Arista Networks, Inc. (ANET)
SIC breadcrumb: Manufacturing > Industrial And Commercial Machinery And Computer Equipment > SIC 3576 Computer Communications Equipment
SEC company page: https://www.sec.gov/edgar/browse/?CIK=1596532. Latest filing source: 0001596532-26-000013.
Informational only. Descriptive public-record data — not a rating, forecast, or investment advice. See Disclaimer.
At a glance
- Revenue
- 9,005,700,000 USD verified
- Net income
- 3,511,400,000 USD verified
- Assets
- 19,448,600,000 USD verified
- Free cash flow
- 4,252,400,000 USD computed
- Net margin
- 38.99% computed
- Operating margin
- 42.82% computed
- Revenue YoY
- +28.60% computed
- ROE
- 28.39% computed
Peer & cluster context
Peer percentile fingerprint
Percentile = share of the N covered peers reporting that ratio whose value is lower (ties counted half); computed among grepcent-covered companies in SIC major-group 35 Industrial And Commercial Machinery And Computer Equipment, not the whole market. A higher percentile means a higher value of the ratio, not a better company. Ratios with fewer than 8 reporting peers are omitted. Latest reported values per company; fiscal periods may differ. Descriptive arithmetic - not a score, rating, or ranking.
Selected Fundamentals
| Metric | Value | Unit | FY | Filed |
|---|---|---|---|---|
| Revenue | 9,005,700,000 | USD | 2025 | 2026-02-17 |
| Net income | 3,511,400,000 | USD | 2025 | 2026-02-17 |
| Assets | 19,448,600,000 | USD | 2025 | 2026-02-17 |
Financials
Annual standardized facts from SEC companyfacts as of latest extracted filing date 2026-02-17. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001596532.json. Derived margins, ratios, and free cash flow are computed from the extracted annual SEC facts.
| Metric | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|
| Revenue | 1,129,167,000 | 1,646,186,000 | 2,151,369,000 | 2,410,706,000 | 2,317,512,000 | 2,948,037,000 | 4,381,310,000 | 5,860,200,000 | 7,003,100,000 | 9,005,700,000 |
| Net income | 184,189,000 | 423,201,000 | 328,115,000 | 859,867,000 | 634,557,000 | 840,854,000 | 1,352,446,000 | 2,087,300,000 | 2,852,100,000 | 3,511,400,000 |
| Operating income | 243,409,000 | 470,272,000 | 273,347,000 | 805,774,000 | 699,684,000 | 924,739,000 | 1,527,106,000 | 2,257,300,000 | 2,944,600,000 | 3,856,100,000 |
| Gross profit | 723,116,000 | 1,061,769,000 | 1,373,377,000 | 1,544,338,000 | 1,481,886,000 | 1,880,779,000 | 2,675,696,000 | 3,630,300,000 | 4,491,300,000 | 5,768,700,000 |
| Diluted EPS | 2.50 | 5.35 | 4.06 | 2.66 | 2.00 | 2.63 | 1.07 | 1.65 | 2.23 | 2.75 |
| Operating cash flow | 174,295,000 | 631,627,000 | 503,119,000 | 963,034,000 | 735,114,000 | 1,015,856,000 | 492,813,000 | 2,034,000,000 | 3,708,200,000 | 4,371,900,000 |
| Capital expenditures | 23,830,000 | 15,751,000 | 15,384,000 | 64,736,000 | 44,644,000 | 34,400,000 | 32,000,000 | 119,500,000 | ||
| Share buybacks | 0.00 | 0.00 | 266,142,000 | 395,173,000 | 411,645,000 | 670,287,000 | 112,300,000 | 423,600,000 | 1,603,100,000 | |
| Assets | 1,729,007,000 | 2,460,860,000 | 3,081,983,000 | 4,185,290,000 | 4,738,919,000 | 5,734,429,000 | 6,775,410,000 | 9,956,635,000 | 14,043,900,000 | 19,448,600,000 |
| Liabilities | 621,187,000 | 798,946,000 | 938,594,000 | 1,290,604,000 | 1,418,628,000 | 1,755,829,000 | 1,889,590,000 | 2,737,576,000 | 4,049,100,000 | 7,078,100,000 |
| Stockholders' equity | 1,107,820,000 | 1,661,914,000 | 2,143,389,000 | 2,894,686,000 | 3,320,291,000 | 3,978,600,000 | 4,885,800,000 | 7,219,000,000 | 9,994,800,000 | 12,370,500,000 |
| Cash and cash equivalents | 567,923,000 | 859,192,000 | 649,950,000 | 1,111,286,000 | 893,219,000 | 620,813,000 | 671,707,000 | 1,938,606,000 | 2,762,400,000 | 1,963,900,000 |
