Exascale Labs (XLAB)
Market Price (11/5/2026): $1.82 | Market Cap: $117.1 MilSector: Information Technology | Industry: Systems Software
Exascale Labs (XLAB)
Market Price (11/5/2026): $1.82Market Cap: $117.1 MilSector: Information TechnologyIndustry: Systems Software
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include Data Centers & Infrastructure, AI Chips, and AI Software Platforms. | Weak multi-year price returns2Y Excs Rtn is -93%, 3Y Excs Rtn is -145% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -4.8 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -34% High stock price volatilityVol 12M is 322% Key risksXLAB key risks include [1] its vulnerability to GPU supply constraints due to its asset-light model, Show more. |
| Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include Data Centers & Infrastructure, AI Chips, and AI Software Platforms. |
| Weak multi-year price returns2Y Excs Rtn is -93%, 3Y Excs Rtn is -145% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -4.8 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -34% |
| High stock price volatilityVol 12M is 322% |
| Key risksXLAB key risks include [1] its vulnerability to GPU supply constraints due to its asset-light model, Show more. |
Qualitative Assessment
AI Analysis | Feedback
Updated on 11/2/2026
Exascale Labs (XLAB) stock has lost about 65% since it went public on 8/28/2026 because of the following key factors:
1. Significant Share Overhang from Selling Securityholders Created Supply Pressure.
On October 30, 2026, Exascale Labs filed an S-1 registration statement for the resale of up to 12.35 million Class A Common Stock shares by existing securityholders, including the initial sponsor. This substantial number of shares, representing a significant portion of the company's total outstanding Class A Common Stock, when coupled with the approximate share price of $3.15 on October 29, 2026, indicated a potential sale value exceeding $38 million. The prospective influx of these shares into the market created considerable supply pressure and dilution concerns, which negatively impacted the stock price.
2. Persistent Net Losses and Limited Scale Raised Profitability Concerns.
Despite reporting a robust 111.3% revenue growth, reaching $14.8 million for fiscal year 2026, which ended on June 30, 2026, Exascale Labs also recorded a net loss of $12.2 million for the same period. As a micro-capitalization company with a market cap ranging from $134.45 million to $182.71 million, these ongoing losses raised concerns among investors about the company's long-term profitability and its ability to effectively scale operations and compete against larger, more established players in the AI infrastructure market.
Show more
Exascale Labs (XLAB) stock has lost about 65% since it went public on 8/28/2026 because of the following key factors:
1. Significant Share Overhang from Selling Securityholders Created Supply Pressure.
On October 30, 2026, Exascale Labs filed an S-1 registration statement for the resale of up to 12.35 million Class A Common Stock shares by existing securityholders, including the initial sponsor. This substantial number of shares, representing a significant portion of the company's total outstanding Class A Common Stock, when coupled with the approximate share price of $3.15 on October 29, 2026, indicated a potential sale value exceeding $38 million. The prospective influx of these shares into the market created considerable supply pressure and dilution concerns, which negatively impacted the stock price.
2. Persistent Net Losses and Limited Scale Raised Profitability Concerns.
Despite reporting a robust 111.3% revenue growth, reaching $14.8 million for fiscal year 2026, which ended on June 30, 2026, Exascale Labs also recorded a net loss of $12.2 million for the same period. As a micro-capitalization company with a market cap ranging from $134.45 million to $182.71 million, these ongoing losses raised concerns among investors about the company's long-term profitability and its ability to effectively scale operations and compete against larger, more established players in the AI infrastructure market.
Show more
Updated on 11/2/2026
Exascale Labs (XLAB) stock has lost about 65% since it went public on 8/28/2026 because of the following key factors:
1. Significant Share Overhang from Selling Securityholders Created Supply Pressure.
On October 30, 2026, Exascale Labs filed an S-1 registration statement for the resale of up to 12.35 million Class A Common Stock shares by existing securityholders, including the initial sponsor. This substantial number of shares, representing a significant portion of the company's total outstanding Class A Common Stock, when coupled with the approximate share price of $3.15 on October 29, 2026, indicated a potential sale value exceeding $38 million. The prospective influx of these shares into the market created considerable supply pressure and dilution concerns, which negatively impacted the stock price.
