StockGist
Back
8-K2026-06-04· deepseek-v4-flash

CIEN · Ciena Corporation

0001628280-26-040614

SEC filing

Summary

Ciena reported fiscal Q2 2026 revenue of $1.57B, up 40% YoY, and raised full-year guidance to $6.3B, driven by AI-driven demand for optical networking.

Key takeaways

Full analysis

Ciena's fiscal second quarter 2026 results underscore the company's dominant position in optical networking fueled by AI-driven demand. Revenue surged 40% year-over-year to $1.57 billion, with cloud provider revenue jumping 70% to represent 46% of total sales. Both RLS and Waveserver products saw over 50% growth, while India revenue more than doubled, driven by the MOFN contract. Gross margin expanded significantly: GAAP gross margin rose 380 bps to 44.0% and non-GAAP gross margin improved 390 bps to 44.9%, reflecting favorable product mix and supply chain discipline. Operating leverage was evident as GAAP operating margin soared from 2.9% to 15.1%, and non-GAAP operating margin reached 19.5%, up from 8.2% a year ago. Net income on a GAAP basis was $218.2 million ($1.49 per diluted share) versus $9.0 million ($0.06 per share) in the prior year; adjusted (non-GAAP) net income was $240.2 million ($1.64 per diluted share) compared to $60.7 million ($0.42 per share). Management highlighted the structural tailwinds from AI, with CEO Gary Smith stating the company is 'positioned to capitalize on market dynamics and drive sustained, profitable growth.' The company also raised its full-year 2026 revenue guidance to $6.3 billion ± $100 million, implying approximately 32% year-over-year growth at the midpoint, reflecting strong visibility and backlog. For the fiscal third quarter, Ciena expects revenue of $1.625 billion ± $50 million and adjusted gross margin around 45%. Free cash flow generation remains robust at $219 million, and the company returned $83.1 million to shareholders via buybacks under its $1 billion program. The results and guidance reinforce Ciena's thesis as a key beneficiary of hyperscaler capital expenditures on AI data centers.