| Free cash flow | 479,289,000 | 947,283,000 | 719,730,000 | 951,120,000 | 448,169,000 | 1,999,600,000 | 3,676,200,000 | 4,252,400,000 |
Ratios
| Metric | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 |
|---|---|---|---|---|---|---|---|---|---|---|
| Net margin | 16.31% | 25.71% | 15.25% | 35.67% | 27.38% | 28.52% | 30.87% | 35.62% | 40.73% | 38.99% |
| Operating margin | 21.56% | 28.57% | 12.71% | 33.42% | 30.19% | 31.37% | 34.86% | 38.52% | 42.05% | 42.82% |
| Return on equity | 16.63% | 25.46% | 15.31% | 29.71% | 19.11% | 21.13% | 27.68% | 28.91% | 28.54% | 28.39% |
| Return on assets | 10.65% | 17.20% | 10.65% | 20.54% | 13.39% | 14.66% | 19.96% | 20.96% | 20.31% | 18.05% |
| Liabilities / equity | 0.56 | 0.48 | 0.44 | 0.45 | 0.43 | 0.44 | 0.39 | 0.38 | 0.41 | 0.57 |
| Current ratio | 3.32 | 4.28 | 4.48 | 5.81 | 4.99 | 4.34 | 4.29 | 4.38 | 4.36 | 3.05 |
Industry Peer Context
Net margin peer context
Operating margin peer context
ROE peer context
ROA peer context
Financial Bridges
Income statement bridge from reported figures
Figure provenance: SEC companyfacts FY 2025. Revenue: accession 0001596532-26-000013; concept RevenueFromContractWithCustomerExcludingAssessedTax; source concepts us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax | Gross profit: accession 0001596532-26-000013; concept GrossProfit; source concepts us-gaap:GrossProfit | Operating income: accession 0001596532-26-000013; concept OperatingIncomeLoss; source concepts us-gaap:OperatingIncomeLoss | Net income: accession 0001596532-26-000013; concept NetIncomeLoss; source concepts us-gaap:NetIncomeLoss
Free cash flow = operating cash flow - capital expenditures
Figure provenance: SEC companyfacts FY 2025. Operating cash flow: accession 0001596532-26-000013; concept NetCashProvidedByUsedInOperatingActivities; source concepts us-gaap:NetCashProvidedByUsedInOperatingActivities | Capital expenditures: accession 0001596532-26-000013; concept PaymentsToAcquireProductiveAssets; source concepts us-gaap:PaymentsToAcquireProductiveAssets | Free cash flow: accession 0001596532-26-000013; concept NetCashProvidedByUsedInOperatingActivities - PaymentsToAcquireProductiveAssets; source concepts us-gaap:NetCashProvidedByUsedInOperatingActivities; us-gaap:PaymentsToAcquireProductiveAssets
Financial Charts
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: RevenueFromContractWithCustomerExcludingAssessedTax. Source concepts: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: NetIncomeLoss. Source concepts: us-gaap:NetIncomeLoss.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: OperatingIncomeLoss. Source concepts: us-gaap:OperatingIncomeLoss.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: GrossProfit. Source concepts: us-gaap:GrossProfit.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: EarningsPerShareDiluted. Source concepts: us-gaap:EarningsPerShareDiluted.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: NetCashProvidedByUsedInOperatingActivities. Source concepts: us-gaap:NetCashProvidedByUsedInOperatingActivities.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: PaymentsToAcquireProductiveAssets. Source concepts: us-gaap:PaymentsToAcquireProductiveAssets.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: PaymentsForRepurchaseOfCommonStock. Source concepts: us-gaap:PaymentsForRepurchaseOfCommonStock.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: Assets. Source concepts: us-gaap:Assets.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: Liabilities. Source concepts: us-gaap:Liabilities.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: StockholdersEquity. Source concepts: us-gaap:StockholdersEquity.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: CashAndCashEquivalentsAtCarryingValue. Source concepts: us-gaap:CashAndCashEquivalentsAtCarryingValue.
