (GLD) | 22.4% | 27.7% | 0.71 | 14.4% |
| Commodities (DBC) | 22.4% | 18.6% | 0.95 | 2.4% |
| Real Estate (VNQ) | 13.2% | 13.7% | 0.66 | 7.0% |
| Bitcoin (BTCUSD) | -44.4% | 42.5% | -1.26 | 23.0% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AMBA | |
|---|---|---|---|---|
| AMBA | -3.0% | 64.7% | 0.22 | - |
| Sector ETF (XLK) | 22.3% | 25.4% | 0.78 | 62.3% |
| Equity (SPY) | 13.5% | 17.1% | 0.61 | 59.2% |
| Gold (GLD) | 17.3% | 18.3% | 0.76 | 8.7% |
| Commodities (DBC) | 7.2% | 19.5% | 0.27 | 10.2% |
| Real Estate (VNQ) | 2.6% | 18.8% | 0.04 | 36.1% |
| Bitcoin (BTCUSD) | 12.9% | 53.8% | 0.43 | 28.3% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with AMBA | |
|---|---|---|---|---|
| AMBA | 5.0% | 57.6% | 0.33 | - |
| Sector ETF (XLK) | 25.6% | 24.7% | 0.93 | 58.0% |
| Equity (SPY) | 15.5% | 18.0% | 0.73 | 54.2% |
| Gold (GLD) | 11.6% | 16.1% | 0.59 | 6.0% |
| Commodities (DBC) | 5.6% | 18.0% | 0.24 | 15.9% |
| Real Estate (VNQ) | 5.4% | 20.7% | 0.22 | 33.1% |
| Bitcoin (BTCUSD) | 55.2% | 66.4% | 0.95 | 19.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Updated 7/1/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 5/28/2026 | -21.4% | -21.5% | -27.0% |
| 2/26/2026 | -14.9% | -21.8% | -28.8% |
| 11/25/2025 | -18.8% | -21.9% | -23.3% |
| 8/28/2025 | 16.8% | 17.3% | 17.3% |
| 5/29/2025 | -15.1% | -16.6% | 6.6% |
| 2/26/2025 | -17.1% | -25.9% | -30.5% |
| 11/26/2024 | 5.9% | 3.9% | 7.5% |
| 8/27/2024 | 10.6% | 4.3% | 8.1% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 9 | 8 | 12 |
| # Negative | 15 | 16 | 12 |
| Median Positive | 14.1% | 17.9% | 7.8% |
| Median Negative | -14.9% | -15.7% | -23.2% |
| Max Positive | 27.4% | 32.9% | 50.4% |
| Max Negative | -31.3% | -39.4% | -31.9% |
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 5/28/2026 | -21.4% | -21.5% | -27.0% |
| 2/26/2026 | -14.9% | -21.8% | -28.8% |
| 11/25/2025 | -18.8% | -21.9% | -23.3% |
| 8/28/2025 | 16.8% | 17.3% | 17.3% |
| 5/29/2025 | -15.1% | -16.6% | 6.6% |
| 2/26/2025 | -17.1% | -25.9% | -30.5% |
| 11/26/2024 | 5.9% | 3.9% | 7.5% |
| 8/27/2024 | 10.6% | 4.3% | 8.1% |
| 5/30/2024 | 20.6% | 19.2% | 11.0% |
| 2/27/2024 | 0.1% | -4.5% | -11.5% |
| 11/30/2023 | -0.3% | -2.6% | 2.4% |
| 8/29/2023 | -20.4% | -17.8% | -31.3% |
| 5/30/2023 | -11.8% | -3.3% | 0.9% |
| 2/28/2023 | -11.5% | -14.8% | -19.6% |
| 12/1/2022 | 3.3% | 7.3% | 7.5% |
| 8/30/2022 | -19.7% | -24.2% | -31.9% |
| 5/31/2022 | -2.1% | -0.6% | -23.2% |
| 2/28/2022 | -31.3% | -39.4% | -22.5% |
| 11/30/2021 | 14.1% | 20.7% | 12.1% |
| 8/31/2021 | 27.4% | 32.9% | 50.4% |
| 6/1/2021 | -1.5% | -3.1% | 5.4% |
| 3/2/2021 | -0.3% | -3.8% | -11.7% |
| 11/23/2020 | 15.3% | 18.6% | 40.7% |
| 9/2/2020 | -10.4% | -13.2% | -7.1% |
| SUMMARY STATS | |||
| # Positive | 9 | 8 | 12 |
| # Negative | 15 | 16 | 12 |
| Median Positive | 14.1% | 17.9% | 7.8% |
| Median Negative | -14.9% | -15.7% | -23.2% |
| Max Positive | 27.4% | 32.9% | 50.4% |
| Max Negative | -31.3% | -39.4% | -31.9% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 04/30/2026 | 06/02/2026 | 10-Q |
| 01/31/2026 | 03/23/2026 | 10-K |
| 10/31/2025 | 12/04/2025 | 10-Q |
| 07/31/2025 | 09/03/2025 | 10-Q |
| 04/30/2025 | 06/03/2025 | 10-Q |
| 01/31/2025 | 03/28/2025 | 10-K |
| 10/31/2024 | 12/06/2024 | 10-Q |
| 07/31/2024 | 09/04/2024 | 10-Q |
| 04/30/2024 | 06/06/2024 | 10-Q |
| 01/31/2024 | 03/29/2024 | 10-K |
| 10/31/2023 | 12/08/2023 | 10-Q |
| 07/31/2023 | 09/08/2023 | 10-Q |
| 04/30/2023 | 06/06/2023 | 10-Q |