2. Persistent Net Losses and Limited Scale Raised Profitability Concerns.
Despite reporting a robust 111.3% revenue growth, reaching $14.8 million for fiscal year 2026, which ended on June 30, 2026, Exascale Labs also recorded a net loss of $12.2 million for the same period. As a micro-capitalization company with a market cap ranging from $134.45 million to $182.71 million, these ongoing losses raised concerns among investors about the company's long-term profitability and its ability to effectively scale operations and compete against larger, more established players in the AI infrastructure market.
3. Post-SPAC Merger Volatility and Constrained Cash Position.
Exascale Labs went public through a Special Purpose Acquisition Company (SPAC) merger, a mechanism frequently associated with heightened post-combination stock volatility. The stock experienced extreme daily price swings, including a notable 73% single-day gain on October 22, 2026, followed by a 29% pullback, underscoring its speculative and momentum-driven trading nature. Although the company secured approximately $11.8 million in net cash proceeds from the business combination in August 2026, its cash balance was only $2.7 million as of fiscal year 2026 end on June 30, 2026, indicating a relatively constrained financial position for a growth company requiring significant investment.
4. Broader Macroeconomic Headwinds for Growth and Technology Stocks.
The period since August 2026 has been characterized by significant macroeconomic challenges, including rising long-term interest rates and persistent concerns about sticky inflation and elevated fiscal deficits. This environment has generally created headwinds for growth and technology stocks like Exascale Labs, as higher interest rates increase the cost of capital and reduce the present value of future earnings, making unprofitable or early-stage companies less attractive to investors.
Show less
Exascale Labs (XLAB) stock has lost about 65% since it went public on 8/28/2026 because of the following key factors:
1. Significant Share Overhang from Selling Securityholders Created Supply Pressure.
On October 30, 2026, Exascale Labs filed an S-1 registration statement for the resale of up to 12.35 million Class A Common Stock shares by existing securityholders, including the initial sponsor. This substantial number of shares, representing a significant portion of the company's total outstanding Class A Common Stock, when coupled with the approximate share price of $3.15 on October 29, 2026, indicated a potential sale value exceeding $38 million. The prospective influx of these shares into the market created considerable supply pressure and dilution concerns, which negatively impacted the stock price.
2. Persistent Net Losses and Limited Scale Raised Profitability Concerns.
Despite reporting a robust 111.3% revenue growth, reaching $14.8 million for fiscal year 2026, which ended on June 30, 2026, Exascale Labs also recorded a net loss of $12.2 million for the same period. As a micro-capitalization company with a market cap ranging from $134.45 million to $182.71 million, these ongoing losses raised concerns among investors about the company's long-term profitability and its ability to effectively scale operations and compete against larger, more established players in the AI infrastructure market.
3. Post-SPAC Merger Volatility and Constrained Cash Position.
Exascale Labs went public through a Special Purpose Acquisition Company (SPAC) merger, a mechanism frequently associated with heightened post-combination stock volatility. The stock experienced extreme daily price swings, including a notable 73% single-day gain on October 22, 2026, followed by a 29% pullback, underscoring its speculative and momentum-driven trading nature. Although the company secured approximately $11.8 million in net cash proceeds from the business combination in August 2026, its cash balance was only $2.7 million as of fiscal year 2026 end on June 30, 2026, indicating a relatively constrained financial position for a growth company requiring significant investment.
4. Broader Macroeconomic Headwinds for Growth and Technology Stocks.
The period since August 2026 has been characterized by significant macroeconomic challenges, including rising long-term interest rates and persistent concerns about sticky inflation and elevated fiscal deficits. This environment has generally created headwinds for growth and technology stocks like Exascale Labs, as higher interest rates increase the cost of capital and reduce the present value of future earnings, making unprofitable or early-stage companies less attractive to investors.
Show less
Holding a concentrated position? Know your true downside before the momentum shifts.