Figure provenance: SEC companyfacts. Latest point: FY 2025 ended 2025-12-31; accession 0001596532-26-000013; filed 2026-02-17. Concept: NetCashProvidedByUsedInOperatingActivities - PaymentsToAcquireProductiveAssets. Source concepts: us-gaap:NetCashProvidedByUsedInOperatingActivities; us-gaap:PaymentsToAcquireProductiveAssets.
As-reported value updates
Quarterly
Quarterly standardized facts from SEC companyfacts as of latest extracted filing date 2026-08-05. Source: https://data.sec.gov/api/xbrl/companyfacts/CIK0001596532.json.
| Quarter | End Date | Revenue | Net Income | Diluted EPS | Method |
|---|---|---|---|---|---|
| 2022-Q3 | 2022-09-30 | 1.13 | reported discrete quarter | ||
| 2023-Q1 | 2023-03-31 | 1.38 | reported discrete quarter | ||
| 2023-Q2 | 2023-06-30 | 1.55 | reported discrete quarter | ||
| 2023-Q3 | 2023-09-30 | 1,509,456,000 | 545,327,000 | 1.72 | reported discrete quarter |
| 2023-Q4 | 2023-12-31 | 1,540,437,000 | 613,636,000 | derived Q4 = FY annual - nine-month YTD | |
| 2024-Q1 | 2024-03-31 | 1,571,374,000 | 637,692,000 | 1.99 | reported discrete quarter |
| 2024-Q2 | 2024-06-30 | 1,690,400,000 | 665,428,000 | 2.08 | reported discrete quarter |
| 2024-Q3 | 2024-09-30 | 1,810,936,000 | 747,938,000 | 2.33 | reported discrete quarter |
| 2024-Q4 | 2024-12-31 | 1,930,436,000 | 800,996,000 | derived Q4 = FY annual - nine-month YTD | |
| 2025-Q1 | 2025-03-31 | 2,004,800,000 | 813,800,000 | 0.64 | reported discrete quarter |
| 2025-Q2 | 2025-06-30 | 2,204,800,000 | 888,800,000 | 0.70 | reported discrete quarter |
| 2025-Q3 | 2025-09-30 | 2,308,300,000 | 853,000,000 | 0.67 | reported discrete quarter |
| 2025-Q4 | 2025-12-31 | 2,487,800,000 | 955,800,000 | derived Q4 = FY annual - nine-month YTD | |
| 2026-Q1 | 2026-03-31 | 2,709,000,000 | 1,022,900,000 | 0.80 | reported discrete quarter |
| 2026-Q2 | 2026-06-30 | 3,035,700,000 | 1,212,900,000 | 0.95 | reported discrete quarter |
Quarterly Charts
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0001596532-26-000175; filed 2026-08-05. Concept: RevenueFromContractWithCustomerExcludingAssessedTax. Source concepts: us-gaap:RevenueFromContractWithCustomerExcludingAssessedTax.
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0001596532-26-000175; filed 2026-08-05. Concept: NetIncomeLoss. Source concepts: us-gaap:NetIncomeLoss.
Figure provenance: SEC companyfacts. Latest point: FY 2026 ended 2026-06-30; accession 0001596532-26-000175; filed 2026-08-05. Concept: EarningsPerShareDiluted. Source concepts: us-gaap:EarningsPerShareDiluted.
Business
Read ANET's verbatim Item 1 Business section from its latest 10-K: Business.
Risk Factors
Read ANET's verbatim Item 1A Risk Factors from its latest 10-K: Risk Factors.
Latest quarter (10-Q)
Latest 10-Q source: 0001596532-26-000175.
