Confluent (CFLT)
Market Price (3/17/2026): $30.99 | Market Cap: $12.5 BilSector: Information Technology | Industry: Systems Software
Confluent (CFLT)
Market Price (3/17/2026): $30.99Market Cap: $12.5 BilSector: 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 Cloud Computing, Fintech & Digital Payments, and Artificial Intelligence. Themes include Software as a Service (SaaS), Show more. | Trading close to highsDist 52W High is 0.0% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -380 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -33% |
| Weak multi-year price returns2Y Excs Rtn is -33%, 3Y Excs Rtn is -37% | Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 194x | |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 34% | ||
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 74% | ||
| 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 -6.4% | ||
| Key risksCFLT key risks include [1] an uncertain path to sustainable profitability due to significant ongoing losses and heavy spending, Show more. |
| Megatrend and thematic driversMegatrends include Cloud Computing, Fintech & Digital Payments, and Artificial Intelligence. Themes include Software as a Service (SaaS), Show more. |
| Trading close to highsDist 52W High is 0.0% |
| Weak multi-year price returns2Y Excs Rtn is -33%, 3Y Excs Rtn is -37% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -380 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -33% |
| Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 194x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 34% |
| Valuation getting more expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is 74% |
| 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 -6.4% |
| Key risksCFLT key risks include [1] an uncertain path to sustainable profitability due to significant ongoing losses and heavy spending, Show more. |
Qualitative Assessment
AI Analysis | Feedback
Confluent (CFLT) stock has gained about 40% since 11/30/2025 because of the following key factors:
1. IBM's acquisition offer significantly boosted stock value.
On December 8, 2025, IBM announced a definitive agreement to acquire Confluent for $31.00 per share in cash, an enterprise value of $11 billion. This news directly caused a surge in Confluent's stock price.
2. Strong Q4 2025 earnings surpassed analyst expectations.
Confluent reported robust financial results for Q4 2025 on February 11, 2026. The company exceeded analyst estimates with non-GAAP earnings per share (EPS) of $0.12, compared to an expected $0.10, and revenue reached $314.8 million, surpassing the consensus estimate of $308.03 million. This represented a 20.5% year-over-year increase in total revenue, with Confluent Cloud revenue growing 23% year-over-year.
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1. IBM's acquisition offer significantly boosted stock value.
On December 8, 2025, IBM announced a definitive agreement to acquire Confluent for $31.00 per share in cash, an enterprise value of $11 billion. This news directly caused a surge in Confluent's stock price.
2. Strong Q4 2025 earnings surpassed analyst expectations.
Confluent reported robust financial results for Q4 2025 on February 11, 2026. The company exceeded analyst estimates with non-GAAP earnings per share (EPS) of $0.12, compared to an expected $0.10, and revenue reached $314.8 million, surpassing the consensus estimate of $308.03 million. This represented a 20.5% year-over-year increase in total revenue, with Confluent Cloud revenue growing 23% year-over-year.
