Arista Networks, Inc.

Arista Networks, Inc.

ANET

$215.36

Updated: 07/10/2026, 03:42:21

Market Cap
$271.17B
Sector
Technology
Industry
Computer Hardware
Country
US
Stock valuation chart
One-year closing share-price history for ANET
Company Profile

Arista Networks, Inc. is a leading global technology firm that designs, promotes, and distributes innovative cloud networking solutions across the Americas, Europe, the Middle East, Africa, and Asia-Pacific regions. Its comprehensive product portfolio features advanced extensible operating systems, a collection of powerful network applications, and high-performance gigabit Ethernet switching and routing hardware. The company also offers robust post-contract customer support, which includes technical assistance, hardware repairs, parts replacement beyond standard warranty, and critical bug fixes, patches, and upgrades. Arista serves a diverse clientele, encompassing major internet companies, telecommunication providers, financial services organizations, government agencies, and entities in the media and entertainment sectors. Its sales strategy involves multiple channels, utilizing distributors, system integrators, value-added resellers, original equipment manufacturer partners, and a dedicated direct sales force. Established in 2004 as Arastra, Inc., the company adopted the name Arista Networks, Inc. in October 2008 and is headquartered in Santa Clara, California.

USD
NYSE
CEO: Jayshree V. Ullal
Employees: 5,115
https://www.arista.com
Asset Summaries
Latest generated summaries for ANET

No summaries found.

Detailed business
Evidence-backed facts extracted from the latest official annual filing.
ANET-10-k-fy2025.html1.8 MBtext/htmlENFiled 17/02/2026Period ended 31/12/2025

Business monitoring

Reported and calculated KPIs plus operational exposure disclosed in the FY 2025 filing.

Evidence-backed · 54 KPI observations

Revenue

$9.0B

FY 2025 · Reported

Net income

$3.5B

FY 2025 · Reported

Gross margin

64.1%

FY 2025 · Calculated

Free cash flow

N/A

FY — · Reported

R&D intensity

13.7%

FY 2025 · Calculated

Share repurchases

$1.6B

FY 2025 · Reported

Earnings and cash generation
USD billions, directly sourced from inline XBRL; free cash flow is operating cash flow less capex.
Profitability and reinvestment
Margins and R&D as a percentage of revenue.
Top products and services
Reported sales by product or service. Shares and growth are calculated from the filing values.
Product / serviceSalesShare of salesYoY growthBy reported area
fiscal_year
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans, 32% from Enterprise and 20% from AI and Specialty Providers.”
2,025N/AN/ANot disclosed by product and area
cloud_and_ai_titans_pct
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans, 32% from Enterprise and 20% from AI and Specialty Providers.”
48N/AN/ANot disclosed by product and area
enterprise_pct
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans, 32% from Enterprise and 20% from AI and Specialty Providers.”
32N/AN/ANot disclosed by product and area
ai_and_specialty_providers_pct
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans, 32% from Enterprise and 20% from AI and Specialty Providers.”
20N/AN/ANot disclosed by product and area

Other offerings mentioned without separate sales

Etherlink AI networking portfolio
Product revenue composition
Software: NetDL, CloudVision, AVA, Zero Trust, A-Care
Core, Cognitive Adjacencies, Cognitive Networks offerings
Campus and SD-WAN portfolio
EOS operating system
Substantially all product revenue from switching and routing platforms
Cloud-Grade Routing platforms
New product families introduced

Area-level product sales are displayed only when the filing reports a product × geography breakdown. Regional totals are not allocated across products by estimation.

Geographic footprint
What the filing identifies, separated by location role so partner manufacturing is not presented as Apple-owned factories.
1 named headquarters
0 manufacturing countries
0 individually named factories

Map layer

Pins show disclosed operations. The heatmap colors the filing’s reported geographies; regional figures shade the region and are not estimates for each country.