Item 2. Management’s Discussion and Analysis of Financial Condition and Results of Operations
You should read the following discussion and analysis of our financial condition and results of operations together with the unaudited condensed consolidated financial statements and related notes that are included elsewhere in this Quarterly Report on Form 10-Q, and our Annual Report on Form 10-K filed with the SEC. This Quarterly Report on Form 10-Q contains forward-looking statements based upon current plans, expectations and beliefs that involve risks and uncertainties. The words “believe,” “may,” “will,” “potentially,” "likely" “estimate,” “continue,” “anticipate,” “intend,” “could,” “would,” "should", “project,” “plan,” “predict,” “expect,” the negative of any of these words and similar expressions that convey uncertainty of future events or outcomes are intended to identify forward-looking statements. These forward-looking statements include, but are not limited to statements concerning the following: our ability to retain and increase sales to existing customers and attract new customers, including large and government customers; our expectation that we will derive substantially all of our product revenue from sales of our switching and routing platforms for the foreseeable future; our relationships with and expectations concerning third parties, including, but not limited to our large customers, suppliers, distributors, systems integrators, channel partners and value-added resellers; our expectations regarding the growth of our revenue, including variability in sales and revenue concentration and timing, and the development and sale of next-generation versions of our switches; our plans to continue to expand our sales force, marketing activities and relationships with channel, technology and system-level partners; our expectation that our sales and marketing expenses will increase in absolute dollars as we expand our sales and marketing efforts worldwide; our expectation that our results of operations will vary from period to period, including the potential impact on our results of operations of the timing and size of our investments to introduce new products and services and to enhance our existing platform; our expectations related to our inventory and purchase commitments; the potential impacts of tightening supply conditions and our ability to manage such supply chain constraints, particularly in the memory and silicon markets; actions we might take related to our supply of components, such as our expectation that we will continue to issue non-cancellable and non-returnable purchase orders; our expectation that our gross margin will fluctuate over time and the factors influencing such expectation; our plans to invest in the business, including in research and development; market trends, including our expectation that large system vendors will continue to combine cloud-focused hardware and software solutions as an alternative to our products; our expectation of increased competition and our ability to compete effectively; our expectation that our business will continue to be subject to new and changing legal and regulatory obligations, particularly related to AI, privacy, data protection, cybersecurity and the environment; our belief that no potential litigation-related liabilities are likely to have a material adverse effect on our financial position, results of operations or cash flows; our belief that we will not pay any cash dividends in the foreseeable future; the potential amount of capital expenditures related to our new building in Santa Clara; and our belief that our existing cash, cash equivalents and marketable securities, together with cash flow from operations, will be sufficient to meet our working capital requirements and our growth strategies for the foreseeable future. The forward-looking statements made in this Quarterly Report on Form 10-Q relate only to events as of the date on which the statements are made. Our actual results may differ materially from those anticipated in these forward-looking statements as a result of various factors, including those set forth under “Risk Factors” and elsewhere in this Quarterly Report on Form 10-Q. We undertake no obligation to update any forward-looking statements made in this Quarterly Report on Form 10-Q to reflect events or circumstances after the date of this Quarterly Report on Form 10-Q or to reflect new information or the occurrence of unanticipated events, except as required by law. You should not place undue reliance on our forward-looking statements.
Overview
In a world where data is increasingly a precious commodity and competitive differentiator, Arista was founded to enable our customers to access all their centers of data in the quickest, most reliable, and secure manner. Over the last two decades, we have established ourselves as an industry leader in data-driven, client-to-cloud networking-as-a-service. Our “Centers of Data” strategy is a fundamental pivot from legacy, siloed networking 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. Anchored by Arista’s state-oriented Extensible Operating System (EOS) and Network Data Lake (NetDL), our network-as-a-service platform delivers a seamless, consolidated networking experience regardless of data location.
Our solutions are differentiated because they:
•offer uncompromising reliability derived from the foundation of robust quality assurance capabilities, and a suite of automated diagnostics;
•are based on advanced open and standards-based technology that avoids what is often expensive vendor lock-in, and
•provide consistent real-time telemetry and intelligent automation to decrease the manual workload on the operator.
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Table of Contents
Our strategic differentiation enables us to deliver a comprehensive suite of products and services on a global scale. Through our network-as-a-service approach, we empower customers to seamlessly leverage their data across our entire platform. By combining world-class engineering with continuous innovation, we provide the predictable performance and simplicity needed to turn data into a sustainable competitive advantage in today’s AI-driven world.