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Stock Movement Drivers
Fundamental Drivers
The 39.3% change in CFLT stock from 11/30/2025 to 3/16/2026 was primarily driven by a 54.4% change in the company's P/S Multiple.| (LTM values as of) | 11302025 | 3162026 | Change |
|---|---|---|---|
| Stock Price ($) | 22.25 | 30.99 | 39.3% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1,113 | 1,167 | 4.8% |
| P/S Multiple | 6.9 | 10.7 | 54.4% |
| Shares Outstanding (Mil) | 346 | 402 | -13.9% |
| Cumulative Contribution | 39.3% |
Market Drivers
11/30/2025 to 3/16/2026| Return | Correlation | |
|---|---|---|
| CFLT | 39.3% | |
| Market (SPY) | -2.1% | -1.7% |
| Sector (XLK) | -3.0% | 9.3% |
Fundamental Drivers
The 56.0% change in CFLT stock from 8/31/2025 to 3/16/2026 was primarily driven by a 67.9% change in the company's P/S Multiple.| (LTM values as of) | 8312025 | 3162026 | Change |
|---|---|---|---|
| Stock Price ($) | 19.86 | 30.99 | 56.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1,065 | 1,167 | 9.6% |
| P/S Multiple | 6.4 | 10.7 | 67.9% |
| Shares Outstanding (Mil) | 341 | 402 | -15.2% |
| Cumulative Contribution | 56.0% |
Market Drivers
8/31/2025 to 3/16/2026| Return | Correlation | |
|---|---|---|
| CFLT | 56.0% | |
| Market (SPY) | 4.0% | 16.0% |
| Sector (XLK) | 5.9% | 25.1% |
Fundamental Drivers
The -2.4% change in CFLT stock from 2/28/2025 to 3/16/2026 was primarily driven by a -34.3% change in the company's Shares Outstanding (Mil).| (LTM values as of) | 2282025 | 3162026 | Change |
|---|---|---|---|
| Stock Price ($) | 31.74 | 30.99 | -2.4% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 964 | 1,167 | 21.1% |
| P/S Multiple | 8.7 | 10.7 | 22.8% |
| Shares Outstanding (Mil) | 264 | 402 | -34.3% |
| Cumulative Contribution | -2.4% |
Market Drivers
2/28/2025 to 3/16/2026| Return | Correlation | |
|---|---|---|
| CFLT | -2.4% | |
| Market (SPY) | 13.6% | 43.6% |
| Sector (XLK) | 23.6% | 46.4% |
Fundamental Drivers
The 27.1% change in CFLT stock from 2/28/2023 to 3/16/2026 was primarily driven by a 99.1% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 2282023 | 3162026 | Change |
|---|---|---|---|
| Stock Price ($) | 24.39 | 30.99 | 27.1% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 586 | 1,167 | 99.1% |
| P/S Multiple | 11.9 | 10.7 | -10.5% |
| Shares Outstanding (Mil) | 287 | 402 | -28.7% |
| Cumulative Contribution | 27.1% |
Market Drivers
2/28/2023 to 3/16/2026| Return | Correlation | |
|---|---|---|
| CFLT | 27.1% | |
| Market (SPY) | 75.1% | 35.1% |
| Sector (XLK) | 107.5% | 36.8% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| CFLT Return | 69% | -71% | 5% | 19% | 8% | 1% | -32% |
| Peers Return | 44% | -47% | 60% | 18% | 25% | -12% | 60% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | -3% | 77% |
Monthly Win Rates [3] | |||||||
| CFLT Win Rate | 71% | 33% | 42% | 33% | 58% | 67% | |
| Peers Win Rate | 67% | 27% | 65% | 53% | 52% | 33% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 33% | |
Max Drawdowns [4] | |||||||
| CFLT Max Drawdown | -13% | -77% | -27% | -20% | -43% | -0% | |
| Peers Max Drawdown | -15% | -52% | -8% | -14% | -23% | -18% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -3% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: AMZN, MSFT, GOOGL, SNOW, DDOG.
[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 3/16/2026 (YTD)
How Low Can It Go
| Event | CFLT | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -82.6% | -25.4% |
| % Gain to Breakeven | 474.9% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
Compare to AMZN, MSFT, GOOGL, SNOW, DDOG
In The Past
Confluent's stock fell -82.6% during the 2022 Inflation Shock from a high on 11/5/2021. A -82.6% loss requires a 474.9% gain to breakeven.
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About Confluent (CFLT)
Confluent, Inc. operates a data streaming platform in the United States and internationally. It offers Confluent Cloud, a managed cloud-native service for connecting and processing data; and Confluent Platform, an enterprise-grade self-managed software that connects and processes data in real-time with the foundational platform for data in motion. It also provides Kafka Connect that enables to build connectors to integrate Apache Kafka with other apps and data systems; ksqlDB, a database for stream processing applications; and stream governance, a solution that is designed for the intricacies of streaming data, which allows teams to expand usage of real-time data without bypassing requirements for risk management and regulatory compliance. In addition, it also offers training and professional services. The company was formerly known as Infinitem, Inc. and changed its name to Confluent, Inc. in September 2014. Confluent, Inc. was incorporated in 2014 and is headquartered in Mountain View, California.
