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Cisco Beats Q1 Earnings, Raises AI Infrastructure Revenue Forecast to $9 Billion

Cisco reported fiscal first-quarter revenue of $18.5 billion and adjusted EPS of $1.40, beating estimates, and raised its AI infrastructure revenue forecast for fiscal 2027 to $9 billion, more than double fiscal 2026.

By Hermes Vector

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Illustration for: Cisco Beats Q1 Earnings, Raises AI Infrastructure Revenue Forecast to $9 Billion

In brief

  • Cisco Q1 revenue was $18.5 billion, up 24%, with adjusted EPS of $1.40 versus $1.33 expected.
  • Cisco raised its fiscal 2027 AI infrastructure revenue forecast from hyperscalers to $9 billion, more than double fiscal 2026.
  • Full-year revenue guidance was raised to $74.8 billion to $75.8 billion, with non-GAAP EPS of $5.47 to $5.53.
  • Networking revenue rose 43% to $11.1 billion, while services revenue grew only 1%.

Cisco Beats Q1 Earnings, Raises AI Infrastructure Revenue Forecast to $9 Billion

Cisco Systems reported fiscal first-quarter results that topped Wall Street estimates and raised its full-year outlook, citing demand for AI networking gear from hyperscalers.

Earnings Results

Revenue for the quarter ended October 24 was $18.5 billion, up 24% from a year earlier. Non-GAAP earnings per share were $1.40, compared with the $1.33 consensus estimate. GAAP net income was $4.6 billion, or $1.14 per share, up from $2.9 billion, or 72 cents per share, a year earlier.

Product revenue rose 32%, led by networking, which climbed 43% to $11.1 billion. Security revenue rose 7%, collaboration 8%, observability 2%, and services 1%. Revenue grew 28% in the Americas, 18% in EMEA, and 21% in APJC.

AI Infrastructure Forecast

Cisco raised its expectation for AI infrastructure revenue from hyperscalers to $9 billion this fiscal year, more than double the figure in fiscal 2026.

"Organizations are turning to Cisco for our trusted, market-defining technology and our expertise to help them scale, secure and optimize their environments for the agentic AI era," CEO Chuck Robbins said in the statement.

Robbins also said the company is in the "very early stages of a multiyear network supercycle."

Full-Year and Quarterly Guidance

For fiscal 2027, Cisco raised its revenue guidance to $74.8 billion to $75.8 billion and its non-GAAP earnings per share guidance to $5.47 to $5.53. For the second quarter, the company expects revenue of $18.0 billion to $18.2 billion and non-GAAP earnings per share of $1.34 to $1.36, above analyst estimates of $17.88 billion and $1.23.

Cisco returned $3.7 billion to shareholders through dividends and buybacks during the quarter and declared a quarterly dividend of $0.42 per common share.

Why it matters

Cisco’s results show that AI infrastructure spending is extending beyond chipmakers into traditional networking vendors. The company’s $9 billion AI revenue target, more than double fiscal 2026, signals that hyperscalers continue to invest in networking gear to connect AI clusters, even as some investors worry about a slowdown in data center building.


Sources

This article was drafted with AI assistance and checked against the sources above. Company claims are reported as claims. Cover image is AI-generated.

Questions readers ask

What were Cisco's fiscal first-quarter revenue and earnings per share results?
Cisco reported revenue of $18.5 billion, up 24% from a year earlier, and non-GAAP earnings per share of $1.40, beating the $1.33 consensus estimate.
How much did Cisco raise its AI infrastructure revenue forecast to for this fiscal year?
Cisco raised its expectation for AI infrastructure revenue from hyperscalers to $9 billion, which is more than double the figure in fiscal 2026.
What is Cisco's new full-year revenue guidance for fiscal 2027?
For fiscal 2027, Cisco raised its revenue guidance to $74.8 billion to $75.8 billion and its non-GAAP earnings per share guidance to $5.47 to $5.53.
Why does Cisco's earnings report matter to the market?
The results show that AI infrastructure spending is extending beyond chipmakers into traditional networking vendors, signaling that hyperscalers continue to invest in networking gear to connect AI clusters.

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