SoundHound AI (SOUN)
Market Price (8/18/2026): $6.99 | Market Cap: $3.0 BilSector: Information Technology | Industry: Application Software
SoundHound AI (SOUN)
Market Price (8/18/2026): $6.99Market Cap: $3.0 BilSector: Information TechnologyIndustry: Application Software
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 55% Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include AI Software Platforms, and Edge AI. | Weak multi-year price returns2Y Excs Rtn is -8.5% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -201 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -99% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 39% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -56%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -62% 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 -9.0% Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 38% Key risksSOUN key risks include [1] a history of significant financial losses with an uncertain path to profitability, Show more. |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 55% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include AI Software Platforms, and Edge AI. |
| Weak multi-year price returns2Y Excs Rtn is -8.5% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -201 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -99% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 39% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -56%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -62% |
| 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 -9.0% |
| Significant short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 38% |
| Key risksSOUN key risks include [1] a history of significant financial losses with an uncertain path to profitability, Show more. |
Qualitative Assessment
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SoundHound AI (SOUN) stock has lost about 10% since 4/30/2026 because of the following key factors:
1. Persistent Cash Burn and Unprofitability Despite Revenue Growth. SoundHound AI continued to report substantial GAAP net losses, reaching ($42.8) million in fiscal Q2 2026, which ended June 30, 2026. Furthermore, the company's operating cash flow burn worsened significantly, increasing by 37% year-over-year to negative $60.0 million in the first half of fiscal 2026. This ongoing cash consumption raises investor concerns about the company's long-term profitability and the potential need for future equity raises, despite strong revenue growth of 45% in fiscal Q2 2026.
2. Risks Associated with LivePerson Acquisition. The pending acquisition of LivePerson, while intended to expand SoundHound AI's market presence and potentially double its 2027 revenue outlook, introduces significant execution and integration risks. LivePerson has been characterized as a "distressed, declining $200M business," suggesting potential challenges in its integration and the absorption of its existing customer base onto SoundHound's OASYS platform. This presents a notable operational hurdle and potential for increased integration costs in the second half of fiscal 2026.
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SoundHound AI (SOUN) stock has lost about 10% since 4/30/2026 because of the following key factors:
1. Persistent Cash Burn and Unprofitability Despite Revenue Growth. SoundHound AI continued to report substantial GAAP net losses, reaching ($42.8) million in fiscal Q2 2026, which ended June 30, 2026. Furthermore, the company's operating cash flow burn worsened significantly, increasing by 37% year-over-year to negative $60.0 million in the first half of fiscal 2026. This ongoing cash consumption raises investor concerns about the company's long-term profitability and the potential need for future equity raises, despite strong revenue growth of 45% in fiscal Q2 2026.
2. Risks Associated with LivePerson Acquisition. The pending acquisition of LivePerson, while intended to expand SoundHound AI's market presence and potentially double its 2027 revenue outlook, introduces significant execution and integration risks. LivePerson has been characterized as a "distressed, declining $200M business," suggesting potential challenges in its integration and the absorption of its existing customer base onto SoundHound's OASYS platform. This presents a notable operational hurdle and potential for increased integration costs in the second half of fiscal 2026.
3. Analyst Price Target Reductions and Valuation Concerns. Following the fiscal Q2 2026 earnings report on August 5, 2026, which otherwise exceeded revenue and non-GAAP EPS estimates, some analysts adjusted their outlooks downward. For example, Piper Sandler lowered its price target from $8.00 to $7.00, and DA Davidson reduced its target from $12.00 to $10.00 in early August 2026. These reductions, despite the positive earnings beat, indicate lingering concerns among some financial institutions regarding the company's valuation or its long-term prospects, contributing to a more cautious investor sentiment.