The market for cloud networking is characterized by rapid technological evolution, intensifying competition, and the expansion of generative and agentic AI. To sustain our success and adapt to the market, we must increase sales in cloud, AI and enterprise data center Ethernet switching/routing markets, and campus workspace markets by leveraging our ability to rapidly develop new features and software applications. Our growth strategy relies on maintaining our agility and increasing our investment in research and development to deliver market-leading features to enhance the functionality of our existing cloud networking platform, expand our product offerings and build upon our technology leadership. In addition, 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.
Historically, a limited number of customers have accounted for a significant portion of our revenue. Two of our customers accounted for more than 10% of our total revenue in each of the last three years. 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. 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. This includes reductions or shifts in their capital expenditure budgets, as well as the impact of their internal cost-reduction and efficiency initiatives. Furthermore, variability in customer concentration is driven by the timing of new product deployments, customer spending cycles, and the extensive periods required for evaluation, testing, and qualification. We expect this variability in concentration and sales timing to continue on both a quarterly and annual basis. Additionally, the pricing discounts typically required for these large-scale orders adversely impact our gross margins.
We believe an increased focus on the deployment of AI-enabled solutions by our large customers has accelerated the need for advanced technology offerings, including some offerings from potential new market entrants. This prioritization of AI related infrastructure investment has, at times, come in conjunction with a reduction or changes in the mix of previously planned purchases and various cost reduction measures by these customers, including optimization and increased efficiency in non-AI related capital expenditures. In addition, although the focus on deployment of AI-enabled solutions has driven increased demand for networking, the long-term trajectory is unknown. As such, demand estimates for our new products are difficult to forecast and can create volatility in our revenue. We remain in a period of new product introductions and expanded use cases, particularly in the AI Ethernet market. This has resulted in increased customer trials and contracts with acceptance periods, and an increase in the volatility and magnitude of our evaluation inventory and product deferred revenue balances, which in turn may create variability in our revenue results on a quarterly and annual basis. In addition, if we are not able to satisfy the requirements under customer trials or contracts with acceptance periods, we may be required to accept product returns from our customers, which would prevent us from recognizing revenue on such transactions and may result in the write-down of inventory.
Macroeconomic Update
Global economic and business activities continue to face widespread macroeconomic uncertainties, including the effects of, among other things, inflation, monetary policy shifts, recession risks, supply constraints and potential supply chain disruptions, changes in government administration policy positions, and geopolitical pressures, including the war in Iran and international trade measures and tariff uncertainty.
Management is actively collaborating with contract manufacturers and suppliers to optimize our supply chain in response to component constraints, evolving international trade policies, and tariff uncertainties. Ongoing supply constraints and future trade measures have and could continue to adversely affect our supply chain stability and increase our product costs. We are maintaining a disciplined fulfillment cadence to ensure reliable inventory deployment. As we build capacity to meet escalating demand, we are shipping products against previously committed demand/deployment plans and accelerating some shipments as needed. Simultaneously, we are balancing customers’ requirements and lead times against the availability and lead times of key components and products from our suppliers and contract manufacturers. Given the timing and prioritization of customer orders and shipment patterns, as well as the timing and outcome of customer trials and contracts with acceptance periods, near term revenue trends may not be reflective of current demand levels and may benefit from demand/deployment plans that have been previously committed.
In addition, we expect inventory and purchase commitments to remain elevated and subject to volatility as a result of new product introductions, shifts in customer demand, tightening supply conditions and fluctuations in supplier lead times. This volatility creates a heightened risk of excess or obsolete inventory and supplier liability charges. Simultaneously, supply chain inflation and material scarcity, such as the
[Excerpt truncated for page length; source filing is linked above.]
Latest 10-K MD&A (excerpt)
Latest 10-K Item 7 source: 0001596532-26-000013. The complete FY 2025 MD&A is published at /company/ANET/mda/fy2025/.
Item 7. Management’s Discussion and Analysis of Financial Condition and Results of Operations
You should read the following discussion and analysis of our financial condition and results of operations together with the consolidated financial statements and related notes that are included elsewhere in this Annual Report on Form 10-K. This discussion contains forward-looking statements based upon current plans, expectations and beliefs that involve risks and uncertainties. Our actual results may differ materially from those anticipated in these forward-looking statements as a result of various factors, including those set forth under “Risk Factors” and elsewhere in this Annual Report on Form 10-K.
