Core Insights - The upcoming earnings report for Elastic (ESTC) is projected to show quarterly earnings of $0.58 per share, reflecting a decline of 1.7% year-over-year, while revenues are expected to reach $418.13 million, indicating a 14.4% increase compared to the previous year [1] Earnings Projections - There has been a significant downward revision of 37.5% in the consensus EPS estimate over the last 30 days, indicating a collective reassessment by analysts of their initial forecasts [2] - Changes in earnings projections are crucial for predicting investor reactions, as empirical studies have shown a strong correlation between earnings estimate trends and short-term stock price movements [3] Revenue Estimates - Analysts forecast 'Revenue- Services' to be $26.03 million, representing a 6% increase from the prior-year quarter [5] - The consensus for 'Revenue- Subscription' is $385.76 million, indicating a year-over-year change of 13.2% [5] - 'Revenue- Subscription- Elastic Cloud' is expected to reach $201.75 million, reflecting a 19.5% increase from the year-ago quarter [5] - 'Revenue- Subscription- Other subscription' is projected to be $189.54 million, showing a 10.2% increase from the previous year [6] Stock Performance - Over the past month, Elastic shares have gained 11.9%, outperforming the Zacks S&P 500 composite, which saw a 1.5% change [6] - Based on its Zacks Rank 3 (Hold), Elastic is expected to perform in line with the overall market in the near term [6]

Market Overview - Wall Street is currently facing concerns regarding inflation and mixed opinions from bankers about the health of the US economy, with high valuations of artificial intelligence stocks contributing to investor anxiety [1][2] - The volatility in tech stocks is attributed to fears of a concentration in the 'Mag 7' within the S&P 500 and the potential for an AI bubble [3] Nvidia's Earnings - Nvidia's upcoming earnings report on November 19 is anticipated to be pivotal for Wall Street, as it may indicate whether the momentum in AI investment is sustained [2] - Analysts suggest that if Nvidia does not meet growth expectations, it could negatively impact related trades in the market [2] CoreWeave, Inc. (NASDAQ:CRWV) - CoreWeave is highlighted as a significant AI stock, with a Buy rating initiated by Compass Point and a price target of $150, driven by AI-driven data center spending and contracts with major clients [7] - The company has a revenue backlog of $55.6 billion as of Q3 2025, reflecting an 85% sequential increase from $30.1 billion in Q2 2025, supported by commitments from clients like OpenAI and Meta [9] - Nvidia, a 7% shareholder in CoreWeave, has provided a $6.3 billion capacity backstop to ensure revenue generation from unused GPUs through 2032, reinforcing confidence in CoreWeave's growth [10] Elastic N.V. (NYSE:ESTC) - Elastic N.V. is another AI stock of interest, with Guggenheim reiterating a Buy rating and a price target of $122, based on expected revenue outperformance and margin expansion [11] - Projections indicate that Elastic will exceed consensus expectations for its second-quarter revenue and will likely raise its fiscal 2026 guidance [12][14] - The company is expected to achieve a total revenue growth of 18% year-over-year, with cloud revenue growth stable at 24% [13][14]

Core Insights - Elastic has been recognized as a Leader in the IDC MarketScape for Worldwide General-Purpose Knowledge Discovery 2025, highlighting its strong position in the market for search and analytics solutions [1][3]. Company Overview - Elastic is identified as the Search AI company, integrating search technology with artificial intelligence to transform data into actionable insights [8]. - The company has a significant user base, with over 50% of Fortune 500 companies utilizing its solutions [8]. Product Strengths - Elasticsearch is noted for its capabilities as a widely deployed open-source document and vector database, providing a powerful search and analytics engine essential for generative AI applications [1][2]. - The platform supports fast semantic and hybrid search, GPU-accelerated inference-as-a-service, and offers integrated observability and access controls [2][3]. Key Differentiators - Elastic's hybrid, semantic, and reranking models ensure AI systems are grounded in relevant and accurate context, a concept the company pioneered [5]. - The introduction of Agent Builder allows developers to create custom AI agents quickly, enhancing the platform's flexibility and usability [4][5]. - The company has achieved over 5.5 billion downloads of Elasticsearch, indicating a robust open-source community and developer engagement [5]. Strategic Vision - Elastic aims to help organizations unlock the full potential of their data by connecting content, context, and creativity through search and generative AI [5]. - The company emphasizes a unified data platform that combines search, observability, and security, helping organizations reduce costs and achieve faster insights [5]. Market Position - The IDC MarketScape assessment utilizes a rigorous scoring methodology to evaluate technology suppliers, providing a comprehensive overview of their competitive fitness [7]. - Elastic's recognition as a Leader reflects its strong capabilities and strategies in the knowledge discovery market [1][3].

Core Viewpoint - Elastic (ESTC) is anticipated to report a year-over-year decline in earnings despite an increase in revenues for the quarter ending October 2025, with the actual results being a significant factor influencing its near-term stock price [1][2]. Earnings Expectations - The consensus estimate for Elastic's upcoming quarterly earnings is $0.58 per share, reflecting a year-over-year decrease of 1.7%. Revenues are projected to reach $418.13 million, representing a 14.4% increase compared to the same quarter last year [3]. Estimate Revisions - Over the past 30 days, the consensus EPS estimate has been revised downwards by 37.5%, indicating a reassessment by analysts regarding the company's earnings outlook [4]. Earnings Surprise Prediction - The Zacks Earnings ESP model indicates that Elastic has a positive Earnings ESP of +0.52%, suggesting that analysts have recently become more optimistic about the company's earnings prospects [12]. Historical Performance - In the last reported quarter, Elastic exceeded the expected earnings of $0.42 per share by delivering $0.60, resulting in a surprise of +42.86%. The company has beaten consensus EPS estimates in all of the last four quarters [13][14]. Investment Considerations - While Elastic is viewed as a strong candidate for an earnings beat, investors are advised to consider other factors that may influence stock performance beyond just earnings results [15][17].