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Stock Movement Drivers
Fundamental Drivers
The -11.6% change in SOUN stock from 4/30/2026 to 8/17/2026 was primarily driven by a -24.2% change in the company's P/S Multiple.| (LTM values as of) | 4302026 | 8172026 | Change |
|---|---|---|---|
| Stock Price ($) | 7.96 | 7.04 | -11.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 169 | 203 | 20.3% |
| P/S Multiple | 19.7 | 14.9 | -24.2% |
| Shares Outstanding (Mil) | 418 | 431 | -3.0% |
| Cumulative Contribution | -11.6% |
Market Drivers
4/30/2026 to 8/17/2026| Return | Correlation | |
|---|---|---|
| SOUN | -11.6% | |
| Market (SPY) | 7.5% | 45.7% |
| Sector (XLK) | 19.3% | 48.3% |
Fundamental Drivers
The -16.8% change in SOUN stock from 1/31/2026 to 8/17/2026 was primarily driven by a -36.1% change in the company's P/S Multiple.| (LTM values as of) | 1312026 | 8172026 | Change |
|---|---|---|---|
| Stock Price ($) | 8.46 | 7.04 | -16.8% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 148 | 203 | 36.9% |
| P/S Multiple | 23.4 | 14.9 | -36.1% |
| Shares Outstanding (Mil) | 410 | 431 | -4.8% |
| Cumulative Contribution | -16.8% |
Market Drivers
1/31/2026 to 8/17/2026| Return | Correlation | |
|---|---|---|
| SOUN | -16.8% | |
| Market (SPY) | 12.0% | 56.9% |
| Sector (XLK) | 32.4% | 54.6% |
Fundamental Drivers
The -31.8% change in SOUN stock from 7/31/2025 to 8/17/2026 was primarily driven by a -62.5% change in the company's P/S Multiple.| (LTM values as of) | 7312025 | 8172026 | Change |
|---|---|---|---|
| Stock Price ($) | 10.33 | 7.04 | -31.8% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 102 | 203 | 98.8% |
| P/S Multiple | 39.8 | 14.9 | -62.5% |
| Shares Outstanding (Mil) | 394 | 431 | -8.5% |
| Cumulative Contribution | -31.8% |
Market Drivers
7/31/2025 to 8/17/2026| Return | Correlation | |
|---|---|---|
| SOUN | -31.8% | |
| Market (SPY) | 23.3% | 49.2% |
| Sector (XLK) | 45.5% | 47.5% |
Fundamental Drivers
The 202.1% change in SOUN stock from 7/31/2023 to 8/17/2026 was primarily driven by a 834.3% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 7312023 | 8172026 | Change |
|---|---|---|---|
| Stock Price ($) | 2.33 | 7.04 | 202.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 22 | 203 | 834.3% |
| P/S Multiple | 7.5 | 14.9 | 100.0% |
| Shares Outstanding (Mil) | 70 | 431 | -83.8% |
| Cumulative Contribution | 202.1% |
Market Drivers
7/31/2023 to 8/17/2026| Return | Correlation | |
|---|---|---|
| SOUN | 202.1% | |
| Market (SPY) | 74.7% | 41.7% |
| Sector (XLK) | 117.4% | 39.5% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| SOUN Return | - | -76% | 20% | 836% | -50% | -25% | -1% |
| Peers Return | -32% | -72% | 2% | -25% | -17% | 43% | -83% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 14% | 107% |
Monthly Win Rates [3] | |||||||
| SOUN Win Rate | - | 44% | 50% | 50% | 50% | 50% | |
| Peers Win Rate | 45% | 23% | 52% | 45% | 42% | 52% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| SOUN Max Drawdown | - | - | -67% | -60% | -65% | -51% | |
| Peers Max Drawdown | -49% | -79% | -54% | -60% | -62% | -40% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: CRNC, LPSN, TWLO, FIVN, RNG.
[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 8/17/2026 (YTD)
How Low Can It Go
| Event | SOUN | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -35.1% | -18.8% |
| % Gain to Breakeven | 54.2% | 23.1% |
| Time to Breakeven | 35 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -16.8% | -7.8% |
| % Gain to Breakeven | 20.1% | 8.5% |
| Time to Breakeven | 3 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -33.9% | -9.5% |
| % Gain to Breakeven | 51.3% | 10.5% |
| Time to Breakeven | 103 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -51.5% | -6.7% |
| % Gain to Breakeven | 106.3% | 7.1% |
| Time to Breakeven | 87 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -66.0% | -24.5% |
| % Gain to Breakeven | 194.1% | 32.4% |
| Time to Breakeven | 502 days | 427 days |
In The Past
SoundHound AI's stock fell -35.1% during the 2025 US Tariff Shock. Such a loss loss requires a 54.2% gain to breakeven.
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Asset Allocation
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| Event | SOUN | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -35.1% | -18.8% |
| % Gain to Breakeven | 54.2% | 23.1% |
| Time to Breakeven | 35 days | 79 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -33.9% | -9.5% |
| % Gain to Breakeven | 51.3% | 10.5% |
| Time to Breakeven | 103 days | 24 days |
| 2023 SVB Regional Banking Crisis | ||
| % Loss | -51.5% | -6.7% |
| % Gain to Breakeven | 106.3% | 7.1% |
| Time to Breakeven | 87 days | 31 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -66.0% | -24.5% |
| % Gain to Breakeven | 194.1% | 32.4% |
| Time to Breakeven | 502 days | 427 days |
In The Past
SoundHound AI's stock fell -35.1% during the 2025 US Tariff Shock. Such a loss loss requires a 54.2% 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 SoundHound AI (SOUN)
SoundHound AI (SOUN) is a technology company specializing in the development of an independent voice artificial intelligence (AI) platform. The company's core business revolves around providing sophisticated AI solutions that enable businesses across various sectors to deliver high-quality, natural conversational experiences to their end customers. Essentially, SoundHound AI supplies the foundational technology that allows products and services to understand, process, and respond to human speech effectively.
