Cisco reported Q4 revenue of US$14.7 billion, up 8% year-on-year, with net income at US$2.8 billion, a 31% rise from the previous year.

The US-based networking company saw full-year FY 2025 revenue reach US$56.7 billion, up 5%, and net income of US$10.5 billion, up 1%.

Q4 product orders rose 7%, and AI infrastructure orders from webscale customers topped US$2 billion for the year.

The company returned US$2.9 billion to shareholders in Q4 through dividends and share repurchases.

Cisco forecasts Q1 FY 2026 revenue between US$14.6 billion and US$14.8 billion, and full-year FY 2026 revenue of US$59 billion to US$60 billion.

🔗 Source: Cisco

🧠 Food for thought

1️⃣ AI infrastructure demand surge demonstrates Cisco’s strategic positioning in enterprise transformation

Cisco’s AI infrastructure orders from webscale customers reached over $2 billion for fiscal 2025, more than doubling their original $1 billion target.

This significant growth reflects the accelerating pace of enterprise AI adoption, where companies are rapidly investing in the networking infrastructure needed to support AI workloads and applications.

The $800 million in AI infrastructure orders during Q4 alone suggests that demand is intensifying, indicating that Cisco has successfully positioned itself at a critical infrastructure layer during this technology transition.

This positions Cisco differently from pure-play AI companies by focusing on the foundational networking requirements that enable AI deployment at scale.

2️⃣ Strong operational leverage emerges during infrastructure investment cycle

Despite significant investments in AI infrastructure capabilities, Cisco maintained robust gross margins with non-GAAP gross margin of 68.4% in Q4, while generating $4.2 billion in operating cash flow during the same period.

This operational performance during a major technology transition demonstrates Cisco’s ability to scale revenue without proportionally increasing costs, suggesting their AI infrastructure solutions command premium pricing.

The company’s 30% increase in full-year operating cash flow to $14.2 billion, combined with revenue growth of just 5%, indicates improving operational efficiency as they capture higher-margin AI infrastructure opportunities.