Fusemachines (FUSE)
Market Price (7/28/2026): $0.8698 | Market Cap: $25.2 MilSector: Information Technology | Industry: Application Software
Fusemachines (FUSE)
Market Price (7/28/2026): $0.8698Market Cap: $25.2 MilSector: Information TechnologyIndustry: Application Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Megatrend and thematic driversMegatrends include Artificial Intelligence, and Autonomous Technologies. Themes include AI Software Platforms, and Machine Learning. | Weak multi-year price returns2Y Excs Rtn is -132%, 3Y Excs Rtn is -158% | Penny stockMkt Price is 0.9 Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -7.5 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -95% Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 12% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -46%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -47% High stock price volatilityVol 12M is 194% Significant short interestShort Interest Days-to-CoverDTC = (Short Interest Share Quantity) / (Average Daily Trading Volume). Reflects how many days it would take to cover (close out) the short interest based on average volumes. High DTC can signify an increased risk of a short squeeze. is 21.82 Key risksFUSE key risks include [1] potential disruption and failure to realize benefits from its recent business combination, Show more. |
| Megatrend and thematic driversMegatrends include Artificial Intelligence, and Autonomous Technologies. Themes include AI Software Platforms, and Machine Learning. |
| Weak multi-year price returns2Y Excs Rtn is -132%, 3Y Excs Rtn is -158% |
| Penny stockMkt Price is 0.9 |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -7.5 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -95% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 12% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -46%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -47% |
| High stock price volatilityVol 12M is 194% |
| Significant short interestShort Interest Days-to-CoverDTC = (Short Interest Share Quantity) / (Average Daily Trading Volume). Reflects how many days it would take to cover (close out) the short interest based on average volumes. High DTC can signify an increased risk of a short squeeze. is 21.82 |
| Key risksFUSE key risks include [1] potential disruption and failure to realize benefits from its recent business combination, Show more. |
Qualitative Assessment
AI Analysis | Feedback
Fusemachines (FUSE) stock has lost about 10% since 3/31/2026 because of the following key factors:
1. Continued Negative Profitability and Declining Revenue for fiscal Q1 2026. Fusemachines reported an Earnings Per Share (EPS) of -$0.03 and revenue of $1.88 million for fiscal Q1 2026 (period ending March 31, 2026), with the revenue marking a 2.03% decrease from the previous quarter. The company recorded a net loss of -$1 million for fiscal Q1 2026, representing a 244.7% year-over-year decrease. Furthermore, the net profit for the trailing twelve months ending March 31, 2026, was a loss of -$1.55 million, indicating an 87.46% year-over-year decline. These figures underscore persistent operational inefficiencies and financial challenges.
2. Weak Financial Health and Liquidity Concerns. As of April 12, 2026, Fusemachines demonstrated a negative EBIT margin of -8.5% and a profit margin of -12.03%. The company's balance sheet also revealed a negative total equity of -$14.57 million and negative cash flow from operations, pointing to significant financial strain. Additionally, the quick ratio stood at 0.17 and the current ratio at 0.21, highlighting liquidity constraints.
Show more
Fusemachines (FUSE) stock has lost about 10% since 3/31/2026 because of the following key factors:
1. Continued Negative Profitability and Declining Revenue for fiscal Q1 2026. Fusemachines reported an Earnings Per Share (EPS) of -$0.03 and revenue of $1.88 million for fiscal Q1 2026 (period ending March 31, 2026), with the revenue marking a 2.03% decrease from the previous quarter. The company recorded a net loss of -$1 million for fiscal Q1 2026, representing a 244.7% year-over-year decrease. Furthermore, the net profit for the trailing twelve months ending March 31, 2026, was a loss of -$1.55 million, indicating an 87.46% year-over-year decline. These figures underscore persistent operational inefficiencies and financial challenges.
2. Weak Financial Health and Liquidity Concerns. As of April 12, 2026, Fusemachines demonstrated a negative EBIT margin of -8.5% and a profit margin of -12.03%. The company's balance sheet also revealed a negative total equity of -$14.57 million and negative cash flow from operations, pointing to significant financial strain. Additionally, the quick ratio stood at 0.17 and the current ratio at 0.21, highlighting liquidity constraints.
3. Substantial Shareholder Dilution. Over the past year, Fusemachines shareholders experienced significant dilution, with the total number of outstanding shares increasing by 373.1%. This substantial increase in shares can reduce the value of existing holdings and negatively impact investor sentiment, contributing to downward pressure on the stock price.