The cornerstone of SoundHound AI's offering is its Houndify platform. This comprehensive suite of tools empowers brands to custom-build and integrate voice assistants tailored to their specific needs. Key capabilities of the Houndify platform include automatic speech recognition (ASR) to convert spoken words into text, natural language understanding (NLU) to interpret the meaning and intent behind speech, customizable wake words, and text-to-speech (TTS) for generating spoken responses. It also offers custom domain functionalities and embedded voice solutions, allowing for deep integration into various devices and applications.
SoundHound AI primarily targets businesses across a diverse range of industries as its main customers. These enterprises, ranging from automotive manufacturers to consumer electronics companies and service providers, utilize the Houndify platform to embed advanced voice AI capabilities into their products and services. The company operates on a business-to-business (B2B) model, serving organizations looking to enhance customer engagement and operational efficiency through proprietary voice-enabled interactions.
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Here are 1-3 brief analogies for SoundHound AI (SOUN):
- The 'Intel Inside' for voice AI: Just as Intel provides the core chips that power many computers, SoundHound provides the core voice AI technology that businesses integrate into their products and services.
- Twilio for voice AI: Similar to how Twilio provides APIs and tools for businesses to embed communication features (like SMS or voice calls) into their applications, SoundHound offers a platform and tools for businesses to embed conversational voice AI.
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- Houndify platform: A comprehensive voice AI platform that provides tools for automatic speech recognition, natural language understanding, wake words, and text-to-speech, enabling businesses to build conversational voice assistants.
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SoundHound AI (SOUN) primarily sells its independent voice artificial intelligence (AI) platform and tools to other companies (B2B) to help them integrate conversational voice assistants into their products and services. Its major customers include:
- Mercedes-Benz Group AG (MBG.DE)
- Hyundai Motor Company (005380.KS)
- Stellantis N.V. (STLA)
- Honda Motor Co., Ltd. (HMC)
- Vizio Holding Corp. (VZIO)
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- Amazon.com, Inc. (AMZN)
- Alphabet Inc. (GOOGL)
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Keyvan Mohajer, Co-Founder & Chief Executive Officer
Keyvan Mohajer co-founded SoundHound, initially named Melodis, in 2005 alongside Majid Emami and James Hom. He holds a PhD in Electrical Engineering from Stanford University. Under his leadership, the company evolved from a music recognition app, midomi, into a leading independent conversational AI platform. Mohajer has served as CEO since December 1, 2004, and continued in this role following the company's listing on Nasdaq via a SPAC merger in April 2022. His vision is to transform how people interact with machines through custom voice assistants, making interactions more convenient and productive. SoundHound is a Cota Capital-backed company that went public in 2022.
Nitesh Sharan, Chief Financial Officer
As Chief Financial Officer, Nitesh Sharan is responsible for SoundHound's strategic financial planning and accounting, and he helps accelerate the company's global growth and expansion. He brings extensive experience from previous executive roles at Nike, where he served as Treasurer, Head of Investor Relations, and CFO of Global Operations. Sharan also held financial leadership positions at Hewlett-Packard and Accenture. He earned his MBA from Northwestern University and his Bachelor's degree from Case Western Reserve University.
Majid Emami, Co-Founder & Chief Science Officer & Senior Vice President Engineering
Majid Emami is one of SoundHound's co-founders. He leads the company's technology research and development in speech recognition and machine learning. Emami is the holder of 16 patents related to voice AI technology. He earned his PhD in Electrical Engineering from Stanford University.
James Hom, Co-Founder & Chief Product Officer
James Hom is a co-founder of SoundHound, Inc. In his role as Chief Product Officer, he oversees all product development and advancement for the SoundHound AI platform, SoundHound Services, and various B2C products that reach hundreds of millions of users. He earned his Bachelor's Degree in Computer Science from Stanford University.
Michael Zagorsek, Chief Operating Officer
As Chief Operating Officer, Michael Zagorsek is responsible for leading SoundHound's company operations and marketing initiatives to enhance its presence in the voice AI market. Throughout his career, he has focused on technology growth and the marketing of innovative human-computer interaction methods. He earned his Master's in International Management, Marketing from the University of Bradford.
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- Profitability Challenges and Cash Burn: SoundHound AI has consistently reported substantial net losses and negative cash flows since its inception, indicating a challenge in achieving profitability. High operating costs often exceed revenue growth, and the company's gross margin is notably lower than many other software businesses, suggesting significant infrastructure expenses. This financial weakness could hinder sustained long-term growth and may necessitate further capital infusions, potentially leading to shareholder dilution.
- Intense Competition and Rapid Technological Advancements: The Voice AI market is highly competitive and rapidly evolving. SoundHound AI faces significant competition from well-resourced large technology companies such as Amazon, Google, and Apple, which also develop voice recognition software. The company's ability to maintain its competitive edge is crucial, especially with the relentless pace of technological change in the industry, including advancements in Generative AI and Large Language Models, which could lead to obsolescence if SoundHound AI cannot keep up.
