GSI Technology (GSIT)
Market Price (12/24/2025): $6.1 | Market Cap: $180.7 MilSector: Information Technology | Industry: Semiconductors
GSI Technology (GSIT)
Market Price (12/24/2025): $6.1Market Cap: $180.7 MilSector: Information TechnologyIndustry: Semiconductors
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 AI Chips, Data Centers & Infrastructure, and Edge AI. | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -12 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -49% |
| Stock price has recently run up significantly12M Rtn12 month market price return is 111% | |
| Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -8.7% | |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -33%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -33% | |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 83% | |
| 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 -11% | |
| High stock price volatilityVol 12M is 186% | |
| Key risksGSIT key risks include [1] financial instability and liquidity challenges stemming from ongoing net losses and [2] a heavy dependence on the uncertain commercial success and market adoption of its Gemini II APU. |
| Megatrend and thematic driversMegatrends include Artificial Intelligence. Themes include AI Chips, Data Centers & Infrastructure, and Edge AI. |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -12 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -49% |
| Stock price has recently run up significantly12M Rtn12 month market price return is 111% |
| Weak revenue growthRev Chg 3Y AvgRevenue Change % averaged over trailing 3 years is -8.7% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -33%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -33% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 83% |
| 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 -11% |
| High stock price volatilityVol 12M is 186% |
| Key risksGSIT key risks include [1] financial instability and liquidity challenges stemming from ongoing net losses and [2] a heavy dependence on the uncertain commercial success and market adoption of its Gemini II APU. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
The stock of GSI Technology (GSIT) experienced significant movement during the approximate period from August 31, 2025, to December 24, 2025, driven by several key factors: 1. 1. Validation and Performance of Gemini APU in AI. A Cornell-led paper, published around October 2025, demonstrated GSI Technology's Gemini Associative Processing Unit (APU) achieving GPU-class artificial intelligence performance at a fraction of the energy cost. This validation significantly enhanced the company's credibility in the AI and edge computing markets, leading to a substantial stock price surge. 2. 2. Increased Demand for AI-driven SRAM. GSI Technology benefited from a rising demand for AI-driven SRAM (Static Random-Access Memory), a crucial component for high-performance computing, contributing to its growth momentum. 3. Show moreStock Movement Drivers
Fundamental Drivers
The 53.0% change in GSIT stock from 9/23/2025 to 12/23/2025 was primarily driven by a 54.9% change in the company's P/S Multiple.| 9232025 | 12232025 | Change | |
|---|---|---|---|
| Stock Price ($) | 3.96 | 6.06 | 53.03% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 22.13 | 24.02 | 8.56% |
| P/S Multiple | 4.83 | 7.47 | 54.89% |
| Shares Outstanding (Mil) | 26.97 | 29.63 | -9.88% |
| Cumulative Contribution | 51.54% |
Market Drivers
9/23/2025 to 12/23/2025| Return | Correlation | |
|---|---|---|
| GSIT | 53.0% | |
| Market (SPY) | 3.7% | 24.5% |
| Sector (XLK) | 4.2% | 20.6% |
Fundamental Drivers
The 79.8% change in GSIT stock from 6/24/2025 to 12/23/2025 was primarily driven by a 77.7% change in the company's P/S Multiple.| 6242025 | 12232025 | Change | |
|---|---|---|---|
| Stock Price ($) | 3.37 | 6.06 | 79.82% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 20.52 | 24.02 | 17.09% |
| P/S Multiple | 4.21 | 7.47 | 77.74% |
| Shares Outstanding (Mil) | 25.60 | 29.63 | -15.73% |
| Cumulative Contribution | 75.37% |
Market Drivers
6/24/2025 to 12/23/2025| Return | Correlation | |
|---|---|---|
| GSIT | 79.8% | |
| Market (SPY) | 13.7% | 22.9% |
| Sector (XLK) | 18.2% | 20.4% |
Fundamental Drivers