4. Nasdaq Listing Rule Non-Compliance. Fusemachines received a deficiency notice from Nasdaq for not maintaining the minimum market value of listed securities, though it later regained compliance on July 7, 2026. This period of non-compliance and the associated uncertainty likely contributed to investor concern and selling pressure, reflecting underlying issues with the company's market valuation.
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Stock Movement Drivers
Fundamental Drivers
The -9.3% change in FUSE stock from 3/31/2026 to 7/27/2026 was primarily driven by a -8.4% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 3312026 | 7272026 | Change |
|---|---|---|---|
| Stock Price ($) | 0.95 | 0.86 | -9.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | � | 8 | 0.0% |
| P/S Multiple | � | 3.1 | 0.0% |
| Shares Outstanding (Mil) | 27 | 29 | -8.4% |
| Cumulative Contribution | 0.0% |
Market Drivers
3/31/2026 to 7/27/2026| Return | Correlation | |
|---|---|---|
| FUSE | -9.3% | |
| Market (SPY) | 13.6% | 3.4% |
| Sector (XLK) | 31.2% | 5.4% |
Fundamental Drivers
The -47.9% change in FUSE stock from 12/31/2025 to 7/27/2026 was primarily driven by a -8.4% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 12312025 | 7272026 | Change |
|---|---|---|---|
| Stock Price ($) | 1.65 | 0.86 | -47.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | � | 8 | 0.0% |
| P/S Multiple | � | 3.1 | 0.0% |
| Shares Outstanding (Mil) | 27 | 29 | -8.4% |
| Cumulative Contribution | 0.0% |
Market Drivers
12/31/2025 to 7/27/2026| Return | Correlation | |
|---|---|---|
| FUSE | -47.9% | |
| Market (SPY) | 8.7% | 5.1% |
| Sector (XLK) | 21.2% | 8.2% |
Fundamental Drivers
The -97.9% change in FUSE stock from 6/30/2025 to 7/27/2026 was primarily driven by a -8.4% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 6302025 | 7272026 | Change |
|---|---|---|---|
| Stock Price ($) | 41.55 | 0.86 | -97.9% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | � | 8 | 0.0% |
| P/S Multiple | � | 3.1 | 0.0% |
| Shares Outstanding (Mil) | 27 | 29 | -8.4% |
| Cumulative Contribution | 0.0% |
Market Drivers
6/30/2025 to 7/27/2026| Return | Correlation | |
|---|---|---|
| FUSE | -97.9% | |
| Market (SPY) | 20.6% | 10.9% |
| Sector (XLK) | 38.2% | 12.9% |
Fundamental Drivers
nullnull
Market Drivers
6/30/2023 to 7/27/2026| Return | Correlation | |
|---|---|---|
| FUSE | -94.7% | |
| Market (SPY) | 72.6% | 2.0% |
| Sector (XLK) | 104.3% | 5.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| FUSE Return | 970% | -85% | 237% | -34% | -96% | -47% | -92% |
| Peers Return | 18% | -52% | 78% | 66% | -6% | -44% | -13% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 8% | 97% |
Monthly Win Rates [3] | |||||||
| FUSE Win Rate | 33% | 0% | 17% | 8% | 0% | 14% | |
| Peers Win Rate | 53% | 37% | 53% | 48% | 45% | 34% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 43% | |
Max Drawdowns [4] | |||||||
| FUSE Max Drawdown | -40% | -85% | -20% | -44% | -96% | -69% | |
| Peers Max Drawdown | -39% | -60% | -33% | -36% | -54% | -54% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: ACN, EPAM, GLOB, PLTR, AI.
[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 7/27/2026 (YTD)
How Low Can It Go
| Event | FUSE | S&P 500 |
|---|---|---|
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -10.7% | -9.5% |
| % Gain to Breakeven | 12.0% | 10.5% |
| Time to Breakeven | 60 days | 24 days |
In The Past
Fusemachines's stock fell 0.0% during the 2024 Yen Carry Trade Unwind. Such a loss loss requires a 0.0% gain to breakeven.
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In The Past
Fusemachines's stock fell 0.0% during the 2024 Yen Carry Trade Unwind. Such a loss loss requires a 0.0% 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 Fusemachines (FUSE)
Fusemachines Inc. (FUSE) is an artificial intelligence (AI) company that specializes in developing and delivering AI as a Service (AIaaS) and machine learning (ML) software solutions. The company aims to provide advanced AI-driven tools and services to improve business operations, data management, and analytical capabilities for its clients.
