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Cisco’s Full-Stack AI Evolution: Record Earnings and the Rise of AgenticOps
Cisco delivered record-breaking Q2 2026 results with $15.3 billion in revenue, driven by a strategic pivot into a full-stack AI powerhouse that combines high-performance Silicon One G300 architecture with autonomous AgenticOps to capture massive demand across hyperscaler and enterprise markets.
02/17/2026
By the Numbers
- Revenue: $15.3 billion anIncrease of 10% year over year
- Earnings per Share: GAAP: $0.80; Non-GAAP: $1.04
- GAAP EPS increased 31% year over year
- Non-GAAP EPS increased 11% year over year
Q3 FY 2026 Guidance
- Revenue: $15.4 billion to $15.6 billion
- Earnings per Share: GAAP: $0.73 to $0.77; Non-GAAP: $1.02 to $1.04
FY 2026 Guidance
- Revenue: $61.2 billion to $61.7 billion
- Earnings per Share: GAAP: $3.00 to $3.08; Non-GAAP: $4.13 to $4.17
Key Highlights
- Strong Financial Performance: Cisco reported record Q2 revenue of $15.3 billion (up 10% YoY), with GAAP earnings per share (EPS) surging 31% to $0.80, beating previous guidance.
- Surging Product Demand: Global product orders jumped 18%, driven by a massive multi-billion-dollar campus networking refresh and a robust 20% growth in networking-specific orders.
- AI Infrastructure Momentum: The company solidified its role in the AI market by securing $2.1 billion in orders from hyperscalers, fueled by the performance of the 102.4 Tbps Silicon One G300 chip.
- Strategic AI Innovation: Cisco is pivoting to a "full-stack AI company," launching AgenticOps—an autonomous management platform that leverages telemetry from Splunk and ThousandEyes to automate complex network troubleshooting.
- Optimistic Outlook: Management raised its full-year FY 2026 revenue guidance to between $61.2 billion and $61.7 billion and approved a 2% dividend increase, signaling confidence in sustained growth.
The News
Cisco (NASDAQ: CSCO) reported second-quarter (Q2) results for the period ended January 24, 2026. Cisco reported second-quarter revenue of $15.3 billion, net income on a generally accepted accounting principles (GAAP) basis of $3.2 billion or $0.80 per share, and non-GAAP net income of $4.1 billion or $1.04 per share. For more information, read the Cisco press release.
Analyst Take
Hot on the heels of 21,000+ people attending CiscoLive in Amsterdam, Cisco delivered a strong second quarter for fiscal year 2026, characterized by double-digit top and bottom-line growth that exceeded previous guidance. The key takeaway from the CiscoLive event and the investor call is that Cisco is stepping into the role of being a full-stack AI company with “silicon to software, spanning physics to semantics,” and they are doing it with confidence.
The company achieved record revenue of $15.3 billion, representing a 10% increase year over year, while earnings per share outpaced revenue growth. Specifically, GAAP EPS rose 31% to $0.80, and non-GAAP EPS grew 11% to $1.04. This profitability was bolstered by robust margins that landed above the high end of the guidance range, with GAAP gross margins at 65.0% and non-GAAP operating margins reaching 34.6%. For Ron Westfall’s post-match commentary, check out his segment on the Schwab Network.
The demand environment showed significant acceleration, with product orders increasing 18% year over year across all geographies and customer markets. Networking product orders were particularly strong, surging by more than 20% as a major multi-year, multi-billion-dollar campus networking refresh cycle gained momentum. A critical highlight of the quarter was the rapid expansion of AI infrastructure, as Cisco secured $2.1 billion in orders from hyperscalers, marking a significant acceleration in the company’s AI-driven growth strategy.
Cisco has provided an optimistic outlook for the remainder of the fiscal year while reinforcing shareholder returns with a 2% dividend increase to $0.42 per share. For the third quarter of 2026, the company expects revenue to land between $15.4 billion and $15.6 billion, with non-GAAP EPS projected between $1.02 and $1.04. Full-year fiscal 2026 guidance has been set with a revenue target of $61.2 billion to $61.7 billion, and non-GAAP EPS expected to range from $4.13 to $4.17, signaling continued confidence in the current market expansion.
Redefining AI Architecture: Cisco Silicon One and the AI Control Plane
We see the announcements at Cisco Live EMEA as marking a decisive shift in AI networking, moving the industry away from closed, proprietary systems toward a unified Ethernet standard for massive GPU clusters. By achieving a 102.4 Tbps threshold with the Silicon One G300, Cisco has effectively leveled the playing field between Ethernet and InfiniBand. This performance breakthrough directly challenges NVIDIA’s long-standing dominance in high-end AI training while setting new benchmarks for sustainability through 100% liquid-cooled designs and 1.6T optics. More importantly, by embedding deep telemetry and security into the silicon itself, Cisco is evolving the network from a passive pipe into an active AI control plane specifically engineered to accelerate GPU job completion.
