Axe Compute (AGPU)
Market Price (4/18/2026): $3.6 | Market Cap: $12.2 MilSector: Information Technology | Industry: Systems Software
Axe Compute (AGPU)
Market Price (4/18/2026): $3.6Market Cap: $12.2 MilSector: Information TechnologyIndustry: Systems Software
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 -76% Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 48% Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include Advanced AI Accelerators, Edge AI Infrastructure, Show more. | Weak multi-year price returns2Y Excs Rtn is -74%, 3Y Excs Rtn is -109% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -28 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -22689% Expensive valuation multiplesP/SPrice/Sales ratio is 95x Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -11%, Rev Chg QQuarterly Revenue Change % is -1.3% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -7883%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -7883% Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 131% 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 -1956% High stock price volatilityVol 12M is 257% Key risksAGPU key risks include [1] its total business model dependency on the operational stability of the third-party Aethir decentralized GPU network and [2] significant liquidity challenges, 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 -76% |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 48% |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Cloud Computing. Themes include Advanced AI Accelerators, Edge AI Infrastructure, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -74%, 3Y Excs Rtn is -109% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -28 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -22689% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 95x |
| Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -11%, Rev Chg QQuarterly Revenue Change % is -1.3% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -7883%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -7883% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 131% |
| 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 -1956% |
| High stock price volatilityVol 12M is 257% |
| Key risksAGPU key risks include [1] its total business model dependency on the operational stability of the third-party Aethir decentralized GPU network and [2] significant liquidity challenges, Show more. |
Qualitative Assessment
AI Analysis | Feedback
1. Axe Compute reported a substantial net loss of $233.1 million for the fiscal year ended December 31, 2025, largely driven by non-cash items. Specifically, the company incurred $152.5 million in unrealized losses on its digital asset holdings (ATH tokens) as their market value declined, significantly impacting financial performance during its strategic pivot to a digital asset treasury strategy.
2. The company's new AI compute services segment generated no revenue in fiscal year 2025 despite a strategic rebranding and focus. This lack of revenue from its core new business, launched in September 2025, likely contributed to investor uncertainty and skepticism regarding the effectiveness and immediate financial returns of its strategic transformation.
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Stock Movement Drivers
Fundamental Drivers
The -49.7% change in AGPU stock from 12/31/2025 to 4/18/2026 was primarily driven by a -78.7% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 12312025 | 4182026 | Change |
|---|---|---|---|
| Stock Price ($) | 7.15 | 3.60 | -49.7% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 0 | 0 | -0.1% |
| P/S Multiple | 41.3 | 97.5 | 136.2% |
| Shares Outstanding (Mil) | 1 | 3 | -78.7% |
| Cumulative Contribution | -49.7% |
Market Drivers
12/31/2025 to 4/18/2026| Return | Correlation | |
|---|---|---|
| AGPU | -50.8% | |
| Market (SPY) | -5.4% | 9.1% |
| Sector (XLK) | 7.2% | 16.6% |
Fundamental Drivers
nullnull
Market Drivers
9/30/2025 to 4/18/2026| Return | Correlation | |
|---|---|---|
| AGPU | ||
| Market (SPY) | -2.9% | 12.5% |
| Sector (XLK) | 9.7% | 18.2% |
Fundamental Drivers
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Market Drivers
3/31/2025 to 4/18/2026| Return | Correlation | |
|---|---|---|
| AGPU | ||
| Market (SPY) | 16.3% | 12.5% |
| Sector (XLK) | 50.2% | 18.2% |
Fundamental Drivers
nullnull
Market Drivers
3/31/2023 to 4/18/2026| Return | Correlation | |
|---|---|---|
| AGPU | ||
| Market (SPY) | 63.3% | 12.5% |
| Sector (XLK) | 108.4% | 18.2% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| AGPU Return | - | - | - | - | 32% | -50% | -34% |
| Peers Return | 36% | -52% | 122% | 16% | 48% | 35% | 237% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 3% | 87% |
Monthly Win Rates [3] | |||||||
| AGPU Win Rate | - | - | - | - | 100% | 25% | |
| Peers Win Rate | 45% | 35% | 62% | 50% | 51% | 55% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| AGPU Max Drawdown | - | - | - | - | -1% | -80% | |
| Peers Max Drawdown | -20% | -61% | -13% | -32% | -26% | -11% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -7% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: CRWV, NVDA, AMD, INTC, RXRX.