The company's key products include Fuse Anna, an AI assistant designed to manage follow-ups and daily reminders, and Fuse Prospector, an AI-powered sales platform. Beyond these specific products, Fusemachines offers broader AI as a Service for big data processing, data management, and cloud analytics, as well as managed outbound services. Furthermore, Fusemachines extends its reach into AI education through programs like the Fusemachines AI fellowship, supporting scholars from underserved communities, and Fusemachines Academy, a learning platform for AI and ML skill development.
Fusemachines primarily serves a diverse set of customers across various sectors, including governments, financial institutions, and e-commerce companies. Its AI solutions are designed to cater to the specific needs of these clients, enhancing their operational efficiency, sales processes, and data intelligence.
AI Analysis | Feedback
They are like SAP, but instead of ERP systems, they develop and deliver AI software and managed services for businesses.
They are like Salesforce, but focused purely on developing and delivering AI-powered tools and services for business operations.
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- Fuse Anna: An AI assistant designed for follow-ups through daily reminders.
- Fuse Prospector: An artificial intelligence sales platform.
- Managed Outbound Services: Services providing support for outbound business operations.
- AI as a Service: Solutions for big data processing, data management, and cloud analytics.
- Fusemachines AI Fellowship Program: A program offering mentorship and resources for developing advanced AI/ML skills to selected scholars.
- Fusemachines Academy: A learning platform dedicated to building and enhancing AI and machine learning skills.
AI Analysis | Feedback
The provided company description for Fusemachines (FUSE) does not list specific names of customer companies.
However, it states that Fusemachines serves the following major categories of customers:
- Governments
- Financial institutions
- E-commerce companies
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Sameer Maskey, Founder and CEO
Dr. Sameer Maskey is a computer scientist, educator, and entrepreneur who founded Fusemachines Inc. in 2013. He currently serves as an Adjunct Associate Professor at Columbia University, where he teaches AI and machine learning. Before establishing Fusemachines, Dr. Maskey led pioneering AI research in Natural Language and Speech processing at the IBM Watson Research Center. He possesses over 18-20 years of experience in artificial intelligence, natural language processing, machine learning, and data science. Dr. Maskey holds a PhD in Computer Science (AI/ML) from Columbia University and degrees in Math and Physics from Bates College. Fusemachines recently completed a business combination with a SPAC, CSLM Acquisition Corp., and began trading on Nasdaq on October 23, 2025.
Christine Chambers, CFO
Christine Chambers was appointed as the Chief Financial Officer of Fusemachines in August 2025. She is a seasoned CFO with more than 20 years of experience in leading financial operations and developing growth strategies. Her background includes experience with multiple publicly traded companies, such as RealNetworks and PetMed Express. She has deep experience leading finance in high-growth environments.
Anish Joshi, Head of Technology
Anish Joshi serves as the Head of Technology for Fusemachines.
Parag Shrestha, Head of Strategy
Parag Shrestha is the Head of Strategy at Fusemachines.
Robert Traghetto, Head of AI Services
Robert Traghetto holds the position of Head of AI Services at Fusemachines.
AI Analysis | Feedback
AI Analysis | Feedback
A significant emerging threat to Fusemachines (FUSE) is the rapid commoditization and integration of artificial intelligence capabilities, particularly generative AI, by major cloud providers (hyperscalers like Amazon Web Services, Microsoft Azure, and Google Cloud) and the proliferation of specialized AI tools from established software vendors and nimble startups. These entities are increasingly offering comprehensive AI as a Service platforms, pre-trained models, and purpose-built AI applications that directly compete with Fusemachines' offerings such as Fuse Anna (AI assistant), Fuse Prospector (AI sales platform), and their managed AI services for big data processing, data management, and cloud analytics. The scale, integration capabilities, and aggressive development by these larger players could make it challenging for Fusemachines to maintain a unique competitive advantage and acquire or retain clients who might find more integrated or cost-effective solutions elsewhere.
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Addressable Markets for Fusemachines' Main Products and Services (Global)
- AI as a Service (AIaaS) and Machine Learning Software Solutions: The global artificial intelligence as a service market size was valued at approximately USD 16.48 billion in 2025 and is projected to reach around USD 294.83 billion by 2034, expanding at a Compound Annual Growth Rate (CAGR) of 37.78% from 2024 to 2034.