- Customer Concentration Risk: SoundHound AI relies on a limited number of large customers for a substantial portion of its revenue, which presents a customer concentration risk. The potential loss of a major customer could materially and adversely impact the company's operating results, highlighting the need for a more diversified customer base.
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- The rapid advancements and increasing accessibility of Generative AI and Large Language Models (LLMs) pose a significant emerging threat. These powerful models, both proprietary (e.g., OpenAI's GPT series, Google's Gemini) and open-source, are fundamentally reshaping natural language understanding and generation capabilities. Businesses may increasingly opt to integrate these advanced LLMs directly, or through major cloud providers, to build conversational AI solutions, potentially reducing the reliance on specialized independent voice AI platforms like SoundHound's Houndify, and leading to the commoditization of core voice AI components.
- The continuous expansion and deeper integration of voice AI platforms by dominant technology companies (such as Google Assistant, Amazon Alexa, Microsoft Azure AI, and Apple's Siri) present another clear emerging threat. These tech giants leverage immense resources, extensive ecosystems, and existing customer bases to offer sophisticated, often bundled, and potentially lower-cost voice AI solutions. Their ongoing advancements and strategic positioning could make their integrated offerings more appealing to businesses across industries, thereby challenging SoundHound's independent platform model and market share.
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SoundHound AI, Inc. (SOUN) operates within the burgeoning conversational artificial intelligence (AI) and voice assistant markets, with its core offering being the Houndify platform that enables businesses to build conversational voice assistants.
SoundHound AI identifies its total addressable market (TAM) to be in excess of $140 billion globally, encompassing sectors such as automotive, restaurants, enterprise AI, smart devices, and voice commerce.
More specifically, the addressable markets for SoundHound AI's main products and services, primarily focused on conversational AI and voice assistants, are substantial:
- Global Conversational AI Market: This market was valued at approximately USD 11.58 billion in 2024 and is projected to reach about USD 41.39 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 23.7% from 2025 to 2030. Other estimates indicate a market size of USD 14.79 billion in 2025, growing to USD 82.46 billion by 2034 with a CAGR of 21.00%, or USD 15 billion in 2024, expected to reach USD 44.8 billion by 2030 at a 20% CAGR.
- Global Voice Assistant Market: This market, which encompasses SoundHound AI's voice AI offerings, was valued at USD 7.08 billion in 2024 and is projected to surpass USD 59.9 billion by 2033, with a CAGR of 26.80% from 2025–2033. Another projection indicates the global voice assistant application market size was USD 8.92 billion in 2025 and is expected to grow to USD 121.08 billion by 2034, with a CAGR of 33.61%. In 2023, the global voice assistant market was valued at USD 3.83 billion and is forecast to reach USD 54.83 billion by 2033, growing at a CAGR of 30.49%.
Regional Market Insights:
- North America is a dominant region within the conversational AI market, holding approximately 35.10% market share in 2025 and over 28.6% in 2024. The U.S. alone accounted for a significant portion of the global conversational AI market in 2024, valued at USD 3.7 billion.
- North America is also anticipated to hold the largest market share in the global voice assistant application market.
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Here are 3-5 expected drivers of future revenue growth for SoundHound AI (SOUN) over the next 2-3 years:
- Expansion of Agentic AI Platform into new industries and use cases: SoundHound AI is broadening the application of its Agentic AI platform to power conversational AI across various sectors, including call centers, vehicles, digital applications, retail, telecommunications, financial services, healthcare, and restaurants. This strategic expansion into diverse enterprise and consumer environments, alongside the capability to deploy a single AI agent across multiple interfaces, is anticipated to be a significant driver of revenue growth. The establishment of a new innovation hub in Bengaluru, India, also supports the global scaling of its agentic AI and facilitates international deployments.
- Growth in customer acquisition and strategic partnerships, particularly in the automotive and restaurant sectors: The company consistently secures new customer deals and deepens relationships with existing clients. Notable new automotive agreements have been signed with manufacturers in Japan, Korea, China, and Vietnam. In the restaurant industry, the acquisition of SYNQ3 has extended its customer base to 20 national and multinational chains, solidifying SoundHound AI's position in restaurant AI, complemented by partnerships with companies like Olo and Toast to reach more small and medium-sized enterprises. These expanding partnerships and new customer acquisitions are direct contributors to increased revenue.
- Introduction and adoption of new AI-powered products and features: SoundHound AI's commitment to innovation and the launch of new solutions are key to its revenue growth. The company has introduced products such as SoundHound Vehicle Intelligence for voice-activated car manuals and SoundHound Chat AI. More recently, the "Sales Assist" agent for the retail sector was unveiled, designed to enhance customer interactions and increase revenue per customer through real-time recommendations for store staff. This product initially targets telecom retailers, with expectations for broader adoption across brick-and-mortar settings. These new offerings are creating fresh revenue streams and expanding the company's market reach.