| 01/31/2023 | 03/31/2023 | 10-K |
| 10/31/2022 | 12/09/2022 | 10-Q |
| 07/31/2022 | 09/08/2022 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 04/30/2026 | 06/02/2026 | 10-Q |
| 01/31/2026 | 03/23/2026 | 10-K |
| 10/31/2025 | 12/04/2025 | 10-Q |
| 07/31/2025 | 09/03/2025 | 10-Q |
| 04/30/2025 | 06/03/2025 | 10-Q |
| 01/31/2025 | 03/28/2025 | 10-K |
| 10/31/2024 | 12/06/2024 | 10-Q |
| 07/31/2024 | 09/04/2024 | 10-Q |
| 04/30/2024 | 06/06/2024 | 10-Q |
| 01/31/2024 | 03/29/2024 | 10-K |
| 10/31/2023 | 12/08/2023 | 10-Q |
| 07/31/2023 | 09/08/2023 | 10-Q |
| 04/30/2023 | 06/06/2023 | 10-Q |
| 01/31/2023 | 03/31/2023 | 10-K |
| 10/31/2022 | 12/09/2022 | 10-Q |
| 07/31/2022 | 09/08/2022 | 10-Q |
| 04/30/2022 | 06/08/2022 | 10-Q |
| 01/31/2022 | 04/01/2022 | 10-K |
| 10/31/2021 | 12/10/2021 | 10-Q |
| 07/31/2021 | 09/08/2021 | 10-Q |
| 04/30/2021 | 06/08/2021 | 10-Q |
| 01/31/2021 | 03/31/2021 | 10-K |
| 10/31/2020 | 12/09/2020 | 10-Q |
| 07/31/2020 | 09/09/2020 | 10-Q |
| 04/30/2020 | 06/08/2020 | 10-Q |
| 01/31/2020 | 03/27/2020 | 10-K |
| 10/31/2019 | 12/06/2019 | 10-Q |
| 07/31/2019 | 09/06/2019 | 10-Q |
Recent Forward Guidance
Updated 5/31/2026Latest: Q1 2027 Earnings Reported 5/28/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q2 2027 Revenue | 105.00 Mil | 108.00 Mil | 111.00 Mil | 8.0% | Raised | Guidance: 100.00 Mil for Q1 2027 | |
| Q2 2027 Non-GAAP Gross Margin | 59.0% | 59.75% | 60.5% | 0 | 0 | Affirmed | Guidance: 59.75% for Q1 2027 |
| Q2 2027 Non-GAAP Operating Expenses | 56.00 Mil | 57.50 Mil | 59.00 Mil | 1.8% | Raised | Guidance: 56.50 Mil for Q1 2027 | |
| 2027 Revenue Growth | 10.0% | 12.5% | 15.0% | 0 | 0 | Affirmed | Guidance: 12.5% for 2027 |
Prior: Q4 2026 Earnings Reported 2/26/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| Q1 2027 Revenue | 97.00 Mil | 100.00 Mil | 103.00 Mil | ||||
| Q1 2027 Non-GAAP Gross Margin | 59.0% | 59.75% | 60.5% | ||||
| Q1 2027 Non-GAAP Operating Expenses | 55.00 Mil | 56.50 Mil | 58.00 Mil | ||||
| 2027 Revenue Growth | 10.0% | 12.5% | 15.0% | ||||
Insider Activity
Updated 6/30/2026| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Paisley, Christopher B | Direct | Sell | 6302026 | 62.01 | 250 | 15,502 | 2,544,208 | Form | |
| 2 | Young, John Alexander | CFO | Direct | Sell | 6182026 | 67.54 | 5,033 | 339,946 | 7,604,710 | Form |
| 3 | Lee, Chan W | Chief Operations Officer | Direct | Sell | 6182026 | 67.87 | 2,951 | 200,284 | 10,662,241 | Form |
| 4 | Ju, Chi-Hong | Senior VP, Systems & GM | Direct | Sell | 6182026 | 67.87 | 2,017 | 136,894 | 11,261,262 | Form |
| 5 | Wang, Feng-Ming | CEO | Direct | Sell | 6182026 | 67.87 | 6,204 | 421,065 | 54,286,295 | Form |
| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Paisley, Christopher B | Direct | Sell | 6302026 | 62.01 | 250 | 15,502 | 2,544,208 | Form | |
| 2 | Young, John Alexander | CFO | Direct | Sell | 6182026 | 67.54 | 5,033 | 339,946 | 7,604,710 | Form |
| 3 | Lee, Chan W | Chief Operations Officer | Direct | Sell | 6182026 | 67.87 | 2,951 | 200,284 | 10,662,241 | Form |
| 4 | Ju, Chi-Hong | Senior VP, Systems & GM | Direct | Sell | 6182026 | 67.87 | 2,017 | 136,894 | 11,261,262 | Form |
| 5 | Wang, Feng-Ming | CEO | Direct | Sell | 6182026 | 67.87 | 6,204 | 421,065 | 54,286,295 | Form |
| 6 | Chen, Yun-Lung | VP, Business Development and | Direct | Sell | 6162026 | 67.06 | 9,856 | 660,943 | 4,460,496 | Form |