Protect Your Wealth →
Stock Movement Drivers
Fundamental Drivers
nullnull
Market Drivers
7/31/2026 to 11/4/2026| Return | Correlation | |
|---|---|---|
| XLAB | ||
| Market (SPY) | 2.6% | -16.8% |
| Sector (XLK) | 0.7% | -24.7% |
Fundamental Drivers
nullnull
Market Drivers
4/30/2026 to 11/4/2026| Return | Correlation | |
|---|---|---|
| XLAB | ||
| Market (SPY) | 7.0% | -16.8% |
| Sector (XLK) | 10.8% | -24.7% |
Fundamental Drivers
nullnull
Market Drivers
10/31/2025 to 11/4/2026| Return | Correlation | |
|---|---|---|
| XLAB | ||
| Market (SPY) | 13.4% | -16.8% |
| Sector (XLK) | 17.9% | -24.7% |
Fundamental Drivers
nullnull
Market Drivers
10/31/2023 to 11/4/2026| Return | Correlation | |
|---|---|---|
| XLAB | ||
| Market (SPY) | 89.7% | -16.8% |
| Sector (XLK) | 119.1% | -24.7% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| XLAB Return | - | - | - | - | - | -63% | -63% |
| Peers Return | 2977% | -14% | 201% | 48% | 66% | -3% | 18938% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 11% | 102% |
Monthly Win Rates [3] | |||||||
| XLAB Win Rate | - | - | - | - | - | 25% | |
| Peers Win Rate | 67% | 46% | 67% | 56% | 50% | 44% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 36% | |
Max Drawdowns [4] | |||||||
| XLAB Max Drawdown | - | - | - | - | - | - | |
| Peers Max Drawdown | -30% | -57% | -37% | -51% | -51% | -50% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: CRWV, APLD, SMCI, VRT, DLR.
[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 11/4/2026 (YTD)
How Low Can It Go
XLAB has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2024 Yen Carry Trade Unwind | ||
| % Loss | -17.0% | -7.8% |
| % Gain to Breakeven | 20.4% | 8.5% |
| Time to Breakeven | 92 days | 18 days |
| Summer-Fall 2023 Five Percent Yield Shock | ||
| % Loss | -10.0% | -9.5% |
| % Gain to Breakeven | 11.2% | 10.5% |
| Time to Breakeven | 15 days | 24 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
XLAB has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -25.7% | -18.8% |
| % Gain to Breakeven | 34.5% | 23.1% |
| Time to Breakeven | 65 days | 79 days |
| 2022 Inflation Shock & Fed Tightening | ||
| % Loss | -33.1% | -24.5% |
| % Gain to Breakeven | 49.5% | 32.4% |
| Time to Breakeven | 246 days | 427 days |
| 2020 COVID-19 Crash | ||
| % Loss | -31.2% | -33.7% |
| % Gain to Breakeven | 45.2% | 50.9% |
| Time to Breakeven | 78 days | 140 days |
| Q4 2018 Fed Policy Error / Growth Scare | ||
| % Loss | -23.8% | -19.2% |
| % Gain to Breakeven | 31.2% | 23.8% |
| Time to Breakeven | 100 days | 105 days |
| 2008-2009 Global Financial Crisis | ||
| % Loss | -51.5% | -53.4% |
| % Gain to Breakeven | 106.2% | 114.4% |
| Time to Breakeven | 797 days | 1085 days |
In The Past
State Street Technology Select Sector SPDR ETF's stock fell -25.7% during the 2025 US Tariff Shock. Such a loss loss requires a 34.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
About Exascale Labs (XLAB)
AI Analysis | Feedback
null
AI Analysis | Feedback
null
AI Analysis | Feedback
null
AI Analysis | Feedback
null
AI Analysis | Feedback
Hoansoo Lee CEO & CFO
Hoansoo Lee holds a Ph.D. in Business Economics from Harvard Business School and previously served at the Council of Economic Advisers (Executive Office of the President) at The White House.
Zachary Bright Research & Development Lead
Zachary Bright has a Ph.D. in Computer Science and was a Visiting Scholar at Princeton University, with prior experience at Ericsson.