AI Analysis | Feedback
Here are a few brief analogies for Confluent:
- Snowflake for data in motion. (Snowflake is for data at rest in a warehouse; Confluent is for data moving in real-time.)
- AWS for real-time data pipelines. (Confluent provides managed cloud infrastructure specifically for real-time data streams, similar to how AWS provides many specialized cloud services.)
- Twilio for data streams. (Twilio provides APIs for real-time communication like messages; Confluent provides a platform for real-time data flows.)
AI Analysis | Feedback
```html- Confluent Cloud: A managed cloud-native service for connecting and processing data.
- Confluent Platform: An enterprise-grade self-managed software for real-time data connection and processing.
- Kafka Connect: A tool enabling users to build connectors for integrating Apache Kafka with other applications and data systems.
- ksqlDB: A database specifically designed for stream processing applications.
- Stream Governance: A solution for managing risk and regulatory compliance for streaming data usage.
- Training and Professional Services: Services offering training and professional support for Confluent's platforms and technologies.
AI Analysis | Feedback
Confluent (CFLT) sells its data streaming platform, cloud services, and enterprise software primarily to other companies. Its major customers include businesses across various industries that leverage real-time data for operations, analytics, and customer experience. Some notable customer companies are:
- Nordstrom (JWN)
- Humana (HUM)
- Capital One (COF)
- Intel (INTC)
AI Analysis | Feedback
Major Suppliers:
- Amazon.com, Inc. (AMZN)
- Microsoft Corporation (MSFT)
- Alphabet Inc. (GOOGL)
AI Analysis | Feedback
Jay Kreps, CEO & Co-founder
Jay Kreps is the CEO and a co-founder of Confluent. He was previously the lead architect for data and infrastructure at LinkedIn and is recognized as the original author and co-creator of Apache Kafka, an open-source streaming platform. Confluent was founded in 2014 to commercialize Apache Kafka, which he developed while at LinkedIn.
Rohan Sivaram, Chief Financial Officer
Rohan Sivaram serves as the Chief Financial Officer of Confluent. Public records indicate his current role and stock transactions within Confluent.
Erica Schultz, President, Field Operations
Erica Schultz is the President of Field Operations at Confluent, a role she joined in 2019. Prior to Confluent, she served as Chief Revenue Officer at New Relic, where she played a significant role in scaling the company's revenues. She also spent nearly 17 years at Oracle, where she was instrumental in pioneering the company's cloud go-to-market strategy.
Jun Rao, Co-founder
Jun Rao is a co-founder of Confluent and an original co-creator of Apache Kafka®. He, along with Jay Kreps and Neha Narkhede, founded Confluent in 2014 after developing Apache Kafka at LinkedIn.
Stephanie Buscemi, Chief Marketing Officer
Stephanie Buscemi is the Chief Marketing Officer at Confluent.
AI Analysis | Feedback
The key risks to Confluent's business (CFLT) include:
- Intense Competition and the Open-Source Nature of Apache Kafka: Confluent faces significant competition from both open-source alternatives, particularly self-managed Apache Kafka, and large cloud service providers such as Amazon Web Services (AWS), Microsoft, and Google, which offer their own managed streaming services. This competitive landscape challenges Confluent's ability to differentiate its offerings and justify premium pricing, as customers may opt for self-managed solutions or competing services from well-resourced hyperscalers. The risk of losing high-value customers who decide to manage their own Apache Kafka has been observed, leading to potential revenue fluctuations and customer churn.
- Path to Sustainable Profitability: Confluent has reported significant GAAP operating and net losses, indicating it is in a high-growth, high-spend phase. While the company shows strong operating leverage and aims for non-GAAP operating margin improvement, achieving consistent sustainable GAAP profitability remains a core financial risk. High stock compensation is also noted as a factor making it challenging to achieve profitability.
- Macroeconomic Uncertainties and Customer Spending Scrutiny: External factors such as inflation, geopolitical events, and recessionary environments can lead to longer sales cycles, reduced IT budgets, and a slowdown in customer consumption expansion. As businesses become more price-sensitive and scrutinize their technology spending, Confluent's revenue growth and ability to acquire new customers or expand usage among existing ones can be negatively impacted.
