Has the U.S. Tech Hardware Industry valuation changed over the past few years?

Investors are optimistic on the American Tech industry, and appear confident in long term growth rates. The industry is trading at a PE ratio of 36.5x which is higher than its 3-year average PE of 33.3x. The 3-year average PS ratio of 7.1x is lower than the industry's current PS ratio of 8.5x.

Which industries have driven the changes within the U.S. Tech industry?

There are no additional sub-industries under this industry.

U.S. Tech Hardware Industry Analysis

Date	Market Cap	Revenue	Earnings	PE	Absolute PE	PS
Sat, 09 May 2026	US$5.0t	US$584.2b	US$136.5b	51.3x	36.5x	8.5x
Mon, 06 Apr 2026	US$4.2t	US$556.2b	US$122.6b	25.3x	34x	7.5x
Wed, 04 Mar 2026	US$4.3t	US$553.2b	US$122.8b	25.4x	34.8x	7.7x
Fri, 30 Jan 2026	US$4.2t	US$524.4b	US$113.7b	35.2x	36.8x	8x
Sun, 28 Dec 2025	US$4.3t	US$514.1b	US$111.9b	23.5x	38.1x	8.3x
Tue, 25 Nov 2025	US$4.3t	US$512.7b	US$113.1b	24.8x	37.8x	8.3x
Thu, 23 Oct 2025	US$4.1t	US$504.7b	US$100.3b	26.3x	41x	8.2x
Sat, 20 Sep 2025	US$3.7t	US$504.4b	US$100.3b	26x	37.2x	7.4x
Mon, 18 Aug 2025	US$3.6t	US$502.8b	US$100.5b	20.2x	35.7x	7.1x
Wed, 16 Jul 2025	US$3.3t	US$500.2b	US$98.6b	19.4x	33.1x	6.5x
Fri, 13 Jun 2025	US$3.1t	US$500.2b	US$98.5b	17.7x	31.6x	6.2x
Sun, 11 May 2025	US$3.1t	US$499.4b	US$99.9b	14.5x	30.8x	6.2x
Tue, 08 Apr 2025	US$2.9t	US$494.0b	US$101.2b	13x	28.8x	5.9x
Thu, 06 Mar 2025	US$3.7t	US$492.7b	US$100.5b	17x	36.4x	7.4x
Sat, 01 Feb 2025	US$3.7t	US$479.7b	US$100.5b	21.6x	36.8x	7.7x
Mon, 30 Dec 2024	US$4.0t	US$473.9b	US$97.2b	24.4x	41.1x	8.4x
Wed, 27 Nov 2024	US$3.7t	US$472.7b	US$96.5b	22.9x	37.8x	7.7x
Fri, 25 Oct 2024	US$3.6t	US$466.0b	US$106.8b	19.8x	34x	7.8x
Sun, 22 Sep 2024	US$3.6t	US$466.0b	US$106.7b	19.5x	33.7x	7.7x
Tue, 20 Aug 2024	US$3.6t	US$465.1b	US$106.8b	24.6x	33.5x	7.7x
Thu, 18 Jul 2024	US$3.8t	US$457.1b	US$103.3b	26.6x	36.4x	8.2x
Sat, 15 Jun 2024	US$3.4t	US$457.1b	US$103.2b	26.3x	33.4x	7.5x
Mon, 13 May 2024	US$2.9t	US$456.7b	US$103.2b	28x	28.6x	6.5x
Wed, 10 Apr 2024	US$2.8t	US$457.8b	US$102.9b	24.4x	26.7x	6x
Fri, 08 Mar 2024	US$2.8t	US$457.8b	US$102.6b	25.9x	27x	6.1x
Sun, 04 Feb 2024	US$3.0t	US$458.7b	US$102.6b	28.4x	29.1x	6.5x
Tue, 02 Jan 2024	US$3.1t	US$455.3b	US$98.5b	26.2x	31.4x	6.8x
Thu, 30 Nov 2023	US$3.1t	US$455.2b	US$98.4b	26x	31x	6.7x
Sat, 28 Oct 2023	US$2.7t	US$453.7b	US$95.6b	19x	28.4x	6x
Mon, 25 Sep 2023	US$2.8t	US$453.9b	US$95.1b	20.2x	29.7x	6.2x
Wed, 23 Aug 2023	US$2.9t	US$454.0b	US$95.2b	25.2x	30.1x	6.3x
Fri, 21 Jul 2023	US$3.1t	US$456.4b	US$95.7b	32.2x	32.7x	6.9x
Sun, 18 Jun 2023	US$3.0t	US$456.4b	US$95.7b	30.8x	31.3x	6.6x
Tue, 16 May 2023	US$2.8t	US$456.5b	US$95.7b	25.2x	29x	6.1x