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country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)No reported geographic revenue disclosureAmericas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)Americas: 79.1% of reported revenue (regional figure; not allocated by country)No 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reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureAmericas: 79.1% of reported revenue (regional figure; not allocated by country)No reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureNo reported geographic revenue disclosureAmericas: 79.1% of reported revenue (regional figure; not allocated by country)No reported geographic revenue disclosure
Named headquarters Manufacturing partner country

Only locations and quantities explicitly supported by the filing are displayed. A country-level manufacturing percentage or product allocation is shown only when the source discloses it; materiality scores are never presented as production shares.

Revenue exposure by reported geography
FY 2025 share of total net sales. Regional segments are kept as regions rather than falsely allocated to individual countries.
Americas
+79.1%
EMEA
+11.9%
Asia Pacific
+9.0%

How the business makes money

Data-driven networking-as-a-service strategy

Client-to-cloud networking-as-a-service across four domains: AI Centers, Data Centers, Campus Centers, and WAN Centers

98%
Source evidence
“Our “Centers of Data” strategy is a fundamental pivot from legacy networking approaches that create incongruent silos to a unified, data-driven approach in which the network is a service that interconnects four primary domains: AI Centers, Data Centers, Campus Centers, and WAN Centers.”

Arista 'Centers of Data' strategy

Networking-as-a-service across AI Centers, Data Centers, Campus Centers, WAN Centers anchored by EOS and NetDL

97%
Source evidence
“Our “Centers of Data” strategy is a fundamental pivot from legacy networking approaches that create incongruent silos to a unified, data-driven approach in which the network is a service that interconnects four primary domains: AI Centers, Data Centers, Campus Centers, and WAN Centers.”

Hyperscaler-enablement heritage

Established market leader enabling hyperscalers' networks; enterprises adopting hyperscale technologies

90%
Source evidence
“Arista established itself as a market leader with platforms, products, and people to enable some of these hyperscalers’ most consequential networks.”

Three customer categories

Cloud and AI Titans, AI and Specialty Providers, and Enterprise

97%
Source evidence
“a global customer base segmented into three primary categories: Cloud and AI Titans, AI and Specialty Providers, and Enterprise.”

Three primary customer categories

Cloud and AI Titans, AI and Specialty Providers, and Enterprise

97%
Source evidence
“a global customer base segmented into three primary categories: Cloud and AI Titans, AI and Specialty Providers, and Enterprise.”

Reliance on distributors, systems integrators and value-added resellers

Arista relies on distributors, systems integrators and value-added resellers to sell its products

92%
Source evidence
“we rely on distributors, systems integrators and value-added resellers to sell our products;”

Etherlink AI networking portfolio

Over 20 Etherlink products for AI Scale Out/Scale Across incl. 7800R AI Spine, 7060 AI Leaf, 7700R4 DES; 800G switches

96%
Source evidence
“The Arista Etherlink portfolio comprises a family of over twenty products designed to support the diverse range of AI Scale Out and Scale Across use cases today and Scale Up in the future.”

Product revenue composition

Switching and routing products and related network applications

96%
Source evidence
“Product revenue primarily consists of sales of our switching and routing products, and related network applications.”

Software: NetDL, CloudVision, AVA, Zero Trust, A-Care

NetDL data lake, CloudVision AI Ops, AVA agentic AI assist, zero trust security solutions, A-Care support services

95%
Source evidence
“CloudVision is Arista’s modern, multi-domain AI Ops and management platform that leverages cloud networking principles to deliver a simplified end-to-end network operations experience for our Enterprise market.”

Core, Cognitive Adjacencies, Cognitive Networks offerings

Offerings span Core (AI, Cloud, DC networking), Cognitive Adjacencies (Campus and Routing), Cognitive Networks (Software and Services)

95%
Source evidence
“offerings spanning three key categories: Core (AI, Cloud, and Data Center Networking), Cognitive Adjacencies (Campus and Routing), and Cognitive Networks (Software and Services).”

Campus and SD-WAN portfolio

Cognitive campus portfolio (spine/PoE switches, Wi-Fi APs) managed via CloudVision plus newly added VeloCloud SD-WAN

95%
Source evidence
“Recently, we also added the VeloCloud SD-WAN portfolio, which complements our wired and wireless campus portfolio by enhancing the branch center by providing leading cloud-delivered SD-WAN solutions with integrated security.”