Overview
In a world where data is increasingly a precious commodity and competitive differentiator, Arista was founded to enable our customers to access all their centers of data in the quickest, most reliable, and secure manner. Over the last two decades, we have emerged as an industry leader, delivering data-driven, client-to-cloud networking-as-a-service. 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. Anchored by Arista’s state-oriented Extensible Operating System (EOS) and Network Data Lake (NetDL), our network-as-a-service platform delivers a seamless, consolidated networking experience regardless of data location
Our solutions are differentiated because they:
•offer uncompromising reliability derived from the foundation of robust quality assurance capabilities, and a suite of automated diagnostics;
•are based on advanced open and standards-based technology that avoids what is often expensive vendor lock-in, and
•provide consistent real-time telemetry and intelligent automation to decrease the manual workload on the operator.
This strategy and differentiation have also allowed us to deliver our comprehensive suite of products, services, and technologies to a global customer base segmented into three primary categories: Cloud and AI Titans, AI and Specialty Providers, and Enterprise. Market research confirms that we continue to be a leader in high-speed Ethernet switching. 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.
Arista established itself as a market leader with platforms, products, and people to enable some of these hyperscalers’ most consequential networks. Our network-as-a-service approach now empowers customers of all sizes to seamlessly leverage their data through offerings spanning three key categories: Core (AI, Cloud, and Data Center Networking), Cognitive Adjacencies (Campus and Routing), and Cognitive Networks (Software and Services). 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. With world-class engineering expertise and platform innovation, our customers gain the predictable performance and operational simplicity required to turn data into a sustainable competitive advantage in a modern, AI-driven world.
The market for cloud networking is characterized by rapid technological evolution, intensifying competition, and the expansion of generative and agentic AI. To sustain our success and adapt to the market, we must increase sales in cloud, AI and enterprise data center Ethernet switching/routing markets, and campus workspace markets by leveraging our ability to rapidly develop new features and software applications. Our growth strategy relies on maintaining our agility and increasing our investment in research and development to deliver market-leading features to enhance the functionality of our existing cloud networking platform, expand our product offerings and build upon our technology leadership. In addition, 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.
Historically, a limited number of customers have accounted for a significant portion of our revenue. Two of our customers accounted for more than 10% of our total revenue in each of the last three years. 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. 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. This includes reductions or shifts in their capital expenditure budgets, as well as the impact of their internal cost-reduction and efficiency initiatives. Furthermore, variability in customer concentration is driven by the timing of new product deployments, customer spending cycles, and the extensive periods required for evaluation, testing, and qualification. We expect this variability in concentration and sales timing to continue on both a quarterly and annual basis.
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Additionally, the pricing discounts typically required for these large-scale orders often reduce gross margins in the periods when the sales occur.
We believe an increased focus on the deployment of AI-enabled solutions by our large customers has accelerated the need for advanced technology offerings, including some offerings from potential new market entrants. This prioritization and acceleration of AI related infrastructure investment has, at times, come in conjunction with a reduction or changes in the mix of previously planned purchases and various cost reduction measures by these customers, including optimization and increased efficiency in non-AI related capital expenditures. In addition, although the focus on deployment of AI-enabled solutions has driven increased demand for networking, the long-term trajectory is unknown. As such, demand estimates for our new products are difficult to forecast and can create volatility in our revenue. We remain in a period of new product introductions and expanded use cases, particularly in the AI Ethernet market. 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, which in turn may create variability in our revenue results on a quarterly and annual basis. In addition, if we are not able to satisfy the requirements under customer trials or contracts with acceptance periods, we may be required to accept product returns from our customers, which would prevent us from recognizing revenue on such transactions and may result in the write-down of inventory.
Macroeconomic Update
Global economic and business activities continue to face widespread macroeconomic uncertainties, including the effects of, among other things, inflation, monetary policy shifts, recession risks, potential supply chain disruptions, changes in government administration policy positions, and geopolitical pressures, including escalating international trade measures and tariff uncertainty.