The 111.1% change in GSIT stock from 12/23/2024 to 12/23/2025 was primarily driven by a 101.4% change in the company's P/S Multiple.| 12232024 | 12232025 | Change | |
|---|---|---|---|
| Stock Price ($) | 2.87 | 6.06 | 111.15% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 19.69 | 24.02 | 22.00% |
| P/S Multiple | 3.71 | 7.47 | 101.36% |
| Shares Outstanding (Mil) | 25.47 | 29.63 | -16.35% |
| Cumulative Contribution | 105.51% |
Market Drivers
12/23/2024 to 12/23/2025| Return | Correlation | |
|---|---|---|
| GSIT | 111.1% | |
| Market (SPY) | 16.7% | 20.7% |
| Sector (XLK) | 23.2% | 22.9% |
Fundamental Drivers
The 271.8% change in GSIT stock from 12/24/2022 to 12/23/2025 was primarily driven by a 547.2% change in the company's P/S Multiple.| 12242022 | 12232025 | Change | |
|---|---|---|---|
| Stock Price ($) | 1.63 | 6.06 | 271.78% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 34.66 | 24.02 | -30.68% |
| P/S Multiple | 1.15 | 7.47 | 547.22% |
| Shares Outstanding (Mil) | 24.55 | 29.63 | -20.67% |
| Cumulative Contribution | 255.89% |
Market Drivers
12/24/2023 to 12/23/2025| Return | Correlation | |
|---|---|---|
| GSIT | 122.0% | |
| Market (SPY) | 48.4% | 19.3% |
| Sector (XLK) | 53.8% | 19.7% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| GSIT Return | 4% | -37% | -63% | 53% | 15% | 98% | -15% |
| Peers Return | 47% | 72% | -50% | 119% | 13% | 94% | 507% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 17% | 114% |
Monthly Win Rates [3] | |||||||
| GSIT Win Rate | 58% | 33% | 25% | 33% | 58% | 50% | |
| Peers Win Rate | 57% | 52% | 37% | 63% | 52% | 58% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| GSIT Max Drawdown | -31% | -39% | -65% | -16% | -29% | -41% | |
| Peers Max Drawdown | -30% | -9% | -55% | -3% | -27% | -26% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: MRAM, MU, NVDA, INTC, AMD.
[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] 2025 data is for the year up to 12/23/2025 (YTD)
How Low Can It Go
| Event | GSIT | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -82.2% | -25.4% |
| % Gain to Breakeven | 460.3% | 34.1% |
| Time to Breakeven | 98 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -43.1% | -33.9% |
| % Gain to Breakeven | 75.8% | 51.3% |
| Time to Breakeven | 19 days | 148 days |
| 2018 Correction | ||
| % Loss | -49.6% | -19.8% |
| % Gain to Breakeven | 98.3% | 24.7% |
| Time to Breakeven | 2,495 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -64.0% | -56.8% |
| % Gain to Breakeven | 177.5% | 131.3% |
| Time to Breakeven | 408 days | 1,480 days |
Compare to QCOM, FSLR, SLAB, POWI, AMBQ
In The Past
GSI Technology's stock fell -82.2% during the 2022 Inflation Shock from a high on 1/7/2021. A -82.2% loss requires a 460.3% gain to breakeven.
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AI Analysis | Feedback
Here are 1-2 brief analogies for GSI Technology (GSIT):
- A niche Micron Technology for high-performance SRAM and CAM chips.
- A specialized NVIDIA for AI acceleration, focusing on ultra-fast search and pattern recognition.
AI Analysis | Feedback
- High-Performance SRAM: These are specialized static random-access memory chips providing very fast data access for demanding applications like networking, industrial, and medical systems.
- Radiation-Hardened SRAM: These specialized memory devices are designed to withstand harsh radiation environments, primarily used in aerospace and defense applications such as satellites.
- Gemini-I AI Processor: This is a dedicated artificial intelligence accelerator chip designed to speed up complex neural network computations for edge inference applications.
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GSI Technology (GSIT) Major Customers
GSI Technology (GSIT) operates primarily as a business-to-business (B2B) company, supplying high-performance memory products (SRAM) and specialized processors for artificial intelligence (APU) to other companies for integration into their products.
According to GSI Technology's annual reports (10-K filings), no single customer accounted for more than 10% of its net revenues in recent fiscal years (including fiscal years 2023, 2022, and 2021). This indicates that GSI Technology has a diversified customer base and does not rely on a few "major" customers for a significant portion of its revenue, and therefore does not disclose specific individual customer names as "major" customers.