EOS operating system

EOS runs on standard Linux with centralized system database, publish/subscribe model, module independence and self-healing resiliency

95%
Source evidence
“The core of our cloud networking-as-a-service platform is our data-driven operating system, EOS®, which runs on top of standard Linux and offers programmability at all layers of the stack.”

Substantially all product revenue from switching and routing platforms

Expectation to continue deriving substantially all product revenue from switching and routing platforms for the foreseeable future

95%
Source evidence
“our expectation that we will continue to derive substantially all of our product revenue from sales of our switching and routing platforms for the foreseeable future;”

Cloud-Grade Routing platforms

7280R4, 7500R3, 7800R4 routing platforms with DWDM, wire-speed encryption for DCI, peering, VPNs, core routing

93%
Source evidence
“Our 7280R4 Universal Leaf and 7500R3 and 7800R4 Universal Spine platforms serve a variety of use cases, including high-speed multi-cloud connect, Data Center Interconnect (DCI), controller-based traffic engineering, peering, business VPNs, core routing, and secure enterprise edge routing.”

New product families introduced

800 GbE AI-focused Ethernet products and AI-Driven Campus and Branch Networking Offerings.

90%
Source evidence
“with our most recently introduced 800 GbE, AI focused Ethernet products and AI-Driven Campus and Branch Networking Offerings”

Revenue by geography FY2025 vs FY2024

FY2025: Americas $7,122.1M (79.1%), EMEA $1,070.3M (11.9%), APAC $813.3M (9.0%); FY2024: Americas $5,729.0M (81.8%), EMEA $713.2M (10.2%), APAC $560.9M (8.0%)

98%
Source evidence
“Americas$7,122.1 79.1 %$5,729.0 81.8 % Europe, Middle East and Africa 1,070.3 11.9 713.2 10.2 Asia-Pacific 813.3 9.0 560.9 8.0”

Revenue mix by customer category FY2025

FY2025: ~48% Cloud and AI Titans, 32% Enterprise, 20% AI and Specialty Providers

97%
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans, 32% from Enterprise and 20% from AI and Specialty Providers.”

Revenue mix by product category FY2025

FY2025: ~65% Core (AI, Cloud, Data Center Networking), 18% Cognitive Adjacencies (Campus and Routing), 17% Cognitive Networks (Software and Services)

95%
Source evidence
“The percentage of revenue derived from these product categories during the current fiscal year was approximately 65% from Core, 18% from Cognitive Adjacencies, and 17% from Software and Services.”

Operations and dependencies

Spare parts logistics via third-party suppliers

Spare parts stocked in over 200 locations worldwide through third-party logistics suppliers

90%
Source evidence
“We stock spare parts in over 200 locations worldwide through our third-party logistics suppliers.”

Predominant merchant silicon vendor Broadcom for switching chips

Primarily reliant upon Broadcom for switching chips; product development depends on continued collaboration with key merchant silicon vendors

98%
Source evidence
“we are primarily reliant upon our predominant merchant silicon vendor, Broadcom, for our switching chips.”

Reliance on contract manufacturers and merchant silicon vendors

Cost of product revenue includes amounts paid to third-party contract manufacturers and merchant silicon vendors

95%
Source evidence
“Cost of product revenue primarily consists of amounts paid for inventory to our third-party contract manufacturers and merchant silicon vendors”

Sole source supplier risk

Reliance on sole source suppliers; supplier credit/insolvency could disrupt supply chain.

90%
Source evidence
“confronting our key suppliers, including our sole source suppliers, which could disrupt our supply chain”

Positioning and strategy

Open standards avoid vendor lock-in

Differentiation via reliability, open standards avoiding expensive vendor lock-in, telemetry/automation, and merchant silicon

93%
Source evidence
“are based on advanced open and standards-based technology that avoids what is often expensive vendor lock-in”

Named competitors in data center and campus networking

Cisco (historical dominator), Dell/EMC, Extreme Networks, HPE, Huawei, Nvidia, and white box vendors.

97%
Source evidence
“The data center and campus networking markets have been historically dominated by Cisco, with competition also coming from other large network equipment and system vendors, including Dell/EMC, Extreme Networks, Hewlett Packard Enterprise, Huawei, Nvidia and white box networking vendors utilizing open-source operating systems.”