- Fuse Anna (AI Assistant for Follow-ups): The global AI assistant software market size was estimated at USD 8.46 billion in 2024 and is projected to reach USD 35.72 billion by 2033, growing at a CAGR of 17.5% from 2025 to 2033.
- Fuse Prospector (AI Sales Platform) and Managed Outbound Services: The global sales intelligence market size was valued at USD 4.85 billion in 2025 and is expected to grow to USD 12.45 billion by 2034, with a CAGR of 11.10% over the forecast period.
- Big Data Processing: The global big data market size was worth USD 199.63 billion in 2024 and is projected to grow to USD 573.47 billion by 2033, growing at a CAGR of 12.44% from 2025 to 2033.
- Data Management: The global enterprise data management market size was estimated to have a market value of USD 115.32 billion in 2025 and is expected to rise to USD 311.95 billion by 2034, with a CAGR of 11.69%.
- Cloud Analytics: The global cloud analytics market size was calculated at USD 45.49 billion in 2025 and is predicted to increase from USD 53.79 billion in 2026 to approximately USD 233.95 billion by 2035, expanding at a CAGR of 17.79% from 2026 to 2035.
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Expected Drivers of Future Revenue Growth for Fusemachines (FUSE) over the Next 2-3 Years
Fusemachines (NASDAQ: FUSE) anticipates several key drivers for its revenue growth over the next 2-3 years, primarily stemming from its strategic focus on expanding its artificial intelligence (AI) solutions and market reach. These drivers include:
- Focused Vertical Expansion and Product Innovation: Fusemachines plans to prioritize growth in the retail and real estate sectors by leveraging its AI Studio and AI Engines to develop and deploy industry-specific AI solutions. This vertical-specific approach aims to capture market share where the company has demonstrated early success and a clear ability to deliver measurable enterprise value.
- Increased Sales and Marketing Investment: The company intends to drive organic growth by significantly increasing its investment in sales and marketing efforts. This strategy is aimed at expanding its client base and deepening existing customer relationships for its enterprise AI products and services.
- Strategic Partnerships and Global Reseller Network Expansion: Fusemachines is actively pursuing strategic partnerships, including expanding its global reseller network with entities like Genese Solution and ModulAIre. This initiative is designed to broaden the distribution and adoption of its AI Studio and AI Engines across various markets worldwide, allowing for scalable growth opportunities.
- Selective Acquisitions: To complement its existing platform and accelerate its scale, Fusemachines plans to undertake selective acquisitions. This inorganic growth strategy will enable the company to enhance its capabilities and market presence more rapidly.
- Continued Development and Enhancement of AI Studio and AI Engines: The core of Fusemachines' offerings, its proprietary AI Studio and portfolio of AI Engines, are central to its growth strategy. Ongoing product innovation and the introduction of new AI-powered solutions, such as the Interview AI Agent in AI Studio, are expected to attract new clients and deliver greater value to existing ones.
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Share Issuance
- Fusemachines completed a business combination with CSLM Acquisition Corp., resulting in the company becoming publicly traded on Nasdaq under the ticker "FUSE" on October 23, 2025. This transaction valued the combined company at $200 million, with $200,000,000 of stock consideration issued at $10.00 per share.
- The company registered for the potential issuance of up to 9,487,500 shares of common stock upon the exercise of public warrants in December 2025.
- In December 2025, Fusemachines issued 588,235 shares of common stock at $1.70 per share through a private placement to Consilium Frontier Equity Fund LP.
Inbound Investments
- In December 2025, Fusemachines received a $1 million follow-on equity investment from Consilium Investment Management, structured as a private investment in public equity (PIPE).
- In February 2025, an affiliate of CSLM's sponsor provided $2,160,000 in financing to Fusemachines in exchange for a convertible note.
Outbound Investments
- As part of its 2026 growth strategy, Fusemachines plans to pursue strategic acquisitions to enhance its platform capabilities and accelerate market expansion.
Capital Expenditures
- Capital expenditures for the last 12 months (prior to March 2026) were reported as $28,000.
- Proceeds from the October 2025 business combination are intended to strengthen the balance sheet and strategically invest in product innovation, customer expansion, and sales and marketing to drive growth.
- For 2026, the company plans to focus capital on advancing product innovation, particularly in the retail and real estate sectors, and increasing investment in sales and marketing.