Septem Yang Principal Architect
Septem Yang earned an M.Eng. in Electronic Engineering from Dublin City University and previously worked at Microsoft and Snap.
Xander Wu Data Center Partnerships Lead
Xander Wu holds an M.S. in Communication and Information Systems and an M.S. in Management from Stanford, and was formerly with Bitmain.
Mark Fidelman Head of Marketing
Mark Fidelman has a B.A. in Economics from the University of San Francisco and has previous experience with Forbes, EDS (acquired by Hewlett-Packard), and A. T. Kearney.
AI Analysis | Feedback
For Exascale Labs (XLAB), a next-generation AI infrastructure provider offering GPU-as-a-Service and related solutions with an asset-light model, the key risks to the business include:
-
GPU Supply Constraints and Infrastructure Availability
Exascale Labs' core business relies on procuring high-performance GPU compute capacity from third-party data centers. The global supply chain for GPUs and related infrastructure components faces significant structural challenges, including manufacturing bottlenecks, particularly in advanced packaging like CoWoS technology, and a severe shortage of High-Bandwidth Memory (HBM). This situation is exacerbated by massive capital expenditures from larger hyperscalers that are consuming a substantial portion of available GPU supply, leading to extended lead times (e.g., 36 to 52 weeks for data center GPUs) and increased competition for essential hardware. These supply limitations could directly hinder Exascale Labs' ability to scale its services and meet customer demand. -
Intense Competition and Execution Risk
The AI infrastructure market is characterized by rapid technological advancement and the dominance of much larger, well-established competitors, including major cloud providers and tech giants who are increasingly investing heavily in their own "asset-heavy" AI infrastructure. Exascale Labs must effectively execute its strategy, maintain consistent access to GPU capacity, and deliver reliable, scalable services to compete against these powerful rivals. The challenge lies in distinguishing its offerings and gaining customer trust in a highly competitive and evolving landscape. -
Customer Acquisition, Retention, and Commercialization Risk
While Exascale Labs has reported an "approximately $300 million qualified customer pipeline," there is an inherent risk that these prospective customer opportunities may not convert into contracted, recurring revenue. The company is relatively new to the public market (having listed in August 2026), and demonstrating consistent conversion of its pipeline into revenue is crucial for its financial performance and investor confidence. Additionally, a significant portion of its broader platform offerings may still be in pre-commercial stages, adding uncertainty to future revenue generation.
AI Analysis | Feedback
null
AI Analysis | Feedback
Addressable Markets for Exascale Labs (XLAB) Products and Services
Exascale Labs (NASDAQ: XLAB) operates in the rapidly expanding sectors of AI infrastructure, GPU-as-a-Service (GaaS), and AI-ready data center solutions. The company's main offerings include GPU cloud infrastructure, scalable GPU compute deployments, system integration, GPU procurement and leasing, and full-stack orchestration. The addressable markets for these services are substantial and exhibit strong global growth trajectories. The global market for **GPU-as-a-Service (GaaS)** was valued between USD 4.96 billion and USD 8.60 billion in 2025. Projections indicate significant expansion, with forecasts ranging from USD 26.09 billion by 2031 to USD 162.54 billion by 2034 and even up to USD 106.04 billion by 2035. The compound annual growth rate (CAGR) for this market is anticipated to be between 22.29% and 44.3% during the forecast periods. For the broader **AI Infrastructure Market**, which encompasses the hardware, software, and networking resources essential for AI and machine learning applications, the global market size was estimated to be between USD 58.78 billion and USD 72.02 billion in 2025. This market is projected to reach between USD 223.5 billion by 2030 and USD 518.26 billion by 2035, with a CAGR ranging from 21.5% to 30.4% over various forecast periods. The **AI Data Center Market**, vital for supporting high-performance computing and AI workloads, was valued between USD 39.49 billion and USD 147.3 billion in 2025. It is expected to grow to between USD 152.91 billion by 2031 and USD 810.6 billion by 2033. Some projections suggest that global data center investment fueled by AI could reach as much as USD 7 trillion by 2030. The CAGR for this market is estimated to be between 23.9% and 28.6%.AI Analysis | Feedback
Expected Drivers of Future Revenue Growth for Exascale Labs (XLAB)
- Expansion of Global Footprint and Investment in Proprietary Technology: Exascale Labs is positioned to expand its global presence and further invest in its proprietary hardware and software solutions. This strategic move aims to enhance its offerings and reach a broader market.