While specific customer names are not disclosed due to this diversification, GSI Technology's products are sold to Original Equipment Manufacturers (OEMs) and Original Design Manufacturers (ODMs) across various industries. The primary categories of companies that purchase GSI Technology's products include:
- Networking and Telecommunications Companies: Manufacturers of networking infrastructure, telecommunications equipment, routers, and switches.
- Military and Aerospace Companies: Producers of defense systems, avionics, radar systems, and satellite communications equipment.
- Medical and Industrial Companies: Developers of medical imaging devices, diagnostic equipment, industrial automation systems, and control applications.
- Data Center, High-Performance Computing, and Artificial Intelligence (AI) Companies: Integrators and developers of servers, supercomputers, and AI acceleration platforms, leveraging GSI Technology's specialized processors.
- Automotive Companies: Primarily for advanced driver-assistance systems (ADAS) and in-vehicle computing applications.
These categories represent the broad range of companies that integrate GSI Technology's components into their end products.
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Lee-Lean Shu, President and Chief Executive Officer
Mr. Shu co-founded GSI Technology in March 1995 and has served as its President and Chief Executive Officer and as a member of its Board of Directors since its inception. He became Chairman of the Board in October 2000. Prior to co-founding GSI Technology, Mr. Shu was Director of SRAM Design at Sony Microelectronics Corporation from January 1995 to March 1995, and a design manager at the same company from July 1990 to January 1995. He also held various management positions in SRAM and DRAM designs at Sony Microelectronics Corp and AMD from July 1980 to March 1995.
Douglas Schirle, Chief Financial Officer and Corporate Secretary
Mr. Schirle has served as the Chief Financial Officer of GSI Technology since August 2000. Before this role, he was the Corporate Controller for GSI Technology from June 1999 to August 2000. His previous experience includes serving as the Corporate Controller at Pericom Semiconductor Corporation from March 1997 to June 1999, and as Vice President, Finance (November 1996 to February 1997) and Controller (December 1993 to October 1996) for Paradigm Technology. Mr. Schirle is a former certified public accountant.
Didier Lasserre, Vice President, Sales
Mr. Lasserre has held the position of Vice President, Sales since July 2002. From November 1997 to July 2002, he was GSI Technology's Director of Sales for the Western United States and Europe. Before joining GSI Technology, he was an account manager at Solectron Corporation from July 1996 to October 1997, and a field sales engineer at Cypress Semiconductor from June 1988 to July 1996.
Bor-Tay Wu, Vice President, Taiwan Operations
Mr. Wu has served as the Vice President, Taiwan Operations since January 1997. Prior to this, he was a design manager at Atalent, an IC design company in Taiwan, from January 1995 to December 1996.
Ping Wu, Vice President, U.S. Operations
Mr. Wu has served as Vice President, U.S. Operations since September 2006, a role he also held from February 2004 to April 2006. His career includes serving as Vice President of Operations at QPixel Technology from April 2006 to August 2006. He was also GSI Technology's Director of Operations from July 1999 to January 2004, and Vice President of Operations at Scan Vision from July 1997 to June 1999.
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The key risks to GSI Technology (GSIT) are:
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Financial Instability and Liquidity Challenges: GSI Technology has experienced ongoing net losses and a reduction in cash reserves, raising concerns about its liquidity. The company's financial flexibility is limited, and its future is significantly dependent on the commercial success of its Gemini II APU. Continued losses could necessitate further capital raises, potentially leading to shareholder dilution, or even result in financial distress.
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Product Concentration and Market Adoption Risk for Gemini II APU: GSI Technology has heavily invested its future in the Gemini II Associative Processing Unit (APU) for edge AI and satellite markets. The company faces significant risks related to software delays, achieving sufficient customer adoption, and ensuring the chip meets performance expectations to secure customer contracts. While recent independent validations show promising energy efficiency, widespread commercial success is not guaranteed.
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Intense Competition: GSI Technology operates in highly competitive markets, specifically edge AI and satellite, where it faces established industry giants such as Intel, AMD, and SpaceX. This intense competition can exert pressure on pricing, hinder market penetration, and demand continuous innovation and product differentiation to maintain a competitive edge.