US Market	2.14%
Tech	6.51%
Tech Hardware	6.00%
Tech Hardware Storage and Peripherals	6.00%

Company	Last Price	7D	1Y	Valuation
AAPL Apple	US$287.42	5.9% +US$241.4b	45.5%	PE34.4x
SNDK Sandisk	US$1.34k	22.2% +US$36.6b	3,555.1%	PE44x
STX Seagate Technology Holdings	US$766.44	13.8% +US$20.8b	695.9%	PE72.3x
DELL Dell Technologies	US$230.27	10.2% +US$13.9b	139.3%	PE25.2x
WDC Western Digital	US$463.91	6.8% +US$12.6b	947.2%	PE25.2x

Announcement • 22h

Hewlett Packard Enterprise Moves Self-Driving Networks From Vision To Reality With New Autonomous Networking Capabilities

Hewlett Packard Enterprise announced new self-driving network capabilities, establishing the company as the industry’s first and only provider of fully autonomous, agentic AIOps networking. With the introduction of new self-driving actions across HPE Mist and HPE Aruba Central, HPE delivers on its vision of secure, AI-native, fully autonomous networking by enabling networks that can detect, diagnose, and resolve issues in real time without human intervention. Central to this approach is a differentiated architecture powered by microservices, autonomous agents, and an advanced agentic mesh, designed to move beyond insight-driven operations to true autonomy, and proactively resolve issues before they impact revenue, operations, or brand reputation. HPE customers such as the UK Ministry of Justice are realizing tangible benefits from full agentic autonomy via the HPE Self-driving Network, and have significantly improved network operations by leveraging HPE Self-driving Network capabilities to achieve a significant reduction in helpdesk tickets and dramatically streamline issue resolution. These results mirror broader customer outcomes across HPE’s portfolio, where automation and AI-driven insights have consistently reduced operational burdens, minimized escalations, and accelerated deployment timelines. HPE is expanding the capabilities of its self-driving network with new autonomous actions, driven by autonomous agents and powered by agentic AI across its HPE Mist and HPE Aruba Central platforms, further reducing the need for manual intervention. New agents announced now deliver capacity and radio optimization, self-securing actions, and user roaming issue resolution. Together, these capabilities enable networks to proactively improve user experience and prevent issues before they disrupt business operations. New self-driving actions designed to optimize and secure end user experiences include: Dynamic Capacity Optimization: Autonomously identifies capacity bottlenecks and dynamically tunes RF parameters, including band selection, channel bandwidth, and power levels, beyond predefined operational ranges by leveraging learned utilization patterns. This delivers optimized end-user capacity, coverage, and roaming experiences for wireless users. Autonomous Missing VLAN Remediation: A trusted self-driving action that autonomously fixes VLAN configuration errors in the access layer to prevent blackholing of client traffic. This is an evolution from driver-assisted VLAN remediation, assuring even faster problem resolution for better user experiences. Rogue DHCP Protection: Autonomously detects and remediates unauthorized DHCP servers to mitigate potential external security risks and prevent end user connectivity disruptions. Real-time Dynamic Frequency Selection (DFS): Self-driving complements AI-driven Radio Resource Management (RRM) to adaptively learn and proactively avoid association issues on frequently impacted channels to mitigate wireless client disruptions. Client Roaming Optimization: Ensure smooth, uninterrupted roaming for users by analyzing client connectivity metrics, including location, leading to self-driving actions. User Experience Latency Metrics: Accelerate root-cause identification by measuring Wi-Fi performance at “first connect” and providing clear, end-to-end visibility into latency from the user’s device to the cloud. Both HPE Mist and HPE Aruba Central benefit from expanded OpenRoaming integration, reducing costs and operational complexity while supporting easier, more secure Wi-Fi access across locations without constant logins, and protecting users with strong identity checks. This capability also helps simplify operations and move organizations faster toward Zero Trust security. Additional innovations announced include: Simplified Inline Microsegmentation: provides a unified wired and wireless policy framework that enables consistent enforcement for distributed enterprises – without requiring a network redesign. Real-world Network Access Controller (NAC) Sandbox Testing: new “dry run” capabilities within HPE Mist Access Assurance allow policies to be validated against actual conditions and to assess true impact before deployment, reducing risk, enabling zero trust, and ensuring operational continuity. The first AI-native, dual-platform Wi-Fi access points are now generally available (GA), beginning with the HPE Networking 723H APs, which provide AI telemetry for self-driving networks in a hospitality-friendly, wall-mount form factor and are the first HPE Networking APs to work with HPE Mist or HPE Aruba Central. HPE is also making available two special financing programs to accelerate network transformation: 10% savings on datacenter networking and enterprise routing for AI workloads, and 0% financing on HPE Networking term-based software, including HPE Juniper Networking Mist.