[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 4/17/2026 (YTD)
How Low Can It Go
AGPU has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -34.0% | -25.4% |
| % Gain to Breakeven | 51.6% | 34.1% |
| Time to Breakeven | 278 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -31.5% | -33.9% |
| % Gain to Breakeven | 46.0% | 51.3% |
| Time to Breakeven | 79 days | 148 days |
| 2018 Correction | ||
| % Loss | -24.1% | -19.8% |
| % Gain to Breakeven | 31.8% | 24.7% |
| Time to Breakeven | 105 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -53.6% | -56.8% |
| % Gain to Breakeven | 115.3% | 131.3% |
| Time to Breakeven | 1,183 days | 1,480 days |
Compare to CRWV, NVDA, AMD, INTC, RXRX
In The Past
SPDR Select Sector Fund's stock fell -34.0% during the 2022 Inflation Shock from a high on 12/27/2021. A -34.0% loss requires a 51.6% gain to breakeven.
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About Axe Compute (AGPU)
AI Analysis | Feedback
It's like an **AI-powered IBM Watson**, but focused entirely on discovering and personalizing cancer therapies.
Imagine **23andMe** or **Ancestry.com**, but instead of just genetic insights, they use AI to find and develop personalized cancer treatments for patients.
AI Analysis | Feedback
- Clinical Testing & Research Services: Provides tumor drug response testing, genomic profiling, and AI-driven patient-centric drug discovery research.
- Organ-Specific Disease Models: Develops 3D human tissue models that simulate disease states for testing anticancer agents.
- Biologics Formulation & Stability: Offers services for high-throughput identification of soluble protein formulations, protein stability analysis, and bacterial endotoxin management.
- Medical Fluid Waste Management & Cell Culture: Delivers the STREAMWAY System for automated disposal of infectious fluids and specialized media for ex vivo cancer cell growth.
AI Analysis | Feedback
The company described in the background information, Predictive Oncology Inc. (symbol: AGPU), primarily sells its products and and services to other companies and institutions.
Its major categories of customers include:
- Pharmaceutical and Biotechnology Companies: These customers leverage Predictive Oncology Inc.'s AI-driven drug discovery, preclinical testing models (via the zPREDICTA segment), protein formulation and stability services (from the Soluble segment), and specialized R&D services and cell culture media.
- Healthcare Facilities and Providers: Hospitals, surgical centers, and clinics utilize the company's clinical testing services (via the Helomics segment), genomic profiling tests, and the STREAMWAY System for automated fluid waste management (from the Skyline segment).
- Academic and Contract Research Organizations (CROs): These organizations engage with Predictive Oncology Inc. for contract research services, patient-centric drug discovery, and specialized analytical and testing services across various segments.
AI Analysis | Feedback
nullAI Analysis | Feedback
Christopher Miglino
Chief Executive Officer
Christopher Miglino was appointed Chief Executive Officer of Axe Compute on February 9, 2026. He was instrumental in structuring Axe Compute's digital asset treasury and facilitating the company's entry into the AI compute market. With over 25 years of experience in technology, fintech, media, and digital assets, Mr. Miglino is also the co-founder and former CEO of SRAX Inc. (NASDAQ: SRAX), a financial technology company he launched in March 2010, took public on the OTC market in 2012, and subsequently listed on NASDAQ in 2015. Prior to SRAX, he founded Centerlinq, an interactive kiosk system, and Conscious Enlightenment, a media company, both of which he successfully sold to NASDAQ-traded companies. In 2020, SRAX acquired LD Micro, a micro-cap specialist data company. He was also involved in the sale of SRAX's remaining interest in the SRAX MD asset for $8 million in 2020. In May 2024, DNA Holdings LLC entered into a merger agreement to acquire a majority stake in SRAX, with Mr. Miglino expected to lead the combined entity as CEO.