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The accelerated development and market dominance of high-performance general-purpose AI accelerators, particularly graphics processing units (GPUs) from companies like NVIDIA and AMD, alongside the increasing sophistication and deployment of custom AI application-specific integrated circuits (ASICs) by hyperscale cloud providers (e.g., AWS Inferentia/Trainium, Google TPUs, Microsoft Maia/Athena), pose a clear emerging threat to GSI Technology. These solutions offer powerful and rapidly evolving alternatives for the AI inference workloads, including similarity search and vector processing, that GSI Technology's specialized Associative Processing Unit (APU) targets. The expansive ecosystems, continuous performance improvements, and deep integration into cloud platforms by these dominant players challenge GSIT's ability to gain significant market adoption for its niche hardware solution.AI Analysis | Feedback
GSI Technology (GSIT) addresses several markets with its main products and services:
-
Associative Processing Units (APUs):
- The drone AI processor market is projected to reach $2.7 billion by 2030, globally.
- The broader edge AI processor market is projected to reach $9.6 billion by 2030, globally.
-
Static Random-Access Memory (SRAM) Products:
- The global Static Random-Access Memory market was valued at USD 0.7 billion in 2023 and is expected to grow to USD 1.11 billion by 2032.
- Another estimate places the global Static Random Access Memory market size at USD 1.71 billion in 2025, forecast to reach USD 2.25 billion by 2030.
- The global Static Random Access Memory (SRAM) market is also projected to grow from USD 712.3 million in 2025 to USD 1,182.5 million by 2035.
-
Radiation-Hardened SRAMs:
- The global Radiation Hardened Static Random Access Memory (SRAM) market was valued at US$ 312 million in 2024 and is projected to reach US$ 520 million by 2031.
- The broader Radiation-Hardened Memory market was valued at $1.2 billion in 2024 and is projected to reach $2.3 billion by 2033, globally.
- Custom ASIC Solutions: Information regarding the specific addressable market size for GSI Technology's custom ASIC solutions is not available.
- IT/Technology Services: GSI Technology provides IT/Technology services to Department of Defense and Federal agencies in the United States. However, specific addressable market sizes for these services as offered by GSI Technology are not readily available.
AI Analysis | Feedback
GSI Technology (GSIT) is poised for future revenue growth over the next 2-3 years, driven by its strategic advancements in artificial intelligence (AI) processing units and continued demand for its specialized memory solutions. Key drivers include:
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Increased Adoption of Gemini-II APU in Edge AI and Defense Markets: GSI Technology's Gemini-II Associative Processing Unit (APU) is a significant driver, targeting high-growth edge AI markets such as drones, defense, robotics, and mobile platforms. The Gemini-II delivers GPU-class performance with substantially lower power consumption, making it ideal for power and size-constrained environments. The company has a defined edge strategy, with the drone market alone projected to reach $2.7 billion by 2030. Initial testing and delivery to an offshore defense contractor, along with prototyping approval for Synthetic Aperture Radar (SAR) applications in drones, signal growing market penetration.
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Launch and Commercialization of the Plato Chip for On-Device Large Language Models (LLMs): GSI Technology's roadmap includes the development of Plato, a next-generation APU specifically designed for even lower-power edge capabilities, targeting on-device Large Language Model (LLM) applications. This strategic pivot aims to capitalize on the burgeoning edge AI market for LLMs. Management anticipates a development timeline of 12 to 18 months, with funding pursuits underway.
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Sustained Demand for High-Performance SRAM Products in AI Sectors: Despite the strong focus on APUs, the company continues to see robust demand for its high-performance SRAM (Static Random-Access Memory) chips. This demand is fueled by strong market momentum, particularly from leading AI processors. GSI Technology anticipates continued order activity from its SRAM customers as inventory levels normalize across the industry.
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Expansion into New Geographical Markets for Radiation-Hardened Memory: GSI Technology's expansion into new geographical markets for its specialized radiation-hardened (Rad-Hard) memory products is another expected revenue driver. A significant milestone was the announced Rad-Hard shipment for a European Space Agency (ESA) mission, marking the company's first non-U.S.-based mission. This provides GSI Technology with increased exposure and potential for growth within the ESA community.