- Increased utilization and deeper penetration of voice AI solutions by existing customers: SoundHound AI has observed a rise in query volumes, particularly with automotive cloud queries experiencing significant year-over-year growth, indicating greater usage of its technology. Additionally, the company anticipates revenue growth as customer renewals increasingly incorporate advanced agentic solutions, which often entail price increases and larger volume commitments. This reflects revenue expansion driven not only by new customers but also by the expanded adoption and enhanced value extraction from existing client relationships.
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**Share Repurchases**
- SoundHound AI had no share buybacks in 2025 and 2026.
**Share Issuance**
- In 2024, SoundHound engaged in equity distribution agreements, raising $150 million and $120 million through the sale of Class A common stock.
- The company completed another sales agreement, raising an additional $137.3 million.
- Shares outstanding have increased by over 100% since SoundHound AI went public in 2022, indicating significant shareholder dilution.
**Outbound Investments**
- SoundHound AI completed the acquisition of Amelia, a conversational AI software company, to enhance its product portfolio and expand into new industries like healthcare and financial services.
- The company acquired SYNQ3, a provider of voice AI solutions for the restaurant industry, to strengthen its market position.
**Capital Expenditures**
- Capital expenditures were $0.64 million in 2021, $1.33 million in 2022, $0.39 million in 2023, and $0.64 million in 2024.
- Capital expenditures are projected to increase to $4.90 million in 2025.
Peer Outperformance in Application Software
null| Industry | Names | 1Y med | 3Y med | 5Y med | Top 3 by 5Y |
|---|---|---|---|---|---|
| Electronic Manufacturing Services | 9 | 83.5% | 263.3% | 476.9% | FLEX 898% · TTMI 896% · JBL 531% |
| Semiconductor Materials & Equipment | 27 | 200.6% | 113.2% | 158.7% | AEHR 2567% · AXTI 997% · KLAC 580% |
| Technology Distributors | 9 | 21.4% | 71.1% | 80.1% | CLMB 334% · AVT 180% · SNX 129% |
| Electronic Components | 26 | 74.1% | 80.2% | 80.1% | CLS 3813% · BELFA 1579% · LPTH 667% |
| Communications Equipment | 35 | 45.7% | 88.9% | 60.6% | AAOI 2215% · LITE 1086% · FEIM 904% |
| Semiconductors | 54 | 44.1% | 53.3% | 50.0% | POET 2208% · MU 1369% · NVDA 1086% |
| Technology Hardware, Storage & Peripherals | 22 | 37.1% | 88.0% | 32.4% | STX 1197% · WDC 1080% · DELL 981% |
| Internet Services & Infrastructure | 6 | 14.8% | 34.8% | 21.1% | DOCN 155% · GDDY 33% · VRSN 33% |
| Electronic Equipment & Instruments | 27 | 2.4% | 12.9% | -3.2% | PI 257% · SOTK 135% · NSSC 132% |
| IT Consulting & Other Services | 28 | -26.9% | -14.1% | -21.4% | CHRN 583847% · APLD 2415% · TSSI 762% |
| Application Software ← | 123 | -20.1% | -11.0% | -43.5% | VIDA 220809% · PLTR 583% · RDVT 170% |
| Systems Software | 67 | -9.2% | 23.2% | -48.5% | QNC 840% · PANW 522% · PAYS 426% |
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 20.19 |
| Mkt Cap | 2.7 |
| Rev LTM | 757 |
| Op Inc LTM | 47 |
| FCF LTM | 124 |
| FCF 3Y Avg | 83 |
| CFO LTM | 167 |
| CFO 3Y Avg | 118 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 13.3% |
| Rev Chg 3Y Avg | 10.0% |
| Rev Chg Q | 11.1% |
| QoQ Delta Rev Chg LTM | 2.5% |
| Op Inc Chg LTM | 237.6% |
| Op Inc Chg 3Y Avg | 144.4% |
| Op Mgn LTM | 5.4% |
| Op Mgn 3Y Avg | -0.5% |
| QoQ Delta Op Mgn LTM | 0.6% |
| CFO/Rev LTM | 19.8% |
| CFO/Rev 3Y Avg | 17.4% |
| FCF/Rev LTM | 15.9% |
| FCF/Rev 3Y Avg | 13.2% |
Price Behavior
| Market Price | $7.04 | |
| Market Cap ($ Bil) | 3.0 | |
| First Trading Date | 04/28/2022 | |