Josh Blacher
Chief Financial Officer
Josh Blacher serves as the Chief Financial Officer of Axe Compute, having been appointed interim CFO for its predecessor, Predictive Oncology, on September 30, 2023, and confirmed as CFO on October 14, 2025. He brings over two decades of financial leadership experience in the life sciences and biotech sectors, specializing in financial strategy, capital raising, and corporate development for both private and public companies. Mr. Blacher's previous roles include CFO positions at Galmed Pharmaceuticals (October 2014 – March 2017) and Therapix Biosciences (April 2017 – April 2018), and Chief Business Officer at InMed Pharmaceuticals (April 2018 – August 2019), where he was instrumental in the company's NASDAQ IPO. He has also held CFO roles at Rampart Bioscience and Excision BioTherapeutics. Since August 2019, he has been a Managing Partner at Columbus Circle Capital, and from September 2022, he has provided CFO services through Danforth Advisors.
Sara Turken
Senior VP & General Counsel
Sara Turken is the Senior Vice President and General Counsel at Axe Compute.
Lawrence DeLucas
Senior Vice President of Biologics
Lawrence DeLucas serves as the Senior Vice President of Biologics at Axe Compute.
Thomas McLaughlin
Chief Investment Officer
Thomas McLaughlin is the Chief Investment Officer. He was mentioned in the context of Predictive Oncology (now Axe Compute) earnings calls, discussing the company's investment strategy and deployment of assets, particularly concerning its digital asset treasury.
AI Analysis | Feedback
Axe Compute Inc. (symbol: AGPU), formerly known as Predictive Oncology Inc., has undergone a significant strategic shift, rebranding in December 2025 to focus on decentralized artificial intelligence (AI) infrastructure while maintaining its legacy AI-driven drug discovery operations. This dual focus, with a strong emphasis on the new compute business, presents several key risks. The key risks to Axe Compute Inc. are: 1.Intense Competition and Market Acceptance in the AI Compute Infrastructure Market
Axe Compute Inc. is positioned in the rapidly evolving and highly competitive AI compute infrastructure sector, aiming to provide scalable, on-demand GPU infrastructure. This market is dominated by large, well-established technology companies and cloud providers with substantial resources. The company's success relies on its ability to effectively compete and gain market share, particularly as it leverages a decentralized cloud GPU network. Challenges include differentiating its offering, ensuring performance and reliability that meet enterprise demands, and securing widespread market acceptance for its decentralized model amidst offerings from entrenched centralized competitors. 2.Dependence on the Aethir Decentralized Cloud GPU Network
Axe Compute Inc.'s core strategy for its new AI compute infrastructure business involves leveraging the Aethir decentralized cloud GPU network. This creates a significant dependency on a third-party network, meaning Axe Compute's operational efficiency, service reliability, technological advancement, and overall business viability are closely tied to the performance, security, and sustained innovation of the Aethir network. Any disruptions, performance issues, or strategic changes within Aethir could directly and adversely impact Axe Compute's ability to deliver its services and generate revenue. 3.Strategic Uncertainty and Transition of the Legacy AI-Driven Drug Discovery Business
While Axe Compute Inc. has maintained its legacy AI-driven drug discovery business (including segments like Helomics, zPREDICTA, Soluble, and Skyline, which focus on personalized cancer therapies and related services), the company is "exploring strategic options for its Helomics Business". This indicates an uncertain future for this segment. The exploration of strategic options, including potential divestiture or de-emphasis, could impact the company's financial performance, diversification, and overall strategic focus. Furthermore, the inherent risks of drug discovery, such as lengthy development cycles, high costs, and regulatory hurdles, continue to pose challenges for this part of the business, especially if it is no longer the primary strategic focus.AI Analysis | Feedback
Here are clear emerging threats for Predictive Oncology Inc. (AGPU):
- Advancements in AI from larger tech and pharmaceutical players: Predictive Oncology leverages AI for personalized cancer therapies and drug discovery. However, larger technology companies and major pharmaceutical firms are investing heavily in developing more powerful, comprehensive, and widely accessible AI platforms for oncology research, diagnostics, and drug development. If these entities deploy superior AI models with greater predictive accuracy, speed, or integrated functionality across the drug discovery and clinical trial continuum, they could significantly undermine the specialized AI offerings of Predictive Oncology’s Helomics and zPREDICTA segments. This parallels how larger, more integrated ecosystems disrupted specialized technologies in historical examples.