Management is actively working with contract manufacturers and suppliers to optimize our supply chain in response to evolving international trade policies and tariff uncertainties. While we have not yet experienced significant disruptions, the potential for future trade measures remains a risk to our supply chain continuity and product costs. We are maintaining a disciplined fulfillment cadence to ensure reliable inventory deployment. As we build capacity to meet escalating demand, we are shipping products against previously committed demand/deployment plans and accelerating some deployments as needed. Simultaneously, we are balancing customers’ requirements and lead times against the availability and lead times of key components and products from our suppliers and contract manufacturers. Given the timing and prioritization of customer orders and shipment patterns, as well as the timing and outcome of customer trials and contracts with acceptance periods, near term revenue trends may not be reflective of current demand levels and may benefit from demand/deployment plans that have been previously committed.
In addition, we anticipate continued volatility in our inventory and purchase commitments as a result of new product introductions, shifts in customer demand, and fluctuations in supplier lead times. This volatility creates a heightened risk of excess or obsolete inventory and supplier liability charges. Simultaneously, 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, and/or if supply conditions worsen and we are unable to pass on these costs to customers, our gross margins could be further impacted. Additionally, broader macroeconomic instability could negatively affect demand, particularly within the enterprise market. Given these unpredictable factors, current financial conditions discussed herein may not be indicative of future operating results and trends.
Results of Operations
Year Ended December 31, 2025 Compared to Year Ended December 31, 2024
Revenue, Cost of Revenue and Gross Margin (in millions, except percentages)
53
| Year Ended December 31, | |||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | 2024 | Change in | |||||||||||||||||||
| $ | % of Revenue | $ | % of Revenue | $ | % | ||||||||||||||||
| Revenue | |||||||||||||||||||||
| Product | $ | 7,576.9 | 84.1 | % | $ | 5,884.0 | 84.0 | % | $ | 1,692.9 | 28.8 | % | |||||||||
| Service | 1,428.8 | 15.9 | 1,119.1 | 16.0 | 309.7 | 27.7 | |||||||||||||||
| Total revenue | 9,005.7 | 100.0 | 7,003.1 | 100.0 | 2,002.6 | 28.6 | |||||||||||||||
| Cost of revenue | |||||||||||||||||||||
| Product | 2,978.7 | 33.1 | 2,299.0 | 32.8 | 679.7 | 29.6 | |||||||||||||||
| Service | 258.3 | 2.8 | 212.8 | 3.1 | 45.5 | 21.4 | |||||||||||||||
| Total cost of revenue | 3,237.0 | 35.9 | 2,511.8 | 35.9 | 725.2 | 28.9 | |||||||||||||||
| Gross profit | $ | 5,768.7 | 64.1 | % | $ | 4,491.3 | 64.1 | % | $ | 1,277.4 | 28.4 | % | |||||||||
| Gross margin | 64.1 | % | 64.1 | % |
Revenue by Geography (in millions, except percentages)
| Year Ended December 31, | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025 | % of Total | 2024 | % of Total | |||||||||||
| 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 | ||||||||||
| Total revenue | $ | 9,005.7 | 100.0 | % | $ | 7,003.1 | 100.0 | % |
Revenue
Product revenue primarily consists of sales of our switching and routing products, and related network applications. Service revenue is primarily derived from sales of PCS contracts, which are typically purchased in conjunction with our products, and subsequent renewals of those contracts. We expect our revenue may vary from period to period based on, among other things, industry and customer cyclicality, the timing, size, and complexity of orders, especially with respect to our large customers, and the time it takes for customers to evaluate, test, qualify and accept our products and services.
Product revenue increased by $1.7 billion, or 28.8%, for the year ended December 31, 2025 compared to 2024. This increase reflects healthy customer demand and hig
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MD&A history
Prior-year 10-K MD&A spans are extracted from SEC filings with the same bounded parser used for the latest filing. Each year's full verbatim text is on its own sub-page.
Macro cross-references for ANET
- INDPRO - Industrial Production: Total Index
- TCU - Capacity Utilization: Total Index
- PPIACO - Producer Price Index by Commodity: All Commodities
- GDPC1 - Real Gross Domestic Product
- DGS10 - Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity
- FEDFUNDS - Federal Funds Effective Rate
- CES0500000003 - Average Hourly Earnings of All Employees, Total Private
- PAYEMS - All Employees, Total Nonfarm