| Distance from 52W High | -67.1% | |
| 50 Days | 200 Days | |
| DMA Price | $6.80 | $8.90 |
| DMA Trend | down | down |
| Distance from DMA | 3.5% | -20.9% |
| 3M | 1YR | |
| Volatility | 68.7% | 74.2% |
| Downside Capture | 364.20 | 415.16 |
| Upside Capture | 219.50 | 236.03 |
| Correlation (SPY) | 57.0% | 52.5% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 3.47 | 2.85 | 2.52 | 3.11 | 3.04 | 2.96 |
| Up Beta | 4.37 | 3.27 | 1.82 | 3.44 | 3.24 | 3.17 |
| Down Beta | 4.78 | 2.81 | 2.68 | 2.18 | 2.56 | 2.26 |
| Up Capture | 247% | 163% | 191% | 388% | 543% | 26095% |
| Bmk +ve Days | 11 | 22 | 35 | 67 | 138 | 427 |
| Stock +ve Days | 8 | 15 | 23 | 50 | 106 | 324 |
| Down Capture | 300% | 310% | 281% | 242% | 186% | 112% |
| Bmk -ve Days | 11 | 21 | 28 | 59 | 114 | 326 |
| Stock -ve Days | 14 | 28 | 39 | 73 | 143 | 417 |
[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 SOUN | |
|---|---|---|---|---|
| SOUN | -57.6% | 74.3% | -0.84 | - |
| Sector ETF (XLK) | 43.0% | 25.9% | 1.34 | 51.8% |
| Equity (SPY) | 20.9% | 12.8% | 1.21 | 52.9% |
| Gold (GLD) | 32.1% | 28.5% | 0.97 | 30.9% |
| Commodities (DBC) | 40.1% | 20.2% | 1.55 | -7.1% |
| Real Estate (VNQ) | 14.2% | 13.9% | 0.72 | 6.1% |
| Bitcoin (BTCUSD) | -46.9% | 42.7% | -1.37 | 42.4% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with SOUN | |
|---|---|---|---|---|
| SOUN | -1.5% | 134.2% | 0.57 | - |
| Sector ETF (XLK) | 20.7% | 25.8% | 0.71 | 28.6% |
| Equity (SPY) | 13.3% | 17.2% | 0.60 | 28.9% |
| Gold (GLD) | 20.2% | 18.5% | 0.89 | 3.8% |
| Commodities (DBC) | 10.3% | 19.6% | 0.41 | 3.4% |
| Real Estate (VNQ) | 2.2% | 18.9% | 0.01 | 15.4% |
| Bitcoin (BTCUSD) | 6.3% | 52.7% | 0.31 | 18.7% |
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 SOUN | |
|---|---|---|---|---|
| SOUN | -0.7% | 134.2% | 0.57 | - |
| Sector ETF (XLK) | 24.6% | 24.9% | 0.89 | 28.6% |
| Equity (SPY) | 15.3% | 17.9% | 0.73 | 28.9% |
| Gold (GLD) | 12.3% | 16.2% | 0.62 | 3.8% |
| Commodities (DBC) | 7.8% | 18.1% | 0.35 | 3.4% |
| Real Estate (VNQ) | 4.9% | 20.7% | 0.20 | 15.4% |
| Bitcoin (BTCUSD) | 60.0% | 66.1% | 1.00 | 18.7% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Updated 8/14/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 8/5/2026 | 10.1% | 15.1% | |
| 5/7/2026 | -7.8% | -11.5% | -22.2% |
| 2/26/2026 | -4.2% | -7.9% | -34.3% |
| 11/6/2025 | -0.6% | -14.1% | -13.5% |
| 8/7/2025 | 26.4% | 54.3% | 42.6% |
| 5/8/2025 | -7.8% | 13.0% | 2.9% |
| 2/27/2025 | 17.5% | 3.7% | -7.7% |
| 11/12/2024 | -17.1% | -13.9% | 80.8% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 7 | 9 | 7 |
| # Negative | 9 | 7 | 8 |
| Median Positive | 7.2% | 15.1% | 17.9% |
| Median Negative | -6.5% | -11.5% | -17.9% |
| Max Positive | 26.4% | 54.3% | 170.7% |
| Max Negative | -18.7% | -24.1% | -40.7% |
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 8/5/2026 | 10.1% | 15.1% | |
| 5/7/2026 | -7.8% | -11.5% | -22.2% |
| 2/26/2026 | -4.2% | -7.9% | -34.3% |
| 11/6/2025 | -0.6% | -14.1% | -13.5% |
| 8/7/2025 | 26.4% | 54.3% | 42.6% |
| 5/8/2025 | -7.8% | 13.0% | 2.9% |
| 2/27/2025 | 17.5% | 3.7% | -7.7% |
| 11/12/2024 | -17.1% | -13.9% | 80.8% |
| 8/8/2024 | -6.5% | -5.0% | -11.3% |
| 5/9/2024 | 7.2% | 7.6% | 0.4% |
| 2/29/2024 | -18.7% | -24.1% | -25.1% |
| 11/9/2023 | 3.5% | 22.0% | 17.9% |
| 8/8/2023 | 3.5% | 16.6% | 17.6% |
| 1/24/2023 | -2.0% | 40.1% | 170.7% |
| 11/10/2022 | -4.2% | 7.4% | -40.7% |
| 8/11/2022 | 2.5% | -5.9% | -8.7% |
| SUMMARY STATS | |||
| # Positive | 7 | 9 | 7 |
| # Negative | 9 | 7 | 8 |
| Median Positive | 7.2% | 15.1% | 17.9% |
| Median Negative | -6.5% | -11.5% | -17.9% |
| Max Positive | 26.4% | 54.3% | 170.7% |
