Akamai Reports Q4 Results Below Expectations, Stock Drops
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 20 2026
0mins
Should l Buy AKAM?
Source: Benzinga
Akamai Technologies Inc's stock rose by 5.36% as it crossed above the 20-day SMA, despite broader market declines with the Nasdaq-100 down 0.88% and the S&P 500 down 0.78%.
The company's recent earnings report revealed adjusted earnings per share of $1.84, surpassing expectations, but the weak outlook guidance for fiscal year 2026, projecting adjusted EPS between $6.20 and $7.20, below the market estimate of $7.31, has raised concerns among investors. This led to a significant stock decline of 9.03% to $97.32, reflecting worries about future growth prospects.
Despite the strong Q4 performance, the disappointing guidance has overshadowed the positive earnings, indicating a potential decline in investor confidence moving forward.
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Analyst Views on AKAM
Wall Street analysts forecast AKAM stock price to rise
11 Analyst Rating
6 Buy
5 Hold
0 Sell
Moderate Buy
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
Current: 102.110
Low
89.00
Averages
103.73
High
115.00
About AKAM
Akamai Technologies, Inc. is a cybersecurity and cloud computing company. The Company develops and provides solutions for global enterprises to build, secure and accelerate their applications and digital experiences. Akamai Connected Cloud, the Company's platform, is comprised of an edge and cloud architecture and underlying network for cloud computing, security and content delivery services. Its cloud computing services include compute, storage, networking, database and container management services that are required to build, deploy and secure applications and workloads. Its security solutions are designed to keep infrastructure, websites, applications, application programming interfaces and users safe from a multitude of cyberattacks and online threats while improving performance. Its content delivery solutions consist of Web and mobile performance focused solutions and media delivery solutions. It also provides services and support for its customers as they utilize its solutions.
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.
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- Security Risk Warning: Amazon's lawsuit indicated that Perplexity's AI agents pose security risks to customer data as they can operate within protected systems requiring passwords, potentially diminishing customer trust and affecting Amazon's user base.
- Advertising Business Challenges: Amazon stated that Perplexity's agents create challenges for its advertising business, necessitating the development of new mechanisms to identify and exclude automated traffic, ensuring advertisers only pay for genuine user impressions, which could increase operational costs and impact profitability.
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- Customer Response: An Amazon spokesperson expressed regret for the issues customers faced while shopping and appreciated their patience, highlighting the company's commitment to customer service.
- Fresh Service Issues: Users also reported difficulties placing orders and viewing purchase history with Amazon Fresh, exacerbating customer dissatisfaction and potentially impacting sales.
- Cloud Service Stability: Despite the website issues, Amazon stated that its cloud computing services were functioning normally, indicating the company's resilience and stability in managing technical challenges.
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- Technical Infrastructure: The GPU cluster will be hosted in a data center designed for efficient, high-density power capacity, combined with an AI-optimized Ethernet networking platform that ensures efficient connectivity for large-scale AI factories and GPU-accelerated computing, enhancing overall computational performance.
- Global Infrastructure Expansion: Akamai has rapidly expanded its global IaaS footprint to 41 data centers, leveraging relationships with multiple data center partners to drive growth, further enhancing its AI inference and generalized compute capabilities to meet market demand.
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- Unified Platform Development: This deployment creates a unified platform that intelligently routes AI inference workloads to optimized compute resources, significantly reducing latency and data egress issues, which enhances user experience.
- AI Inference Cloud Strategy: Akamai's recent launch of the AI Inference Cloud redefines how AI is utilized by bringing it closer to users and devices, with projections indicating a 45%-50% revenue growth in CIS for 2026.
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See More
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- Latency Reduction: The new architecture supports rapid inference by reducing latency and data egress issues associated with centralized data centers, addressing the primary barrier faced by 56% of organizations in AI deployment, thereby enhancing the company's competitive position in the inference era.
- Localized Optimization: Akamai's GPU clusters enable on-site optimization of large language models, ensuring data privacy and regional compliance, which further enhances the company's flexibility and adaptability in AI applications.
- Cost Savings: Compared to traditional hyperscaler infrastructure, Akamai's AI inference platform can reduce latency by up to 2.5 times, helping businesses save as much as 86% on AI inference costs, significantly improving return on investment.
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