AI workloads drive network requirements

AI jobs distributed across hundreds or thousands of XPUs demand high-bandwidth, lossless, power-efficient networks

93%
Source evidence
“a typical AI job involves large, sparse matrix math, distributed across hundreds or thousands of AI accelerators (XPU, GPU, TPU, etc.) with intense computations for a period of time.”

AI-enabled solution deployment drives networking demand

AI infrastructure investment by large customers has driven increased networking demand, though long-term trajectory is uncertain

90%
Source evidence
“although the focus on deployment of AI-enabled solutions has driven increased demand for networking, the long-term trajectory remains unknown.”

AI networking domains: Scale Up, Scale Out, Scale Across

AI opportunity across Scale Up (Ethernet ESUN), Scale Out (Ultra Ethernet replacing InfiniBand), and Scale Across domains

94%
Source evidence
“The industry trend toward replacing legacy, proprietary approaches, such as InfiniBand, with Ethernet, as defined by the Ultra Ethernet Consortium, creates an opportunity for us to gain share while enabling customers to scale from thousands to a million XPUs and beyond.”

Leader in high-speed Ethernet switching

Market research confirms leadership in high-speed Ethernet switching

95%
Source evidence
“Market research confirms that we continue to be a leader in high-speed Ethernet switching.”

Growth strategy: R&D investment and channel expansion

Grow via R&D investment, global sales force expansion, and deeper channel partnerships in cloud/AI/enterprise switching, routing, and campus markets

93%
Source evidence
“we must continue to expand our global sales force and deepen our channel partnerships to reach new customers more effectively and increase sales to existing customers.”

Expansion into adjacent markets

Adjacent market expansion: campus/Wi-Fi, AI networking, cloud and enterprise routing, network security, SD-WAN.

90%
Source evidence
“from time to time, we invest in expansion into adjacent markets, including campus and Wi-Fi networking, AI networking, cloud and enterprise routing markets, network security markets and SD-WAN markets.”

Expansion into AI, cloud, routing, campus, software and services markets

Plan to expand leadership in networking and into new markets such as AI, cloud, data center networking, routing, campus, software and services

90%
Source evidence
“our ability to expand our leadership position in the networking industry and to develop new products and expand our business into existing and new markets such as the artificial intelligence ("AI"), cloud, data center networking, routing, campus, software and services;”

Risks, financing, and outlook

Taiwan-China tension risk

Taiwan-China deterioration could trigger sanctions/export controls affecting sales and China sourcing.

88%
Source evidence
“Any deterioration in relations between Taiwan and China could lead to additional sanctions or export controls on China”

US export controls on semiconductors and AI

US semiconductor/supercomputing export controls (Oct 2022, expanded) may restrict China sales and IC sourcing; partially relaxed since May 2025.

90%
Source evidence
“the U.S. government continues to expand controls enacted in October 2022 restricting the ability to export, reexport and transfer certain products and technology related to semiconductors, semiconductor manufacturing, and supercomputing”

EU cybersecurity regulations (NIS2, DORA)

NIS2 (2023) and DORA (effective January 2025) impose cybersecurity/ICT risk obligations.

88%
Source evidence
“the Digital Operational Resiliency Act, or DORA, became effective in January 2025, and aims to establish a universal framework for managing and mitigating information and communication technology risks”

Chinese retaliatory export controls

China export controls on germanium and gallium, Micron-related controls, and unreliable entity list retaliation.

88%
Source evidence
“China has announced controls on both the use of Micron products and export controls on certain materials used, among other things, in the production of semiconductors, optical components, and other electronic devices including germanium and gallium”

Dependence on AI networking market growth

Revenue depends on AI networking market adoption; AI demand forecasts are volatile and customers may modify purchase commitments with little notice.

95%
Source evidence
“A substantial portion of our business and revenue depends on the growth and evolution of the networking market, including the market for AI networks and the future deployment of Ethernet networking solutions in these AI networks.”