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Share Repurchases
- Through March 31, 2025, GSI Technology repurchased and retired a total of 12,004,779 shares under its repurchase program.
- The repurchase program authorizes the company to buy back shares on the open market or in private transactions, with specific timing and amounts subject to market conditions and other factors.
Share Issuance
- In October 2025, GSI Technology announced a registered direct offering for approximately $50 million, involving the sale of 1,508,462 shares of common stock at $10.00 per share and pre-funded warrants for 3,491,538 shares at $9.99 each.
- Net proceeds from the sale of common stock through an At-the-Market (ATM) offering amounted to $10.8 million during the three months ended June 30, 2025.
- As of July 31, 2025, GSI Technology had 29,090,626 shares of common stock outstanding.
Inbound Investments
- In October 2025, GSI Technology secured a $50 million equity raise from a single institutional investor, with the net proceeds intended for general corporate purposes, including the development of the Gemini APU product line.
- This $50 million equity raise at $10 per share is anticipated to provide the company with approximately $70 million in cash, extending its cash runway for about 7 years at current burn rates.
Capital Expenditures
- Capital expenditures were approximately $0.03 million for the three months ended June 30, 2025, and $0.05 million for the full fiscal year 2025.
- In the three months ended June 30, 2024, the company's investment activities primarily included the purchase of property and equipment totaling $32,000.
- A primary focus of capital allocation is the ongoing development of the Gemini APU product line, including Gemini-II and the launch of Plato.
Latest Trefis Analyses
| Title | Topic | |
|---|---|---|
| DASHBOARDS | ||
| GSI Technology Earnings Notes | ||
| GSI Technology Stock Drop Looks Sharp, But How Deep Can It Go? | Return |
| Title | |
|---|---|
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Trade Ideas
Select ideas related to GSIT. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11302025 | ENPH | Enphase Energy | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 11.7% | 11.7% | -0.9% |
| 11262025 | PD | PagerDuty | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 10.2% | 10.2% | 0.0% |
| 11212025 | CRM | Salesforce | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 16.2% | 16.2% | -0.1% |
| 11212025 | HUBS | HubSpot | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | 11.7% | 11.7% | 0.0% |
| 11212025 | FIVN | Five9 | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 4.2% | 4.2% | 0.0% |
Research & Analysis
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Peer Comparisons for GSI Technology
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 112.78 |
| Mkt Cap | 237.4 |
| Rev LTM | 37,170 |
| Op Inc LTM | 1,496 |
| FCF LTM | 2,328 |
| FCF 3Y Avg | 37 |
| CFO LTM | 7,491 |
| CFO 3Y Avg | 7,209 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 26.9% |
| Rev Chg 3Y Avg | 4.1% |
| Rev Chg Q | 38.6% |
| QoQ Delta Rev Chg LTM | 8.4% |
| Op Mgn LTM | 4.6% |
| Op Mgn 3Y Avg | -0.3% |
| QoQ Delta Op Mgn LTM | 4.0% |
| CFO/Rev LTM | 20.4% |
| CFO/Rev 3Y Avg | 19.7% |
| FCF/Rev LTM | 9.9% |
| FCF/Rev 3Y Avg | 1.9% |
Price Behavior
| Market Price | $6.06 | |
| Market Cap ($ Bil) | 0.2 | |
| First Trading Date | 03/29/2007 | |
| Distance from 52W High | -53.3% | |
| 50 Days | 200 Days | |
| DMA Price | $7.63 | $4.44 |
| DMA Trend | up | up |
| Distance from DMA | -20.6% | 36.4% |