| 7 | Young, John Alexander | CFO | Direct | Sell | 5282026 | 96.00 | 400 | 38,400 | 11,291,808 | Form |
| 8 | Wang, Feng-Ming | CEO | Direct | Sell | 5282026 | 91.01 | 32,500 | 2,957,755 | 73,357,867 | Form |
| 9 | Young, John Alexander | CFO | Direct | Sell | 4222026 | 60.00 | 1,971 | 118,260 | 7,057,380 | Form |
| 10 | Young, John Alexander | CFO | Direct | Sell | 3192026 | 54.14 | 3,038 | 164,477 | 6,474,819 | Form |
| 11 | Lee, Chan W | Chief Operations Officer | Direct | Sell | 3192026 | 54.14 | 3,641 | 197,124 | 8,665,053 | Form |
| 12 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 3192026 | 54.14 | 2,155 | 116,672 | 9,092,326 | Form |
| 13 | Wang, Feng-Ming | CEO | Direct | Sell | 3192026 | 54.14 | 8,083 | 437,614 | 45,399,693 | Form |
| 14 | Young, John Alexander | CFO | Direct | Sell | 3192026 | 52.77 | 4,577 | 241,528 | 6,177,889 | Form |
| 15 | Lee, Chan W | Chief Operations Officer | Direct | Sell | 3192026 | 52.77 | 6,729 | 355,089 | 8,251,645 | Form |
| 16 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 3192026 | 52.77 | 4,729 | 249,549 | 8,663,040 | Form |
| 17 | Wang, Feng-Ming | CEO | Direct | Sell | 3192026 | 52.77 | 18,976 | 1,001,364 | 43,849,654 | Form |
| 18 | Wang, Feng-Ming | CEO | Direct | Sell | 3042026 | 60.80 | 50,000 | 3,040,031 | 46,754,405 | Form |
| 19 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 12312025 | 70.32 | 3,765 | 264,755 | 10,812,895 | Form |
| 20 | Paisley, Christopher B | Direct | Sell | 12292025 | 72.18 | 500 | 36,090 | 2,979,518 | Form | |
| 21 | Young, John Alexander | CFO | Direct | Sell | 12192025 | 72.96 | 3,791 | 276,591 | 7,495,764 | Form |
| 22 | Young, John Alexander | CFO | Direct | Sell | 12192025 | 71.82 | 2,579 | 185,224 | 7,650,913 | Form |
| 23 | Lee, Chan W | Chief Operations Officer | Direct | Sell | 12192025 | 71.82 | 2,406 | 172,799 | 8,946,330 | Form |
| 24 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 12192025 | 71.82 | 1,342 | 96,382 | 11,313,948 | Form |
| 25 | Wang, Feng-Ming | CEO | Direct | Sell | 12192025 | 71.82 | 4,950 | 355,509 | 56,305,372 | Form |
| 26 | Schwarting, Elizabeth M | Direct | Sell | 12182025 | 72.38 | 624 | 45,163 | 484,203 | Form | |
| 27 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 10152025 | 80.96 | 6,156 | 498,390 | 12,862,439 | Form |
| 28 | Ju, Chi-Hong | Senior VP, Systems & GM, Asia | Direct | Sell | 10152025 | 81.29 | 5,057 | 411,093 | 13,415,602 | Form |
| 29 | Schwarting, Elizabeth M | Direct | Sell | 10082025 | 85.38 | 2,664 | 227,445 | 624,449 | Form | |
| 30 | Young, John Alexander | CFO | Direct | Sell | 9192025 | 79.43 | 2,566 | 203,817 | 8,666,448 | Form |
| 31 | Lee, Chan W | Chief Operating Officer | Direct | Sell | 9192025 | 79.43 | 1,947 | 154,650 | 10,085,386 | Form |
| 32 | Kohn, Leslie | Chief Technology Officer | Direct | Sell | 9192025 | 79.43 | 2,249 | 178,638 | 77,637,106 | Form |
| 33 | Ju, Chi-Hong | Sr. Vice President, Systems | Direct | Sell | 9192025 | 79.43 | 1,168 | 92,774 | 13,510,010 | Form |
| 34 | Wang, Feng-Ming | CEO | Direct | Sell | 9192025 | 79.43 | 4,928 | 391,431 | 62,664,630 | Form |
| 35 | Chen, Yun-Lung | VP, Business Development | Direct | Sell | 9112025 | 84.42 | 8,492 | 716,895 | 5,204,577 | Form |
Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Semiconductor Materials & Equipment Resources |
| SEMI |
| Semiconductor Digest |
| Semiconductor Today |
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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