Sole or limited source component supply

Key components come from sole or limited sources of supply, risking shortages and extended lead times

95%
Source evidence
“some of the key components in our products come from sole or limited sources of supply and increases the risk of supply shortages, extended lead times or supply changes;”

U.S. tariffs and retaliatory trade measures

Escalated or escalating U.S. tariffs and countermeasures by other countries may negatively affect the business

95%
Source evidence
“escalated or escalating United States (the "U.S.") tariffs as well as countermeasures and retaliatory actions taken by other countries, may have a negative effect on global economic conditions, financial markets and our business;”

Third-party manufacturing dependency

Arista depends on third-party manufacturers to build its products

95%
Source evidence
“we depend on third-party manufacturers to build our products;”

Large-customer demand volatility and AI spend mix shifts

Unpredictable timing of high-volume customer orders, AI-driven capex mix shifts, and long qualification periods create revenue variability

94%
Source evidence
“We have experienced unpredictability in the timing of orders from our high-volume customers, primarily due to the inherent complexity of large-scale orders and fluctuations in their specific demand.”

Tariff and trade-measure risk to supply chain and margins

Tariff uncertainty and supply chain inflation (including memory-market tightening) risk supply chain continuity and gross margins

94%
Source evidence
“supply chain inflation and material scarcity, such as the recent tightening of supply conditions in the memory market, have continued to put pressure on our gross margin. If tariff or non-tariff measures escalate... our gross margins could be further impacted.”

Industry consolidation among competitors

Competitor consolidation includes Cisco-Acacia, Broadcom-Brocade/VMware, Dell-Force10, HPE-Juniper, Nvidia AI Neocloud investments.

93%
Source evidence
“Cisco acquired Acacia Communications, Broadcom acquired Brocade Communications and VMware, Dell acquired Force10 Networks, Hewlett Packard Enterprise acquired Juniper Networks, and Nvidia has made significant investment in several AI Neoclouds.”

U.S. export controls targeting China trade

Enhanced export controls the U.S. has adopted targeting trade with China, and countermeasures, may negatively affect the business

92%
Source evidence
“enhanced export controls the U.S. has adopted targeting trade with China, as well as countermeasures taken by affected countries may negatively affect our business;”

AI Ethernet vs InfiniBand competition risk

AI Ethernet products must compete against more established InfiniBand products.

92%
Source evidence
“the successful adoption of AI Ethernet products will be dependent upon their ability to compete against more established InfiniBand products or against the AI Ethernet products of other competitors to address AI networking clusters.”

Deferred revenue volatility from trials and acceptance periods

AI-era customer trials/acceptance contracts increase deferred revenue volatility; acceptance failures may cause returns and inventory write-downs

92%
Source evidence
“This has resulted in increased customer trials and contracts with acceptance periods, and an increase in the volatility and magnitude of our product deferred revenue balances”

Cyclicality of industry and revenue volatility

Industry cyclicality may cause revenue fluctuations and results vary significantly and unpredictably

90%
Source evidence
“industry cyclicality may cause fluctuations in our revenue;”

Pricing pressure from intense competition

Competition has driven increased pricing pressure, risking reduced margins and market share.

90%
Source evidence
“This competition has resulted in increased pricing pressure, which could result in reduced profit margins”

Deferred revenue volatility from acceptance clauses

Increased customer trials and acceptance periods raise deferred revenue volatility and quarterly revenue variability.

90%
Source evidence
“an increase in the volatility and magnitude of our product deferred revenue balances, which in turn may create variability in our revenue results on a quarterly and annual basis”

Geopolitical supply chain risks (Russia-Ukraine, pandemics)

Supply chain could be disrupted by trade measures, Russia-Ukraine conflicts or global pandemics

88%
Source evidence
“the escalating tariff and non-tariff-related international trade measures, the Russia-Ukraine conflicts or the impact of global pandemics;”

Customer AI prioritization shifts spend away from non-AI capex

Customers' AI prioritization has come with cost reduction in non-AI capital expenditures, which could negatively impact revenue

88%
Source evidence
“This prioritization of AI related infrastructure investment has at times come in conjunction with the announcement of various cost reduction measures by such customers, including optimization and increased efficiency in non-AI related capital expenditures, which could negatively impact our revenue.”