The competition for the future of the AI data center has now narrowed to a battle between the Cisco Silicon One G300 and the Broadcom Tomahawk 6. While both reach the 102.4 Tbps milestone, Cisco distinguishes itself through an integrated systems philosophy. Instead of offering a standalone merchant chip, Cisco delivers a comprehensive, turnkey solution that includes the cooled chassis, optics, and the Nexus One management layer. This one-stop shop model is particularly compelling for enterprises and emerging neoclouds that prioritize operational simplicity over the complex engineering required to build custom hardware around third-party silicon.
The architectural divide between these two giants is most evident in their physical design choices. While Broadcom utilizes a multi-die chiplet architecture to balance I/O and processing, Cisco remains committed to a Unified Architecture. This approach maintains a single, consistent silicon design across all network roles, from the edge to the core. By eliminating the need for disparate hardware types within the same fabric, Cisco simplifies the software stack and removes the operational friction that typically plagues large-scale data center management.
Cisco AgenticOps: Unifying Telemetry and Specialized AI for Autonomous Network Excellence
Moreover, at CiscoLive EMEA, the company expanded its AgenticOps proposition, deriving its power from an expansive system-wide intelligence, powered by telemetry across the Cisco ecosystem, including Splunk, Nexus One, and ThousandEyes. By synthesizing real-time data from internal and external environments, the platform achieves the context-aware execution necessary to manage global-scale networks. This creates a secure, closed-loop environment where machines handle high-frequency operational tasks, enabling IT professionals to pivot from reactive maintenance to high-level strategy while retaining full oversight of the outcomes.
Cisco’s AgenticOps establishes a clear competitive lead over rivals such as HPE, Juniper, and Arista by prioritizing cross-domain data integration and specialized autonomous reasoning. Unlike competitors, Cisco utilizes a massive telemetry pool that unifies insights from Splunk and ThousandEyes with Secure Firewall data. This unique synergy between deep networking heritage and world-class observability allows Cisco to correlate localized bottlenecks with external ISP failures or security breaches, delivering holistic resolutions that specialized rivals cannot match.
At the core of this advantage is the Deep Network Model, a specialized LLM trained on forty years of proprietary Cisco intelligence, ranging from CCIE-level logic to millions of real-world support cases. This foundation enables agents to perform sophisticated, multi-step troubleshooting across diverse environments, including public clouds and air-gapped industrial facilities. By embedding this level of diagnostic precision directly into the infrastructure, Cisco provides a level of autonomous reliability specifically engineered for the complexities of modern enterprise architecture.
Looking Ahead
The confidence coming out of Cisco about the tailwinds was manifest in Jeetu Patel's keynote in Amsterdam, while his bright blue Tom Ford suede jacket got us all doing AI searches; the message was solid and upbeat. Cisco is a player in the AI era.
Looking ahead to the third quarter of fiscal year 2026, Cisco has set its revenue expectations between $15.4 billion and $15.6 billion. During this period, the company projects GAAP earnings per share to fall within the range of $0.73 to $0.77, while non-GAAP earnings per share are anticipated to be between $1.02 and $1.04.
For the full fiscal year 2026, Cisco provides a robust outlook with total revenue forecasted to reach between $61.2 billion and $61.7 billion. On an annual basis, GAAP earnings per share are expected to range from $3.00 to $3.08, with non-GAAP earnings per share projected to arrive between $4.13 and $4.17.
We believe Cisco has the ability to meet its robust fiscal year 2026 outlook due to being underpinned by the simultaneous convergence of a massive AI infrastructure buildout and a multi-year campus networking refresh cycle. The company has already demonstrated significant momentum, doubling its AI infrastructure orders from hyperscalers to $2.1 billion in the second quarter alone, and it is now on track to exceed $5 billion in total AI orders for the fiscal year. This demand is further bolstered by the launch of the Silicon One G300 chip and a growing $2.5 billion pipeline among neocloud and enterprise customers seeking high-performance AI solutions.
Simultaneously, Cisco is benefiting from a supercycle of campus upgrades as organizations modernize legacy hardware to support AI-driven workloads, driving networking product orders up by more than 20%. With a strong backlog reflected in $43.4 billion of remaining performance obligations (RPO) and a disciplined focus on operating leverage that allows earnings to grow faster than revenue, Cisco is well-positioned to convert its massive order book into the record-breaking $61.7 billion revenue target and $4.17 non-GAAP EPS forecast.
Ron Westfall | VP and Practice Leader for Infrastructure and Networking
Ron Westfall is a prominent analyst figure in technology and business transformation. Recognized as a Top 20 Analyst by AR Insights and a Tech Target contributor, his insights are featured in major media such as CNBC, Schwab Network, and NMG Media.
His expertise covers transformative fields such as Hybrid Cloud, AI Networking, Security Infrastructure, Edge Cloud Computing, Wireline/Wireless Connectivity, and 5G-IoT. Ron bridges the gap between C-suite strategic goals and the practical needs of end users and partners, driving technology ROI for leading organizations.
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Steven Dickens | CEO HyperFRAME Research
Regarded as a luminary at the intersection of technology and business transformation, Steven Dickens is the CEO and Principal Analyst at HyperFRAME Research.
Ranked consistently among the Top 10 Analysts by AR Insights and a contributor to Forbes, Steven's expert perspectives are sought after by tier one media outlets such as The Wall Street Journal and CNBC, and he is a regular on TV networks including the Schwab Network and Bloomberg.