| Max Negative | -18.7% | -24.1% | -40.7% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 06/30/2026 | 08/10/2026 | 10-Q |
| 03/31/2026 | 05/11/2026 | 10-Q |
| 12/31/2025 | 03/02/2026 | 10-K |
| 09/30/2025 | 11/10/2025 | 10-Q |
| 06/30/2025 | 08/11/2025 | 10-Q |
| 03/31/2025 | 05/12/2025 | 10-Q |
| 12/31/2024 | 03/11/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/09/2024 | 10-Q |
| 03/31/2024 | 05/10/2024 | 10-Q |
| 12/31/2023 | 03/01/2024 | 10-K |
| 09/30/2023 | 11/15/2023 | 10-Q |
| 06/30/2023 | 08/11/2023 | 10-Q |
| 03/31/2023 | 05/12/2023 | 10-Q |
| 12/31/2022 | 03/28/2023 | 10-K |
| 09/30/2022 | 11/14/2022 | 10-Q |
| Report Date | Filing Date | Filing |
|---|---|---|
| 06/30/2026 | 08/10/2026 | 10-Q |
| 03/31/2026 | 05/11/2026 | 10-Q |
| 12/31/2025 | 03/02/2026 | 10-K |
| 09/30/2025 | 11/10/2025 | 10-Q |
| 06/30/2025 | 08/11/2025 | 10-Q |
| 03/31/2025 | 05/12/2025 | 10-Q |
| 12/31/2024 | 03/11/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/09/2024 | 10-Q |
| 03/31/2024 | 05/10/2024 | 10-Q |
| 12/31/2023 | 03/01/2024 | 10-K |
| 09/30/2023 | 11/15/2023 | 10-Q |
| 06/30/2023 | 08/11/2023 | 10-Q |
| 03/31/2023 | 05/12/2023 | 10-Q |
| 12/31/2022 | 03/28/2023 | 10-K |
| 09/30/2022 | 11/14/2022 | 10-Q |
| 06/30/2022 | 08/15/2022 | 10-Q |
| 12/31/2021 | 04/08/2022 | 424B3 |
Recent Forward Guidance
Updated 8/6/2026Latest: Q2 2026 Earnings Reported 8/5/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Revenue | 230.00 Mil | 245.00 Mil | 260.00 Mil | Raised | Guidance: 242.50 Mil for 2026 | ||
Prior: Q1 2026 Earnings Reported 5/7/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Revenue | 225.00 Mil | 242.50 Mil | 260.00 Mil | 0 | Affirmed | Guidance: 242.50 Mil for 2026 | |
| 2027 Revenue | 350.00 Mil | 375.00 Mil | 400.00 Mil | ||||
| 2026 Revenue Opportunity | 500.00 Mil | ||||||
Q4 2025 Earnings Reported 2/26/2026
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2026 Revenue | 225.00 Mil | 242.50 Mil | 260.00 Mil | 40.6% | Higher New | Guidance: 172.50 Mil for 2025 | |
Q3 2025 Earnings Reported 11/6/2025
| Forward Guidance | Guidance Change | ||||||
|---|---|---|---|---|---|---|---|
| Metric | Low | Mid | High | % Chg | % Delta | Change | Prior |
| 2025 Revenue | 165.00 Mil | 172.50 Mil | 180.00 Mil | 2.1% | Raised | Guidance: 169.00 Mil for 2025 | |
Insider Activity
Updated 8/3/2026| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Zagorsek, Michael | Chief Operating Officer | Direct | Sell | 6172026 | 7.46 | 64,994 | 484,712 | 12,450,775 | Form |
| 2 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 6172026 | 7.46 | 18,802 | 140,222 | 3,745,978 | Form |
| 3 | Hom, James Ming | Chief Product Officer | Direct | Sell | 6172026 | 7.46 | 28,843 | 215,105 | 5,545,031 | Form |
| 4 | Mohajer, Keyvan | CEO | Direct | Sell | 6172026 | 7.46 | 126,540 | 943,710 | 14,522,104 | Form |
| 5 | Emami, Majid | CSO & SVP, Engineering | Direct | Sell | 6172026 | 7.46 | 28,843 | 215,105 | 3,527,413 | Form |
| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Zagorsek, Michael | Chief Operating Officer | Direct | Sell | 6172026 | 7.46 | 64,994 | 484,712 | 12,450,775 | Form |
| 2 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 6172026 | 7.46 | 18,802 | 140,222 | 3,745,978 | Form |
| 3 | Hom, James Ming | Chief Product Officer | Direct | Sell | 6172026 | 7.46 | 28,843 | 215,105 | 5,545,031 | Form |
| 4 | Mohajer, Keyvan | CEO | Direct | Sell | 6172026 | 7.46 | 126,540 | 943,710 | 14,522,104 | Form |
| 5 | Emami, Majid | CSO & SVP, Engineering | Direct | Sell | 6172026 | 7.46 | 28,843 | 215,105 | 3,527,413 | Form |
| 6 | Sroka, Diana | Direct | Sell | 3242026 | 6.77 | 1,343 | 9,093 | 1,015,093 | Form | |
| 7 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 3242026 | 6.79 | 23,087 | 156,768 | 3,538,371 | Form |