AI regulatory and liability risk

AI use (e.g., Arista Guardian for Network Identity) carries legal, ethical, reputational and IP risks under uncertain regulation.

87%
Source evidence
“We use machine learning and AI technologies in our offerings and business, including in our Arista Guardian for Network Identity offering”

Stock price volatility risk

Stock price subject to wide fluctuations driven by guidance, growth rate, supply constraints, large customer purchases and litigation.

85%
Source evidence
“The trading price of our common stock has historically been and is likely to continue to be volatile and could be subject to wide fluctuations”

Material exposure graph

Broadcom
Supplier Dependency

Arista is primarily reliant on Broadcom for its switching chips; product development depends on continued collaboration and supply of merchant silicon on commercially reasonable terms.

Relevance 95·Dependency 90·Confidence 98
Source evidence
“we are primarily reliant upon our predominant merchant silicon vendor, Broadcom, for our switching chips.”
Artificial Intelligence
Demand Driver

Generative, agentic, and physical AI workloads requiring high-bandwidth lossless networks across Scale Up/Out/Across drive Arista's Etherlink AI portfolio demand.

Relevance 95·Dependency 85·Confidence 94
Source evidence
“The rapid expansion of generative, agentic, and physical AI computing and distributed applications is blurring the lines between frontend and backend AI, Cloud, and Data Centers.”
Cloud and AI Titans
Customer Exposure

Cloud and AI Titans contributed ~48% of FY2025 revenue; order timing and AI/non-AI capex mix shifts at these large customers drive revenue volatility and margin pressure from volume discounts.

Relevance 95·Dependency 85·Confidence 96
Source evidence
“The percentage of revenue derived from these customers during the current fiscal year was approximately 48% from Cloud and AI Titans”
Artificial Intelligence
Demand Driver

Generative and agentic AI models have driven increased demand for Arista's networking products, though long-term trajectory is uncertain and customers may cancel or modify AI build-out commitments.

Relevance 95·Dependency 85·Confidence 95
Source evidence
“recent technologies, such as generative and agentic AI models, have emerged, and while they have driven increased demand for networking, the market is rapidly changing, and the long-term trajectory is unknown.”
Large end customers
Customer Exposure

Two large end customers accounted for 16% and 26% of FY2025 revenue; order timing volatility and capex shifts create quarter-to-quarter revenue fluctuations.

Relevance 95·Dependency 85·Confidence 98
Source evidence
“sales to one end customer represented 16%, 15%, and 21% of our total revenue, and sales to the other end customer represented 26%, 20%, and 18% of our total revenue for the years ended December 31, 2025, 2024, and 2023, respectively.”
Cloud and AI Titans
Demand Driver

Cloud titans and AI Neocloud providers pioneer large-scale data/AI centers and set the benchmark; Arista enables hyperscalers' most consequential networks.

Relevance 92·Dependency 80·Confidence 90
Source evidence
“Public cloud titans and, more recently, AI Neocloud providers have been at the forefront of this evolution, pioneering the development of large-scale data and AI centers”
AI infrastructure investment
Demand Driver

AI-enabled deployment focus drives increased networking demand and the expansion of generative and agentic AI, though long-term trajectory is unknown and mix shifts create volatility.

Relevance 92·Dependency 70·Confidence 94
Source evidence
“although the focus on deployment of AI-enabled solutions has driven increased demand for networking, the long-term trajectory is unknown”
Artificial Intelligence
Demand Driver

Customer deployment of AI-enabled solutions has driven increased demand for Arista networking, though long-term trajectory remains unknown.

Relevance 90·Dependency 60·Confidence 90
Source evidence
“although the focus on deployment of AI-enabled solutions has driven increased demand for networking, the long-term trajectory remains unknown.”
Third-party contract manufacturers
Supplier Dependency

Product cost of revenue depends on third-party contract manufacturers; management is actively working with them to optimize supply chain amid tariff uncertainty, and excess/obsolete inventory and supplier liability charges are a margin risk.

