Analysts Expect FNX To Hit $129
Written by Emily J. Thompson, Senior Investment Analyst
Updated: May 08 2025
0mins
Should l Buy CFLT?
Source: NASDAQ.COM
ETF Analysis: The First Trust Mid Cap Core AlphaDEX Fund ETF (FNX) has an implied analyst target price of $129.03 per unit, indicating a potential upside of 20.41% from its current trading price of $107.16.
Stock Performance Insights: Notable underlying holdings such as Upstart Holdings Inc, Confluent Inc, and Cleveland-Cliffs Inc show significant upside potential based on analyst targets, raising questions about the validity of these targets amidst market conditions.
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Analyst Views on CFLT
Wall Street analysts forecast CFLT stock price to fall
22 Analyst Rating
0 Buy
21 Hold
1 Sell
Hold
Current: 30.990
Low
24.00
Averages
30.53
High
31.00
Current: 30.990
Low
24.00
Averages
30.53
High
31.00
About CFLT
Confluent, Inc. provides a data streaming platform that enables customers to connect their applications, systems, and data layers and can be deployed as a fully-managed cloud-native software-as-a-service (SaaS) offering, Confluent Cloud, as a self-managed software offering, Confluent Platform, or as a Bring Your Own Cloud (BYOC) managed service offering where the raw data resides inside a customer’s own cloud environment, WarpStream. The Company also offers professional services and educational services. The Company is focused on developing a category of data infrastructure focused on data in motion for developers and enterprises. Its cloud-native offering works across multi-cloud and hybrid infrastructures and supports a variety of deployment models to support diverse customer requirements, delivering massive scalability, elasticity, security, and global interconnectedness, enabling agile development. WarpStream offers a lower-cost option for relaxed latency use cases for customers.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- Securities Fraud Investigation: Pomerantz LLP is investigating claims against Confluent, Inc. and its executives for potential securities fraud or unlawful business practices, which could undermine investor confidence and lead to stock price volatility.
- Declining Financial Performance: In Q2 2025, Confluent disclosed a significant reduction in Confluent Cloud usage due to a client's shift towards self-management of data platforms, forecasting a low single-digit decline in Q4 cloud revenue growth rate.
- Stock Price Volatility: Following this news, Confluent's stock price plummeted by $8.67, or 32.86%, closing at $17.73 per share on July 31, 2025, reflecting market concerns about the company's future performance.
- Legal Background: Pomerantz LLP, recognized as a leading firm in securities class action litigation, has a long history of advocating for victims of securities fraud, having recovered millions in damages for class members, underscoring its expertise and influence in such cases.
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- Shareholder Value Creation: IBM has created more shareholder value in the past three years than in the previous 111 years combined, demonstrating significant achievements in its transformation and strong market recognition of its strategic shift.
- Revenue Growth Model: Jim Kavanaugh noted that IBM's revenue growth model has achieved sustainable growth over the past three years, with operating margins improving by 1000 basis points, indicating success in optimizing business structure and enhancing profitability.
- AI Business Expansion: IBM's AI business reached $12.5 billion by 2025, with quarterly growth exceeding $3 billion, showcasing the company's strong growth potential in enterprise AI and further solidifying its market position.
- Strategic Investment and Acquisitions: The acquisition of Confluent is seen as a crucial part of IBM's AI strategy, expected to enhance the company's data streaming capabilities, drive widespread AI adoption, and improve overall competitiveness.
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- Shareholder Value Creation: IBM has created more value for shareholders in the past three years than in the previous 111 years combined, showcasing significant achievements during its transformation and boosting investor confidence while attracting more investments.
- Revenue Growth Model: Jim Kavanaugh noted that IBM's revenue growth model has achieved sustainable growth over the past three years, with operating margins improving by 1,000 basis points, indicating success in optimizing business structure and enhancing profitability.
- AI Business Expansion: IBM's AI business reached $12.5 billion in 2025, growing 30% year-over-year, reflecting rapid growth in investment and market demand in the AI sector, further solidifying its market position.
- Strategic Investment and Acquisitions: The acquisition of Confluent is seen as a crucial part of IBM's AI strategy, expected to enhance the company's data streaming capabilities and drive widespread AI technology adoption, thereby improving overall business competitiveness.
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- Insufficient Market Demand: BigBear.ai's TrueFace facial recognition platform boasts a 99.1% success rate against a database of 12 million identities, yet its primary clients are U.S. government entities, limiting its expansion into commercial markets and negatively impacting revenue growth.
- Weak Revenue Growth: In stark contrast to Palantir Technologies, which has seen a 125% revenue increase over the past three years, BigBear.ai's revenue has declined by 10.3%, highlighting its competitive disadvantage and contributing to a 42% drop in stock price over the past year.
- Limited Product Applications: While TrueFace and ConductorOS are critical in government and military applications, most corporations do not require these costly security solutions, which restricts BigBear.ai's market potential and affects its long-term strategic development.
- Competitor Advantages: Following IBM's acquisition of Confluent, the company has solidified its position in the AI sector with extensive cloud computing infrastructure and 912 generative AI patents, intensifying market pressure on BigBear.ai and prompting investors to reassess its investment value.
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- Market Demand Discrepancy: BigBear.ai focuses on AI applications for government and security systems, and while its TrueFace facial recognition platform boasts a 99.1% success rate against a database of 12 million identities, its limited market demand has led to lagging revenue growth and a 42% stock price decline over the past year.
- Customer Base Limitations: BigBear.ai's products primarily serve U.S. government clients, but most corporations do not require costly facial recognition solutions, which restricts the potential for customer expansion and impacts the company's long-term growth prospects.
- IBM's Strategic Acquisition: IBM's decision to acquire Confluent aims to enhance data access efficiency for AI systems through its cloud data streaming platform, bolstering its competitive position in cloud computing infrastructure, despite a 26% drop in IBM's stock price post-acquisition.
- Industry Comparison: In contrast to BigBear.ai's 10.3% revenue decline, Palantir Technologies has seen a 125% revenue increase over the past three years, highlighting the intense competition in the AI market, with IBM's integration of Confluent expected to improve its market performance.
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- Market Panic Intensifies: Jefferies analysts highlight that the rapid advancement of artificial intelligence could disrupt traditional business models, leading to sell-offs in sectors like software-as-a-service, insurance, logistics, and real estate, with the iShares Expanded Tech-Software Sector ETF (IGV) down over 23% this year, entering a bear market, reflecting investor anxiety about the future.
- AI Risk Stock Basket: Jefferies has created an 'AI risk' basket comprising 150 stocks with market caps above $1 billion that face potential risks such as asset repricing, demand substitution, and labor substitution, indicating a heightened vigilance among investors regarding the potential impacts of AI.
- Unity Software Struggles: Unity Software's stock has plunged 59% in 2026, with analysts noting that AI content may lower switching costs, allowing developers to more easily recreate and migrate assets, thereby weakening the moat-like appeal of Unity's ecosystem and exacerbating investor fears.
- Other Affected Companies: In addition to Unity, companies like Datadog, MongoDB, and ServiceNow are also impacted by AI disruption fears, particularly as MongoDB's moat could be threatened by AI coding tools, reducing developers' reliance on a single database architecture.
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