| 8 | Zagorsek, Michael | Chief Operating Officer | Direct | Sell | 3242026 | 6.79 | 52,968 | 359,669 | 11,777,714 | Form |
| 9 | Sharan, Nitesh | Chief Financial Officer | Direct | Sell | 3242026 | 6.79 | 44,027 | 298,957 | 11,279,510 | Form |
| 10 | Mohajer, Keyvan | CEO | Direct | Sell | 3242026 | 6.79 | 124,510 | 845,460 | 14,081,568 | Form |
| 11 | Hom, James Ming | Chief Product Officer | Direct | Sell | 3242026 | 6.79 | 31,019 | 210,628 | 5,244,583 | Form |
| 12 | Emami, Majid | CSO & SVP, Engineering | Direct | Sell | 3242026 | 6.79 | 31,019 | 210,628 | 3,407,549 | Form |
| 13 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 1132026 | 12.00 | 29,676 | 356,112 | 6,530,148 | Form |
| 14 | Emami, Majid | CSO & SVP, Engineering | Direct | Sell | 12292025 | 10.66 | 32,741 | 348,937 | 5,678,796 | Form |
| 15 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 12292025 | 10.97 | 2,121 | 23,267 | 6,295,189 | Form |
| 16 | Sroka, Diana | Direct | Sell | 12292025 | 10.88 | 1,343 | 14,605 | 1,644,985 | Form | |
| 17 | Emami, Majid | CSO & SVP, Engineering | Direct | Sell | 12292025 | 11.28 | 42,600 | 480,396 | 6,378,057 | Form |
| 18 | Hom, James Ming | Chief Product Officer | Direct | Sell | 12292025 | 11.28 | 42,600 | 480,396 | 9,059,670 | Form |
| 19 | Mohajer, Keyvan | CEO | Direct | Sell | 12292025 | 11.28 | 144,326 | 1,627,550 | 24,789,863 | Form |
| 20 | Sharan, Nitesh | Chief Financial Officer | Direct | Sell | 12292025 | 11.28 | 60,780 | 685,410 | 19,228,783 | Form |
| 21 | Zagorsek, Michael | Chief Operating Officer | Direct | Sell | 12292025 | 11.28 | 73,406 | 827,792 | 20,156,996 | Form |
| 22 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 12292025 | 11.28 | 31,329 | 353,294 | 6,495,224 | Form |
| 23 | Sroka, Diana | Direct | Sell | 11142025 | 12.99 | 1,343 | 17,446 | 1,982,352 | Form | |
| 24 | Sharan, Nitesh | Chief Financial Officer | Direct | Sell | 10162025 | 21.21 | 60,376 | 1,280,575 | 37,455,333 | Form |
| 25 | Mohajer, Keyvan | CEO | Direct | Sell | 10102025 | 20.00 | 118,654 | 2,373,365 | 46,857,882 | Form |
| 26 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 10102025 | 20.00 | 70,524 | 1,410,480 | 12,130,500 | Form |
| 27 | Emami, Majid | VP, Engineering | Direct | Sell | 10102025 | 20.00 | 41,167 | 823,340 | 12,163,720 | Form |
| 28 | Emami, Majid | VP, Engineering | Direct | Sell | 9242025 | 17.86 | 36,185 | 646,260 | 11,597,380 | Form |
| 29 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 9242025 | 17.90 | 2,247 | 40,221 | 12,119,109 | Form |
| 30 | Sharan, Nitesh | Chief Financial Officer | Direct | Sell | 9242025 | 16.58 | 126,596 | 2,098,697 | 29,778,963 | Form |
| 31 | Emami, Majid | VP, Engineering | Direct | Sell | 9242025 | 16.00 | 42,119 | 673,971 | 10,969,705 | Form |
| 32 | Hom, James Ming | Chief Product Officer | Direct | Sell | 9242025 | 16.00 | 42,119 | 673,971 | 13,528,409 | Form |
| 33 | Mohajer, Keyvan | CEO | Direct | Sell | 9242025 | 16.00 | 138,523 | 2,216,590 | 39,384,210 | Form |
| 34 | Stonehocker, Timothy | Chief Technology Officer | Direct | Sell | 9242025 | 16.00 | 37,570 | 601,180 | 10,869,823 | Form |
| 35 | Zagorsek, Michael | Chief Operating Officer | Direct | Sell | 9242025 | 16.00 | 69,837 | 1,117,504 | 29,775,617 | Form |
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Industry Resources
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| Ars Technica |
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| Capterra |
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| SeekingAlpha | ValueLine |
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| MarketWatch | Unusual Whales |
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