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The intensifying competition from major hyperscale cloud providers (such as Amazon Web Services, Microsoft Azure, and Google Cloud Platform) offering their own deeply integrated and highly optimized managed Kafka and data streaming services represents a clear emerging threat. These cloud providers have inherent advantages due to their control over the underlying infrastructure, ability to bundle services, and existing customer relationships, which can lead to seamless integration, competitive pricing, and a preference for native services among their users. As these hyperscalers continue to enhance their offerings with advanced features, including aspects of stream governance, connectors, and processing capabilities that Confluent differentiates on, they could increasingly capture new market share and pressure Confluent's growth and pricing power, especially within cloud-native deployments.
AI Analysis | Feedback
Confluent (CFLT) operates within a substantial global market. The total addressable market (TAM) for Confluent's main products and services, encompassing the data streaming platform, stream processing, data governance, and real-time analytics, is estimated to be approximately $100 billion globally. This market size has expanded, with Confluent itself noting that its TAM has doubled in just four years. The company's offerings are positioned to capture a significant share of this data streaming platform market.AI Analysis | Feedback
Confluent (CFLT) is expected to drive future revenue growth over the next two to three years through several key areas: * Growth of Confluent Cloud and its Consumption-Based Model: Confluent Cloud, the company's managed cloud-native service, is a significant growth engine. It consistently demonstrates robust year-over-year revenue increases, and its consumption-based pricing model allows for greater revenue as customers scale their usage of data streaming. This shift towards cloud-based offerings is a core part of Confluent's strategy. * Accelerated Adoption of Data Streaming Platform (DSP) Components and Flink: Confluent's Data Streaming Platform, which unifies services for real-time streaming, connecting, processing, and governing data, is anticipated to be a primary driver of future growth. Specifically, the adoption of Flink, a key DSP component, has shown significant sequential growth in annual recurring revenue and an increasing number of paying customers. * Expansion of the Customer Base, Particularly Large Enterprise Clients: Confluent continues to grow its customer base, with a particular focus on expanding relationships with large enterprise clients. The company has consistently reported an increase in customers with annual recurring revenue (ARR) of $100,000 or greater, as well as those exceeding $1 million in ARR. This demonstrates successful penetration and expansion within enterprise accounts. * Strategic Positioning and Integration with AI and Generative AI Applications: Confluent is strategically positioning its data streaming platform as the crucial "connective tissue" for artificial intelligence (AI) and Generative AI applications. By feeding real-time data into AI models, Confluent aims to enable richer context and faster decision-making, tapping into the significant growth of the AI market. * International Market Expansion and a Robust Partner Ecosystem: Confluent is expanding its global footprint, with international revenue growth outpacing that of the U.S. The company is also heavily investing in and benefiting from its partner ecosystem, with partner-sourced deals contributing a growing percentage of new business. Initiatives like the Confluent OEM program, which allows partners to offer the full streaming platform, and programs to incentivize migrations, further support this expansion.AI Analysis | Feedback
Share Issuance
- Confluent has indicated an "equity issuance and dilution risk" as a key financial trend.
- As of September 2025, Confluent's 3-Month Share Buyback Ratio was -1.70%, suggesting potential share issuance rather than repurchases.
- Confluent, Inc. had 357.64 million shares outstanding as of March 7, 2026.
Inbound Investments
- IBM announced a definitive agreement on December 8, 2025, to acquire Confluent Inc. for approximately $11 billion, or $31 per share in an all-cash transaction.
- Confluent shareholders have voted to approve the sale to IBM, with the acquisition expected to close around mid-2026.
Capital Expenditures
- Confluent's capital expenditures were $14 million, $21 million, $24 million, and $26 million in recent years, based on available financial data.