Relevance 85·Dependency 85·Confidence 94
Source evidence
“Management is actively working with contract manufacturers and suppliers to optimize our supply chain in response to evolving international trade policies and tariff uncertainties.”
Cloud Computing
Demand Driver

Enterprises and service providers adopt hyperscale cloud networking principles for performance and cost reduction, driving demand for Arista platforms.

Relevance 85·Dependency 70·Confidence 90
Source evidence
“Enterprises and service providers worldwide are therefore adopting these hyperscale technologies and principles for their own network operations to achieve similar performance, operational efficiencies, and cost reductions.”
AI infrastructure build-outs
Customer Exposure

Arista's revenue depends on customer AI build-out demand; customers may overestimate AI demand and cancel, delay, reduce or modify purchase commitments with little or no notice.

Relevance 85·Dependency 70·Confidence 90
Source evidence
“Customers may overestimate demand for their AI build outs and cancel, delay, reduce or otherwise modify their purchase commitments with little or no notice to us.”
Cisco
Competitive Exposure

Data center and campus networking markets have been historically dominated by Cisco, which competes against Arista and has expanded via acquisitions.

Relevance 85·Dependency 60·Confidence 95
Source evidence
“The data center and campus networking markets have been historically dominated by Cisco”
U.S. tariffs
Regulatory Exposure

Escalating U.S. tariffs and retaliatory countermeasures may affect global economic conditions and Arista's business, including supply chain costs.

Relevance 85·Dependency 60·Confidence 92
Source evidence
“escalated or escalating United States (the "U.S.") tariffs as well as countermeasures and retaliatory actions taken by other countries, may have a negative effect on global economic conditions, financial markets and our business;”
Merchant silicon
Raw Material Dependency

Merchant silicon vendors are a key input; merchant silicon costs are explicitly cited as a gross margin factor.

Relevance 80·Dependency 80·Confidence 92
Source evidence
“inflationary pressure and scarcity of materials in our supply chain, merchant silicon costs”
Enterprise
Revenue Exposure

Enterprise segment targeted with CloudVision AI Ops, campus, routing, and zero trust offerings; campus redefined post-pandemic with IoT device proliferation.

Relevance 80·Dependency 65·Confidence 90
Source evidence
“CloudVision enables consistent, zero-touch network operations across data centers, campus wired and wireless networks, routing interconnects, and multi-cloud networks”
Ethernet for Scale Up Networks (ESUN)
Technology Dependency

Arista sees incremental opportunity as the market shifts toward open Ethernet standards (ESUN, Ultra Ethernet) replacing proprietary Scale Up interconnects and InfiniBand.

Relevance 80·Dependency 60·Confidence 85
Source evidence
“We believe Scale Up represents a future incremental opportunity as the market shifts toward open standards like Ethernet for Scale Up Networks (ESUN).”
Nvidia
Competitive Exposure

Nvidia is a competitor in AI networking whose InfiniBand products and investments in AI Neoclouds compete with Arista's AI Ethernet offerings.

Relevance 80·Dependency 60·Confidence 93
Source evidence
“Nvidia has made significant investment in several AI Neoclouds”
Tariffs / trade measures
Geopolitical Exposure

Escalating international trade measures and tariff uncertainty pose risk to supply chain continuity and product costs; failure to pass on costs would hit gross margins.

Relevance 80·Dependency 60·Confidence 93
Source evidence
“If tariff or non-tariff measures escalate, and/or if supply conditions worsen and we are unable to pass on these costs to customers, our gross margins could be further impacted.”
U.S. export controls targeting China
Regulatory Exposure

Enhanced U.S. export controls targeting trade with China, and countermeasures by affected countries, may negatively affect Arista's business.

Relevance 80·Dependency 55·Confidence 90
Source evidence
“enhanced export controls the U.S. has adopted targeting trade with China, as well as countermeasures taken by affected countries may negatively affect our business;”
InfiniBand
Competitive Exposure

Industry trend toward replacing InfiniBand with Ethernet creates share-gain opportunity for Arista in AI Scale Out networking.

Relevance 78·Dependency 50·Confidence 85
Source evidence
“The industry trend toward replacing legacy, proprietary approaches, such as InfiniBand, with Ethernet, as defined by the Ultra Ethernet Consortium, creates an opportunity for us to gain share”
China
Geopolitical Exposure

US export controls may restrict sales to China and IC usage, while Chinese retaliation (Micron controls, unreliable entity list, material export controls) could disrupt sourcing from China.