Announcement • 22h

Vultr, SUSE And Supermicro Debut Unified Cloud-To-Edge Architecture For Global AI Scaling

Vultr, the world's largest privately-held cloud infrastructure company, in collaboration with SUSE and Supermicro, announced a strategic architectural framework designed to solve the complexities of deploying and operating AI workloads across distributed environments. The joint initiative provides a seamless, Cloud-to-Edge pipeline that integrates high-performance hardware, localized cloud infrastructure, and unified Kubernetes management. The solution breaks down the infrastructure into three critical layers: The Cloud and Near-Edge - Enterprises can deploy regional Kubernetes-based AI clusters closer to their users by leveraging Vultr’s 33 global cloud data center regions. Using Cluster API (CAPI), teams can programmatically replicate and scale environments, using high-performance NVIDIA GPUs for inference when local edge capacity is exceeded. The Metro Edge - Designed for diverse edge environments with ultra low latency and low power requirements, Supermicro’s large portfolio of CPU and GPU capable edge servers and devices allows for a near-bespoke hardware + software solution. Leveraging Supermicro’s strong partnership with SUSE, these systems have been validated with SUSE Linux Enterprise Server and SUSE Kubernetes Engine (RKE2 and K3s) to deploy and orchestrate distributed agents and inferencing on Vultr. These systems handle real-time workloads like computer vision and sensor data processing directly at the source. The Control Layer - To manage thousands of sites without manual intervention, SUSE Edge (with SUSE Rancher Prime and Fleet) enables Git-Ops-driven workflow across cloud and distributed edge environments. When combined with SUSE AI, it ensures that the entire software stack, inclusive of security policies, model updates, and configurations, remain consistent from the core data center to the edge devices. For scenarios that extend into industrial systems, SUSE Industrial Edge builds on this model to support private, on-site deployments with deeper integration into operational environments. The partnership will be a focal point for upcoming industry discussions, where the companies will demonstrate how the convergence of Kubernetes and specialized edge hardware is making large-scale AI deployments practical for the first time.

U.S. Tech Hardware Industry Analysis

Industry Valuation and Performance

Industry Trends

Top Stock Gainers and Losers

Latest News

Investor sentiment improves as stock rises 22%

Cotchett, Pitre & McCarthy Announces Proposal for $250 Million Settlement in Apple AI False Advertising Case

Hewlett Packard Enterprise Moves Self-Driving Networks From Vision To Reality With New Autonomous Networking Capabilities

Vultr, SUSE And Supermicro Debut Unified Cloud-To-Edge Architecture For Global AI Scaling

Seagate Technology Holdings plc Announces the Retirement of Michael R. Cannon, Lead Independent Director

Dell Q1 Preview: Upcoming Earnings Could Extend AI Momentum

Western Digital Sees Strong AI Storage Growth and Higher Guidance While Shares Face Volatility

Founder notifies of intention to sell stock

CPI Card Group Inc. Affirms Earnings Guidance for 2026

GPGI: Future Issuer Partnerships Will Counter Short Seller Concerns And Support Upside

First quarter 2026 earnings released: US$0.11 loss per share (vs US$0.13 loss in 1Q 2025)

Corvex Inc., Annual General Meeting, May 29, 2026

CAN: Tether Immersion Mining Partnership Will Support Future Upside Potential

Boxlight Corporation, Annual General Meeting, Jun 02, 2026

Full year 2025 earnings released: US$2.24 loss per share (vs US$3.22 loss in FY 2024)

Executive VP & Director notifies of intention to sell stock