Core Insights - Elastic has announced new capabilities in the Elastic Distribution of OpenTelemetry (EDOT) SDK, aimed at simplifying the management, updating, and deployment of SDKs at scale [1] - The company introduced new features to support OpenTelemetry for the PHP programming language, addressing the needs of developers and observability teams [1] Group 1 - The new capabilities in EDOT SDK are designed to alleviate bottlenecks faced by developers managing thousands of OpenTelemetry SDKs across distributed systems [1] - The enhancements in OpenTelemetry support for PHP are part of Elastic's broader strategy to improve observability and streamline operations for developers [1]

Core Viewpoint - Elastic (ESTC) has consistently surpassed earnings estimates and is well-positioned for future earnings growth, making it a strong candidate for investors [1][5]. Earnings Performance - In the last reported quarter, Elastic achieved earnings of $0.6 per share, exceeding the Zacks Consensus Estimate of $0.42 per share, resulting in a surprise of 42.86% [2]. - In the previous quarter, the company was expected to report earnings of $0.37 per share but delivered $0.47 per share, leading to a surprise of 27.03% [2]. Earnings Estimates and Predictions - There has been a favorable change in earnings estimates for Elastic, with a positive Zacks Earnings ESP (Expected Surprise Prediction), indicating a strong likelihood of an earnings beat [5][8]. - The current Earnings ESP for Elastic is +0.52%, suggesting that analysts are optimistic about its near-term earnings potential [8]. Zacks Rank and Success Rate - The combination of a positive Earnings ESP and a Zacks Rank of 3 (Hold) suggests that Elastic has a high probability of beating earnings estimates, with historical data indicating that nearly 70% of stocks with this combination achieve a positive surprise [6][8].

Core Insights - The article discusses the challenges and disappointments in the enterprise software investment space, highlighting the gap between promising technology and actual investment performance [1]. Group 1: Analyst Background - Bert Hochfeld has a strong educational background with a degree in economics from the University of Pennsylvania and an MBA from Harvard [1]. - Hochfeld has extensive experience in the tech industry, having worked for notable companies such as IBM, Memorex/Telex, Raytheon Data Systems, and BMC Software [1]. - He transitioned to a sell-side analyst role in the 1990s and received accolades from the Wall Street Journal for his coverage of the software sector [1]. Group 2: Research and Fund Management - In 2001, Hochfeld established Hochfeld Independent Research Group, providing research services to major institutions like Fidelity and Columbia Asset [1]. - He managed the Hepplewhite Fund, which specialized in technology investments and was rated as the best performing small-cap fund for the five years ending in 2011 by Hedge Fund Research [1]. - Hochfeld has authored over 500 articles on Seeking Alpha, focusing on information technology companies [1]. Group 3: Legal Issues - In 2012, Hochfeld faced legal issues, being convicted of misappropriating funds from the hedge fund he operated [1]. Group 4: Investment Performance - Hochfeld is recognized for his investment acumen, ranking in the top 0.1% of Tip Ranks analysts for his successful selection of information technology stocks [1].

Core Insights - The article discusses the challenges and disappointments in the enterprise software investment space, highlighting the gap between promising technology and actual investment performance [1]. Group 1: Analyst Background - Bert Hochfeld has a strong educational background with a degree in economics from the University of Pennsylvania and an MBA from Harvard [1]. - Hochfeld has extensive experience in the tech industry, having worked for notable companies such as IBM, Memorex/Telex, Raytheon Data Systems, and BMC Software [1]. - He transitioned to a sell-side analyst role in the 1990s and received accolades from the Wall Street Journal for his coverage of the software sector [1]. Group 2: Research and Fund Management - In 2001, Hochfeld established Hochfeld Independent Research Group, providing research services to major institutions like Fidelity and Columbia Asset [1]. - He managed the Hepplewhite Fund, which specialized in technology investments and was rated as the best performing small-cap fund for the five years ending in 2011 by Hedge Fund Research [1]. - Hochfeld has published over 500 articles on Seeking Alpha, focusing on information technology companies [1]. Group 3: Legal Issues - In 2012, Hochfeld faced legal issues, being convicted of misappropriating funds from the hedge fund he operated [1]. Group 4: Investment Performance - Hochfeld is recognized for his investment acumen, ranking in the top 0.1% of Tip Ranks analysts for his successful selection of information technology stocks [1].

Core Insights - ESTC's MSCI ESG rating has been upgraded from AA to AAA as of October 30, 2025 [1] Group 1 - The upgrade reflects an improvement in ESTC's environmental, social, and governance practices [1]

Core Insights - Elastic has announced a new integration with Azure AI Foundry, aimed at enhancing observability for agentic AI applications and large language models (LLMs) [1] - This integration provides site reliability engineers (SREs) and developers with real-time insights into LLMs, generative AI, and agentic AI workloads [1] - The goal is to enable the building, monitoring, and optimization of intelligent agents on Azure AI Foundry with improved reliability and efficiency [1]