Relevance 75·Dependency 55·Confidence 90
Source evidence
“These controls or any additional restrictions may impact our ability to export certain products to China or other countries, prohibit us from selling our products to certain of our customers, restrict our ability to use certain ICs in our products”
InfiniBand
Technology Dependency

Adoption of Arista's AI Ethernet products depends on their ability to compete against more established InfiniBand products.

Relevance 75·Dependency 50·Confidence 90
Source evidence
“their ability to compete against more established InfiniBand products”
Enterprise
Customer Exposure

Enterprise customers contributed ~32% of FY2025 revenue; management notes macroeconomic instability could negatively affect enterprise demand.

Relevance 75·Dependency 45·Confidence 93
Source evidence
“broader macroeconomic instability could negatively affect demand, particularly within the enterprise market”
US export controls on semiconductors and AI
Regulatory Exposure

Expanding US semiconductor and AI-related export controls could restrict Arista's exports, customer sales and IC sourcing; January 2025 AI licensing rules were rescinded but new controls may follow.

Relevance 70·Dependency 55·Confidence 90
Source evidence
“we expect the U.S. government may issue new controls on similar technologies in the future”
Broadcom
Competitive Exposure

Merchant silicon vendors such as Broadcom may become competitive by selling merchant silicon for white boxes with open-source network operating systems to Arista's customers.

Relevance 70·Dependency 50·Confidence 85
Source evidence
“these vendors may not collaborate with us or may become competitive with us by selling merchant silicon for “white boxes” with open-source network operating systems or other products to our customers.”
Distributors, systems integrators and value-added resellers
Demand Driver

Arista relies on distributors, systems integrators and value-added resellers to sell products and is exposed to their credit risk; channel leverage is a strategic growth priority.

Relevance 65·Dependency 55·Confidence 90
Source evidence
“we rely on distributors, systems integrators and value-added resellers to sell our products;”
Cybersecurity
Demand Driver

Cyber threats drive demand for Arista's zero trust network security solutions aligned to the CISA Zero Trust Maturity Model.

Relevance 65·Dependency 50·Confidence 85
Source evidence
“Zero trust architectures aim to mitigate the risks posed by cyber threats by eliminating the assumption that a device is trusted simply because it is on the “internal” network.”
Third-party logistics suppliers
Supplier Dependency

Spare parts for A-Care support services are stocked in over 200 locations via third-party logistics suppliers.

Relevance 60·Dependency 55·Confidence 85
Source evidence
“We stock spare parts in over 200 locations worldwide through our third-party logistics suppliers.”
Russia-Ukraine conflicts
Geopolitical Exposure

The Russia-Ukraine conflicts are cited as geopolitical events that could impact Arista's manufacturers or their suppliers and ability to fulfill customer orders.

Relevance 60·Dependency 40·Confidence 85
Source evidence
“the escalating tariff and non-tariff-related international trade measures, the Russia-Ukraine conflicts or the impact of global pandemics;”
Germanium and gallium
Supplier Dependency

Chinese export controls on germanium and gallium, materials used in semiconductors and optical components, could impact component sourcing and input costs for Arista's products.

Relevance 55·Dependency 45·Confidence 85
Source evidence
“export controls on certain materials used, among other things, in the production of semiconductors, optical components, and other electronic devices including germanium and gallium”
Full company information
Latest profile, trading, valuation, and identifier data stored for ANET.
Share price
$215.36
Market cap
$271.17B
Exchange
NYSE
Currency
USD
CEO
Jayshree V. Ullal
Employees
5,115
IPO date
06/06/2014
Beta
1.604
Last dividend
$0.00
Day range
$207.24 – $216.07
52-week range
$114.52 – $216.07
1-day performance
4.09%
1-year performance
88.05%
Current drawdown (1Y)
-0.33%
CIK
0001596532
CUSIP
040413205
ISIN
US0404132054
Created
07/12/2025, 02:05:24
Last update
07/10/2026, 03:42:21

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