- Growth in the AI Infrastructure Market: The significant projected growth of the AI infrastructure market, expected to reach $394 billion by 2030 from $182 billion in 2025, will fuel demand for Exascale Labs' core business of designing, deploying, and operating GPU clusters and AI-ready data centers.
- Conversion of a Strong Qualified Sales Pipeline: The company has a reported "over $300 million qualified pipeline," indicating a substantial and identified potential for near-term revenue generation from existing opportunities.
- Increased Adoption of GPU-as-a-Service (GaaS) and AI Data Center Optimization: Exascale Labs' primary business revolves around providing GPU-as-a-Service (GaaS), offering both reserved and on-demand access to GPU compute capacity. Additionally, its GPU cluster management and optimization services for AI data center operators are expected to see increased demand across academia, enterprise, and AI-native platforms, driving future revenue growth.
AI Analysis | Feedback
Share Repurchases
- Exascale Labs Holdings reported a 5-Year Share Buyback Ratio of 0.00% as of March 2026 and August 2026, indicating no share repurchases over the past five years.
Share Issuance
- The company's annual additional paid-in capital increased from $0.00 million in 2020 to $0.07 million by June 2024, and further to $0.22 million by June 2025.
- Exascale Labs Holdings Inc. completed a business combination with D. Boral ARC Acquisition I Corp., beginning to trade on Nasdaq under the symbol "XLAB" on August 28, 2026.
- The listing following the business combination valued the company at $500 million.
Inbound Investments
- The business combination with D. Boral ARC Acquisition I Corp. resulted in Exascale Labs having approximately $12 million in cash after shareholder redemptions, effective with its Nasdaq listing on August 28, 2026.
- Prior to its public listing, Exascale Labs raised an undisclosed amount of funding across 23 grant rounds.
Outbound Investments
- Exascale Labs Holdings reported a "Sale Of Investment" of $0.00 million for the trailing twelve months ended March 2026.
Capital Expenditures
- Exascale Labs operates as an AI infrastructure provider, engaged in designing, building, and operating GPU-accelerated data center infrastructure and cloud platforms.
- The core business includes GPU-as-a-Service (GaaS), providing access to high-performance GPU compute capacity and GPU cluster management services for AI data center operators.
- Management plans to expand into larger infrastructure projects, anticipating higher revenue and margins from these initiatives.
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 37.37 |
| Mkt Cap | 25.5 |
| Rev LTM | 7,343 |
| Op Inc LTM | 673 |
| FCF LTM | -4,455 |
| FCF 3Y Avg | -21 |
| CFO LTM | 2,696 |
| CFO 3Y Avg | 1,083 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 77.8% |
| Rev Chg 3Y Avg | 52.0% |
| Rev Chg Q | 102.8% |
| QoQ Delta Rev Chg LTM | 18.2% |
| Op Inc Chg LTM | 52.7% |
| Op Inc Chg 3Y Avg | 38.4% |
| Op Mgn LTM | 2.0% |
| Op Mgn 3Y Avg | 11.4% |
| QoQ Delta Op Mgn LTM | 0.9% |
| CFO/Rev LTM | 27.9% |
| CFO/Rev 3Y Avg | 5.7% |
| FCF/Rev LTM | -17.8% |
| FCF/Rev 3Y Avg | 4.0% |
Price Behavior
Price Behavior