| 3M | 1YR | |
| Volatility | 336.0% | 187.1% |
| Downside Capture | 389.55 | 233.03 |
| Upside Capture | 533.50 | 274.10 |
| Correlation (SPY) | 24.5% | 20.8% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 1.29 | 7.10 | 6.54 | 5.04 | 1.79 | 1.74 |
| Up Beta | -2.83 | 13.78 | 14.00 | 9.81 | 1.75 | 1.75 |
| Down Beta | 5.43 | 3.89 | 3.96 | 4.16 | 1.04 | 1.56 |
| Up Capture | -278% | 1054% | 1020% | 604% | 518% | 1254% |
| Bmk +ve Days | 12 | 25 | 38 | 73 | 141 | 426 |
| Stock +ve Days | 6 | 17 | 29 | 54 | 112 | 332 |
| Down Capture | 400% | 302% | 252% | 218% | 138% | 110% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 13 | 24 | 32 | 66 | 130 | 391 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of GSIT With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| GSIT | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 101.3% | 26.5% | 18.8% | 72.9% | 9.0% | 3.7% | -11.4% |
| Annualized Volatility | 186.3% | 27.6% | 19.5% | 19.2% | 15.3% | 17.2% | 35.0% |
| Sharpe Ratio | 0.95 | 0.83 | 0.76 | 2.72 | 0.36 | 0.05 | -0.14 |
| Correlation With Other Assets | 22.9% | 20.7% | 16.3% | 8.0% | 10.4% | 17.7% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
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Based On 5-Year Data
| Comparison of GSIT With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| GSIT | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -4.4% | 19.1% | 14.8% | 18.9% | 11.8% | 4.7% | 35.5% |
| Annualized Volatility | 146.5% | 24.7% | 17.1% | 15.5% | 18.7% | 18.9% | 48.9% |
| Sharpe Ratio | 0.42 | 0.70 | 0.70 | 0.98 | 0.51 | 0.16 | 0.62 |
| Correlation With Other Assets | 14.7% | 14.6% | 10.4% | 3.8% | 9.5% | 7.4% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of GSIT With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| GSIT | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 4.5% | 22.4% | 14.8% | 15.1% | 6.8% | 5.4% | 69.1% |
| Annualized Volatility | 108.6% | 24.2% | 18.0% | 14.8% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.38 | 0.85 | 0.71 | 0.85 | 0.31 | 0.23 | 0.90 |
| Correlation With Other Assets | 16.9% | 17.3% | 7.6% | 6.7% | 12.4% | 6.2% | |
ETFs used for asset classes: Sector ETF = XLK, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 10/30/2025 | -17.8% | -24.2% | -44.7% |
| 7/31/2025 | -13.8% | -23.9% | -32.4% |
| 5/1/2025 | 6.7% | 10.5% | 0.2% |
| 1/30/2025 | -4.1% | 7.9% | -8.9% |
| 10/24/2024 | -1.2% | -7.3% | -7.0% |
| 7/25/2024 | 0.4% | -6.3% | -7.0% |
| 5/2/2024 | -19.8% | -16.3% | -30.4% |
| 1/25/2024 | -14.9% | -5.4% | 21.3% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 6 | 6 | 10 |
| # Negative | 18 | 18 | 14 |
| Median Positive | 1.6% | 7.1% | 8.2% |
| Median Negative | -6.1% | -6.6% | -11.5% |
| Max Positive | 6.7% | 31.9% | 112.0% |
| Max Negative | -19.8% | -24.2% | -44.7% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 11072025 | 10-Q 9/30/2025 |
| 6302025 | 8082025 | 10-Q 6/30/2025 |
| 3312025 | 6182025 | 10-K 3/31/2025 |
| 12312024 | 2102025 | 10-Q 12/31/2024 |
| 9302024 | 11012024 | 10-Q 9/30/2024 |
| 6302024 | 8022024 | 10-Q 6/30/2024 |
| 3312024 | 6132024 | 10-K 3/31/2024 |
| 12312023 | 2022024 | 10-Q 12/31/2023 |
| 9302023 | 11082023 | 10-Q 9/30/2023 |
| 6302023 | 8082023 | 10-Q 6/30/2023 |
| 3312023 | 6282023 | 10-K 3/31/2023 |
| 12312022 | 2142023 | 10-Q 12/31/2022 |
| 9302022 | 11042022 | 10-Q 9/30/2022 |
| 6302022 | 8052022 | 10-Q 6/30/2022 |
| 3312022 | 6292022 | 10-K 3/31/2022 |
| 12312021 | 2042022 | 10-Q 12/31/2021 |
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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