Research & Analysis
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Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 63.41 |
| Mkt Cap | 3.2 |
| Rev LTM | 3,838 |
| Op Inc LTM | 385 |
| FCF LTM | 399 |
| FCF 3Y Avg | 513 |
| CFO LTM | 467 |
| CFO 3Y Avg | 551 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 6.7% |
| Rev Chg 3Y Avg | 6.2% |
| Rev Chg Q | 6.6% |
| QoQ Delta Rev Chg LTM | 1.6% |
| Op Inc Chg LTM | 0.8% |
| Op Inc Chg 3Y Avg | 3.3% |
| Op Mgn LTM | 9.6% |
| Op Mgn 3Y Avg | 10.6% |
| QoQ Delta Op Mgn LTM | 0.1% |
| CFO/Rev LTM | 12.3% |
| CFO/Rev 3Y Avg | 13.2% |
| FCF/Rev LTM | 10.1% |
| FCF/Rev 3Y Avg | 10.3% |
Price Behavior
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 0.69 | 0.69 | -0.44 | 0.75 | 1.20 | 0.07 |
| Up Beta | 1.05 | 1.10 | -0.11 | -0.59 | -0.07 | -0.10 |
| Down Beta | -0.10 | -1.04 | 6.07 | 2.66 | 2.64 | 1.07 |
| Up Capture | -85% | -52% | -71% | 14% | -40% | -5% |
| Bmk +ve Days | 11 | 24 | 40 | 67 | 140 | 429 |
| Stock +ve Days | 6 | 14 | 22 | 42 | 64 | 68 |
| Down Capture | 226% | 278% | -222% | 155% | 198% | 86% |
| Bmk -ve Days | 10 | 17 | 23 | 58 | 112 | 321 |
| Stock -ve Days | 12 | 22 | 35 | 75 | 99 | 105 |
[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 FUSE | |
|---|---|---|---|---|
| FUSE | -94.3% | 210.3% | -0.61 | - |
| Sector ETF (XLK) | 34.1% | 24.8% | 1.13 | 12.9% |
| Equity (SPY) | 17.6% | 12.7% | 1.00 | 10.9% |
| Gold (GLD) | 20.8% | 28.1% | 0.66 | -11.5% |
| Commodities (DBC) | 29.6% | 19.5% | 1.21 | -16.8% |
| Real Estate (VNQ) | 13.9% | 14.1% | 0.69 | -12.2% |
| Bitcoin (BTCUSD) | -46.0% | 43.0% | -1.31 | 3.9% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with FUSE | |
|---|---|---|---|---|
| FUSE | -42.1% | 188.9% | -0.47 | - |
| Sector ETF (XLK) | 19.5% | 25.6% | 0.68 | 12.5% |
| Equity (SPY) | 13.2% | 17.1% | 0.59 | 10.1% |
| Gold (GLD) | 17.2% | 18.4% | 0.75 | -11.2% |
| Commodities (DBC) | 9.7% | 19.5% | 0.38 | -15.3% |
| Real Estate (VNQ) | 3.3% | 18.9% | 0.07 | -11.2% |
| Bitcoin (BTCUSD) | 15.8% | 53.5% | 0.47 | 2.3% |
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 FUSE | |
|---|---|---|---|---|
| FUSE | -23.8% | 135.6% | -0.32 | - |
| Sector ETF (XLK) | 24.0% | 24.8% | 0.88 | 10.8% |
| Equity (SPY) | 14.9% | 17.9% | 0.71 | 8.2% |
| Gold (GLD) | 11.4% | 16.1% | 0.58 | -9.5% |
| Commodities (DBC) | 6.9% | 18.0% | 0.30 | -11.1% |
| Real Estate (VNQ) | 5.2% | 20.7% | 0.21 | -5.9% |
| Bitcoin (BTCUSD) | 58.0% | 66.2% | 0.98 | 3.8% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Updated 6/3/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| SUMMARY STATS | |||
| # Positive | 0 | 0 | 0 |
| # Negative | 0 | 0 | 0 |
| Median Positive | |||
| Median Negative | |||
| Max Positive | |||
| Max Negative | |||
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| SUMMARY STATS | |||
| # Positive | 0 | 0 | 0 |
| # Negative | 0 | 0 | 0 |
| Median Positive | |||
| Median Negative | |||
| Max Positive | |||
| Max Negative | |||
Fusemachines — Investor Video Playlist
Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Application Software Resources |
| Capterra |
| Software Advice |
| InfoWorld |
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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