| Market Price | $1.90 | |
| First Trading Date | 08/28/2026 | |
| Distance from 52W High | -63.0% | |
| 50 Days | 200 Days | |
| DMA Price | ||
| DMA Trend | ||
| Distance from DMA | ||
| 3M | 1YR | |
| Volatility | 322.1% | 322.1% |
| Downside Capture | ||
| Upside Capture | ||
| Correlation (S&P 500) |
XLAB Betas & Captures as of 10/31/2026
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | -12.13 | -5.50 | 1.63 | -2.87 | 3.18 | -1.82 |
| Up Beta | -27.67 | -5.43 | 14.32 | -9.61 | -1.37 | 2.54 |
| Down Beta | -22.36 | -22.23 | 4.48 | -0.18 | 13.44 | 7.02 |
| Up Capture | -141% | -109% | -68% | -26% | -10% | -1% |
| Bmk +ve Days | 12 | 18 | 28 | 62 | 130 | 427 |
| Stock +ve Days | 7 | 13 | 13 | 13 | 13 | 13 |
| Down Capture | -1031% | 179% | 237% | 122% | 71% | 41% |
| Bmk -ve Days | 10 | 25 | 36 | 64 | 121 | 325 |
| Stock -ve Days | 14 | 29 | 30 | 30 | 30 | 30 |
[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 XLAB | |
|---|---|---|---|---|
| XLAB | -63.2% | 322.1% | -0.38 | - |
| Sector ETF (XLK) | 17.5% | 27.3% | 0.56 | -24.7% |
| Equity (SPY) | 13.2% | 12.9% | 0.68 | -16.8% |
| Gold (GLD) | 1.0% | 28.8% | 0.03 | -9.0% |
| Commodities (DBC) | 35.9% | 21.2% | 1.34 | 12.9% |
| Real Estate (VNQ) | 14.3% | 14.1% | 0.70 | 13.7% |
| Bitcoin (BTCUSD) | -28.2% | 43.4% | -0.65 | -8.7% |
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 XLAB | |
|---|---|---|---|---|
| XLAB | -18.1% | 322.1% | -0.38 | - |
| Sector ETF (XLK) | 18.1% | 26.2% | 0.62 | -24.7% |
| Equity (SPY) | 12.5% | 17.2% | 0.55 | -16.8% |
| Gold (GLD) | 17.3% | 19.1% | 0.73 | -9.0% |
| Commodities (DBC) | 8.0% | 19.6% | 0.29 | 12.9% |
| Real Estate (VNQ) | 1.8% | 18.9% | -0.01 | 13.7% |
| Bitcoin (BTCUSD) | 5.5% | 51.5% | 0.29 | -8.7% |
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 XLAB | |
|---|---|---|---|---|
| XLAB | -9.5% | 322.1% | -0.38 | - |
| Sector ETF (XLK) | 23.4% | 25.2% | 0.85 | -24.7% |
| Equity (SPY) | 15.4% | 18.0% | 0.73 | -16.8% |
| Gold (GLD) | 11.9% | 16.5% | 0.59 | -9.0% |
| Commodities (DBC) | 7.4% | 18.1% | 0.33 | 12.9% |
| Real Estate (VNQ) | 5.7% | 20.7% | 0.23 | 13.7% |
| Bitcoin (BTCUSD) | 61.0% | 66.2% | 1.01 | -8.7% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Updated 10/29/2026| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 9/28/2026 | -1.2% | -42.4% | 39.5% |
| SUMMARY STATS | |||
| # Positive | 0 | 0 | 1 |
| # Negative | 1 | 1 | 0 |
| Median Positive | 39.5% | ||
| Median Negative | -1.2% | -42.4% | |
| Max Positive | 39.5% | ||
| Max Negative | -1.2% | -42.4% | |
| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 9/28/2026 | -1.2% | -42.4% | 39.5% |
| SUMMARY STATS | |||
| # Positive | 0 | 0 | 1 |
| # Negative | 1 | 1 | 0 |
| Median Positive | 39.5% | ||
| Median Negative | -1.2% | -42.4% | |
| Max Positive | 39.5% | ||
| Max Negative | -1.2% | -42.4% | |
Industry Resources
| Information Technology Resources |
| TechCrunch |
| Wired |
| CIO |
| MIT Technology Review |
| Gartner Insights |
| Ars Technica |
| Systems Software Resources |
| CNET |
| ZDNet |
| Gartner |
| Software Development Times |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
Prefer one of these to Trefis? Tell us why.
Core Cache Last Updated: 11/4/2026