- Disruptive *in vitro* modeling technologies: The zPREDICTA segment focuses on developing organ-specific 3D disease models for testing anticancer agents. The rapid emergence and adoption of advanced *in vitro* technologies, such as "organ-on-a-chip" systems or more complex microphysiological systems, pose a significant threat. These newer models often offer enhanced physiological relevance, higher throughput capabilities, and potentially lower costs for drug screening, which could lead pharmaceutical companies to prefer them over zPREDICTA's current 3D reconstruction models.
- Evolution of surgical fluid waste management systems: The Skyline segment's STREAMWAY System provides an automated solution for surgical fluid waste. An emerging threat comes from the development of entirely new, potentially more cost-effective, or integrated systems for managing surgical fluids. This could include advanced robotic solutions that incorporate fluid handling, more sophisticated disposable systems offering comparable safety and efficiency at a lower capital expenditure, or shifts in surgical practices that minimize fluid waste, thereby reducing the demand for dedicated, wall-mounted systems like STREAMWAY.
AI Analysis | Feedback
Axe Compute Inc. (NASDAQ: AGPU), formerly known as Predictive Oncology Inc., operates in several market segments related to AI-driven drug discovery, biomedical research services, and more recently, AI compute infrastructure.
Addressable Markets for Axe Compute Inc. (AGPU)
The addressable markets for Axe Compute's main products and services are primarily global, with significant activity and growth often highlighted in North America and Asia-Pacific regions.
AI-Driven Drug Discovery and Related Services:
- AI-Powered Drug Discovery: The global AI-powered drug discovery market was valued at approximately USD 1.89 billion in 2024 and is projected to reach about USD 15.71 billion by 2032, expanding at a compound annual growth rate (CAGR) of 30.3%. Another estimate places the market at USD 2.35 billion in 2025, growing to USD 13.77 billion by 2033.
- Genomic Profiling and Testing (Helomics segment): The global genomic tests market size was valued at USD 18.24 billion in 2025 and is expected to reach USD 39.87 billion by 2033. The global precision genomic testing market, a related area, is projected to grow from USD 17.89 billion in 2025 to approximately USD 62.34 billion by 2034.
- 3D Cell Culture Models (zPREDICTA segment): The global 3D cell culture market was valued at about USD 2.98 billion in 2025 and is estimated to reach USD 8.30 billion by 2034, with North America holding a significant share (over 39.8% in 2025). Other projections indicate the market reaching USD 7.83 billion by 2035 from USD 2.61 billion in 2025.
- Protein Stability Analysis (Soluble segment): The global protein stability analysis market is valued at approximately USD 2.44 billion in 2025 and is expected to reach USD 5.23 billion by 2032. Another report estimates the market at USD 2.14 billion in 2025, growing to USD 4.33 billion by 2033.
- Bacterial Endotoxin Testing (Soluble segment): The global bacterial endotoxin testing market was valued at USD 1.38 billion in 2025 and is expected to attain around USD 2.77 billion by 2033. Another source states a market size of USD 1.26 billion in 2024, projected to reach USD 3.02 billion by 2034.
- Cancer Cell Culture Media (Skyline/TumorGenesis segment): The global cell culture media market size is valued at approximately USD 3.86 billion in 2025 and is expected to reach USD 7.72 billion by 2032. Another projection shows the market at USD 7.69 billion in 2025, reaching around USD 20.32 billion by 2034.