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| 02282026 | BMI | Badger Meter | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 0.0% | 0.0% | 0.0% |
| 02282026 | VRNS | Varonis Systems | Insider | Insider Buys 45DStrong Insider BuyingCompanies with multiple insider buys in the last 45 days | 0.0% | 0.0% | 0.0% |
| 02272026 | ITRI | Itron | 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 | 0.0% | 0.0% | 0.0% |
| 02272026 | FSLR | First Solar | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
| 02272026 | PEGA | Pegasystems | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 0.0% | 0.0% | 0.0% |
Research & Analysis
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 193.07 |
| Mkt Cap | 1,163.5 |
| Rev LTM | 154,920 |
| Op Inc LTM | 39,965 |
| FCF LTM | 4,305 |
| FCF 3Y Avg | 12,513 |
| CFO LTM | 70,282 |
| CFO 3Y Avg | 57,153 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 18.9% |
| Rev Chg 3Y Avg | 20.2% |
| Rev Chg Q | 19.3% |
| QoQ Delta Rev Chg LTM | 4.7% |
| Op Mgn LTM | 4.9% |
| Op Mgn 3Y Avg | 4.6% |
| QoQ Delta Op Mgn LTM | 0.3% |
| CFO/Rev LTM | 25.3% |
| CFO/Rev 3Y Avg | 27.8% |
| FCF/Rev LTM | 17.9% |
| FCF/Rev 3Y Avg | 21.1% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 1,163.5 |
| P/S | 10.2 |
| P/EBIT | 21.3 |
| P/E | 26.4 |
| P/CFO | 32.4 |
| Total Yield | 1.8% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 1.5% |
| D/E | 0.0 |
| Net D/E | -0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | 0.6% |
| 3M Rtn | -7.9% |
| 6M Rtn | -8.6% |
| 12M Rtn | 14.6% |
| 3Y Rtn | 65.5% |
| 1M Excs Rtn | 2.6% |
| 3M Excs Rtn | -8.9% |
| 6M Excs Rtn | -9.0% |
| 12M Excs Rtn | -3.1% |
| 3Y Excs Rtn | 0.7% |
Price Behavior
Price Behavior
| Market Price | $30.99 | |
| Market Cap ($ Bil) | 12.5 | |
| First Trading Date | 06/24/2021 | |
| Distance from 52W High | 0.0% | |
| 50 Days | 200 Days | |
| DMA Price | $30.56 | $24.80 |
| DMA Trend | up | up |
| Distance from DMA | 1.4% | 25.0% |
| 3M | 1YR | |
| Volatility | 4.1% | 63.8% |
| Downside Capture | -2.73 | 145.45 |
| Upside Capture | 15.26 | 135.15 |
| Correlation (SPY) | 18.3% | 41.9% |
CFLT Betas & Captures as of 2/28/2026
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 0.11 | 0.08 | -0.16 | 0.79 | 1.51 | 1.60 |
| Up Beta | 0.25 | 0.25 | -0.14 | -0.35 | 1.42 | 1.14 |
| Down Beta | -0.04 | 0.13 | 0.91 | 1.94 | 1.72 | 1.87 |
| Up Capture | 16% | 8% | 49% | 128% | 162% | 544% |
| Bmk +ve Days | 9 | 20 | 31 | 70 | 142 | 431 |
| Stock +ve Days | 11 | 22 | 33 | 60 | 123 | 379 |
| Down Capture | 7% | -8% | -195% | 8% | 132% | 112% |
| Bmk -ve Days | 12 | 21 | 30 | 54 | 109 | 320 |
| Stock -ve Days | 9 | 16 | 25 | 59 | 122 | 364 |
[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 CFLT | |
|---|---|---|---|---|
| CFLT | 19.2% | 63.7% | 0.54 | - |
| Sector ETF (XLK) | 34.4% | 26.7% | 1.08 | 44.7% |
| Equity (SPY) | 22.5% | 18.9% | 0.94 | 42.0% |
| Gold (GLD) | 68.7% | 26.2% | 1.98 | 0.2% |
| Commodities (DBC) | 19.7% | 17.3% | 0.91 | 14.6% |
| Real Estate (VNQ) | 9.3% | 16.2% | 0.37 | 24.8% |
| Bitcoin (BTCUSD) | -9.2% | 44.2% | -0.09 | 18.3% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with CFLT | |
|---|---|---|---|---|
| CFLT | -7.4% | 76.3% | 0.24 | - |
| Sector ETF (XLK) | 17.3% | 24.6% | 0.63 | 49.3% |
| Equity (SPY) | 13.1% | 17.0% | 0.60 | 48.0% |
| Gold (GLD) | 23.6% | 17.2% | 1.12 | 3.2% |
| Commodities (DBC) | 11.2% | 19.0% | 0.47 | 8.6% |
| Real Estate (VNQ) | 4.9% | 18.8% | 0.16 | 31.8% |
| Bitcoin (BTCUSD) | 6.1% | 56.7% | 0.33 | 27.4% |
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Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with CFLT | |
|---|---|---|---|---|
| CFLT | -3.7% | 76.3% | 0.24 | - |
| Sector ETF (XLK) | 22.1% | 24.2% | 0.83 | 49.3% |
| Equity (SPY) | 14.7% | 17.9% | 0.70 | 48.0% |
| Gold (GLD) | 14.4% | 15.6% | 0.76 | 3.2% |
| Commodities (DBC) | 8.4% | 17.6% | 0.39 | 8.6% |
| Real Estate (VNQ) | 5.6% | 20.7% | 0.24 | 31.8% |
| Bitcoin (BTCUSD) | 67.9% | 66.8% | 1.07 | 27.4% |
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Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 2/11/2026 | 0.0% | 0.7% | 0.5% |
| 10/27/2025 | 7.6% | 6.2% | -1.1% |
| 7/30/2025 | -32.9% | -34.7% | -24.1% |
| 4/30/2025 | -18.4% | -14.2% | -3.3% |
| 2/11/2025 | 25.1% | 10.4% | -14.3% |
| 10/30/2024 | 13.4% | 17.6% | 33.7% |
| 7/31/2024 | -17.5% | -24.1% | -16.5% |
| 5/7/2024 | 12.8% | 10.2% | -6.8% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 12 | 12 | 8 |
| # Negative | 7 | 7 | 11 |
| Median Positive | 13.1% | 11.1% | 20.2% |
| Median Negative | -18.4% | -28.5% | -14.3% |
| Max Positive | 34.1% | 39.5% | 73.1% |
| Max Negative | -42.1% | -36.7% | -58.9% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 02/11/2026 | 10-K |
| 09/30/2025 | 10/27/2025 | 10-Q |
| 06/30/2025 | 07/30/2025 | 10-Q |
| 03/31/2025 | 04/30/2025 | 10-Q |
| 12/31/2024 | 02/18/2025 | 10-K |
| 09/30/2024 | 10/30/2024 | 10-Q |
| 06/30/2024 | 07/31/2024 | 10-Q |
| 03/31/2024 | 05/07/2024 | 10-Q |
| 12/31/2023 | 02/21/2024 | 10-K |
| 09/30/2023 | 11/01/2023 | 10-Q |
| 06/30/2023 | 08/02/2023 | 10-Q |
| 03/31/2023 | 05/03/2023 | 10-Q |
| 12/31/2022 | 02/28/2023 | 10-K |
| 09/30/2022 | 11/02/2022 | 10-Q |
| 06/30/2022 | 08/03/2022 | 10-Q |
| 03/31/2022 | 05/05/2022 | 10-Q |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mac, Ban Ryan Norris | Chief Revenue Officer | Direct | Sell | 12232025 | 29.96 | 1,218 | 36,491 | 10,058,531 | Form |
| 2 | Mac, Ban Ryan Norris | Chief Revenue Officer | Direct | Sell | 12232025 | 29.96 | 3,053 | 91,468 | 9,967,063 | Form |
| 3 | Phan, Kong | Chief Accounting Officer | Direct | Sell | 12232025 | 29.96 | 4,545 | 136,168 | 6,606,330 | Form |
| 4 | Kreps, Edward Jay | CHIEF EXECUTIVE OFFICER | Direct | Sell | 12162025 | 30.04 | 506,000 | 15,200,240 | 10,194,585 | Form |
| 5 | Kreps, Edward Jay | CHIEF EXECUTIVE OFFICER | Direct | Sell | 12162025 | 30.10 | 232,500 | 6,998,250 | 10,214,947 | Form |
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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