AI Compute Infrastructure and GPU Cloud Services (Newer Focus):
- AI Infrastructure: The global Artificial Intelligence (AI) infrastructure market is projected to reach USD 164.0 billion in 2025 and grow to USD 853.3 billion by 2034. Other estimates include a market size of USD 58.78 billion in 2025, growing to USD 497.98 billion by 2034, registering a CAGR of 26.60%. North America held 37.10% of this market in 2025. A significant portion of this market, particularly the hardware segment (63.26% in 2026), is driven by specialized chips like GPUs.
AI Analysis | Feedback
Axe Compute (NASDAQ: AGPU) is expected to drive future revenue growth over the next 2-3 years through several key initiatives, primarily stemming from its strategic pivot into high-performance artificial intelligence (AI) infrastructure services, while continuing its existing AI-driven drug discovery operations. The company, formerly known as Predictive Oncology Inc., rebranded as Axe Compute Inc. on December 12, 2025, and began trading under the AGPU ticker, signaling a significant expansion of its business model.
The expected drivers of future revenue growth include:
-
Expansion into High-Performance Enterprise AI Infrastructure Services: A primary driver of future revenue is the company's strategic expansion into providing high-performance enterprise AI infrastructure. This new focus aims to meet the escalating global demand for predictable and scalable compute capacity required for various AI workloads. By diversifying its offerings beyond drug discovery, Axe Compute is tapping into a rapidly growing market for AI computing power.
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Commercialization of the Aethir Decentralized GPU Network: Axe Compute plans to monetize access to the Aethir decentralized GPU network. The company intends to acquire rights to digital assets tied to compute capacity, starting with the Aethir network, to offer guaranteed GPU capacity, service-level agreements (SLAs), and corporate counterparty services to enterprises. This strategy establishes a new and direct revenue stream by providing essential computing resources to AI enterprises.
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Addressing the AI Compute Supply Bottleneck for Enterprises: The company is positioning itself to alleviate the critical industry challenge of extended procurement timelines (40-52 weeks) for high-end GPU hardware and capacity constraints faced with centralized cloud providers. By offering a solution to this supply bottleneck through predictable and scalable decentralized compute resources, Axe Compute aims to attract and retain enterprise customers seeking immediate and reliable access to AI computing power.
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Continued Revenue from AI-Driven Drug Discovery Operations: Despite its sharpened focus on AI compute infrastructure, Axe Compute will continue to operate its AI-driven drug discovery business. This segment, which leverages artificial intelligence for personalized cancer therapies, is expected to continue contributing to the company's overall revenue, building on its foundational expertise.
AI Analysis | Feedback
Capital Allocation Decisions for Axe Compute (AGPU)
Share Issuance
- In October 2025, the company closed private investment in public equity (PIPE) transactions totaling approximately $343.5 million. This included approximately $50.8 million in cash proceeds from the sale of shares and pre-funded warrants, and an in-kind contribution of ATH tokens with a notional value of approximately $292.7 million (discounted value of $173.3 million) in exchange for pre-funded warrants.
- Predictive Oncology Inc. (now Axe Compute Inc.) completed two reverse stock splits: a 1-for-20 split in April 2023 and a 1-for-15 split in September 2025, both primarily aimed at maintaining compliance with Nasdaq's minimum bid price requirement.
- Between January and February 2021, the company conducted registered direct offerings and a private placement, collectively raising approximately $29.1 million through the issuance of shares and associated warrants.
Inbound Investments
- Axe Compute received approximately $50.8 million in cash from a private placement and an in-kind contribution of ATH tokens valued at a discounted $173.3 million (notional $292.7 million) through PIPE transactions in October 2025 to support its digital asset treasury strategy.
- In July 2025, the company secured a $10 million Standby Equity Purchase Agreement (SEPA) with Yorkville Advisors Global, LP, providing a flexible funding source for its AI-driven drug discovery and ChemoFx expansion initiatives.
Outbound Investments
- In May 2025, Predictive Oncology Inc. completed the sale of its Skyline Medical assets to strategically streamline operations and sharpen its focus on AI-driven drug discovery capabilities.
- Axe Compute initiated a digital asset treasury strategy in December 2025, involving the acquisition of rights to digital assets (ATH tokens) tied to AI infrastructure, with plans to deploy these assets to generate revenue from enterprise clients.
- As of February 2026, Axe Compute is exploring strategic options for its Helomics business, indicating a potential divestiture of this segment to further focus on its core AI compute infrastructure.
Capital Expenditures
- The company's strategic shift in December 2025 involves acquiring rights to digital assets to secure GPU capacity and services for AI infrastructure, rather than making heavy physical infrastructure investments.
- In 2021 and 2022, cash flows used in investing activities were $10,607,536 and $475,697, respectively.
- For the nine months ended September 30, 2025, net cash used in operating activities from continuing operations was $5.9 million, averaging around $656,000 per month.
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Research & Analysis
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 92.60 |
| Mkt Cap | 195.0 |
| Rev LTM | 19,885 |
| Op Inc LTM | -26 |
| FCF LTM | -195 |
| FCF 3Y Avg | -11 |
| CFO LTM | 5,384 |
| CFO 3Y Avg | 4,139 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 41.0% |
| Rev Chg 3Y Avg | 14.7% |
| Rev Chg Q | 53.7% |
| QoQ Delta Rev Chg LTM | 11.8% |
| Op Inc Chg LTM | 12.4% |
| Op Inc Chg 3Y Avg | -38.2% |
| Op Mgn LTM | -0.5% |
| Op Mgn 3Y Avg | -3.0% |
| QoQ Delta Op Mgn LTM | 0.7% |
| CFO/Rev LTM | 20.3% |
| CFO/Rev 3Y Avg | 13.8% |
| FCF/Rev LTM | -75.3% |
| FCF/Rev 3Y Avg | -21.7% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 195.0 |
| P/S | 17.8 |
| P/Op Inc | -1.7 |
| P/EBIT | 70.0 |
| P/E | -1.6 |
| P/CFO | 26.8 |
| Total Yield | -1.0% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | -4.0% |
| D/E | 0.1 |
| Net D/E | -0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 40.0% |
| 3M Rtn | 11.7% |
| 6M Rtn | -2.4% |
| 12M Rtn | 148.6% |
| 3Y Rtn | 158.4% |
| 1M Excs Rtn | 32.5% |
| 3M Excs Rtn | 11.9% |
| 6M Excs Rtn | -8.9% |
| 12M Excs Rtn | 101.0% |
| 3Y Excs Rtn | 81.3% |
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 3/31/2026 | 119.8% | 177.8% | |
| SUMMARY STATS | |||
| # Positive | 1 | 1 | 0 |
| # Negative | 0 | 0 | 0 |
| Median Positive | 119.8% | 177.8% | |
| Median Negative | |||
| Max Positive | 119.8% | 177.8% | |
| Max Negative | |||
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 03/31/2026 | 10-K |
| 09/30/2025 | 11/14/2025 | 10-Q |
| 06/30/2025 | 08/13/2025 | 10-Q |
| 03/31/2025 | 05/14/2025 | 10-Q |
| 12/31/2024 | 03/31/2025 | 10-K |
| 09/30/2024 | 11/12/2024 | 10-Q |
| 06/30/2024 | 08/13/2024 | 10-Q |
| 03/31/2024 | 05/14/2024 | 10-Q |
| 12/31/2023 | 03/28/2024 | 10-K |
| 09/30/2023 | 11/13/2023 | 10-Q |
| 06/30/2023 | 08/10/2023 | 10-Q |
| 03/31/2023 | 05/15/2023 | 10-Q |
| 12/31/2022 | 03/21/2023 | 10-K |
| 09/30/2022 | 11/10/2022 | 10-Q |
| 06/30/2022 | 08/11/2022 | 10-Q |
| 03/31/2022 | 05/12/2022 | 10-Q |
External Quote Links
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