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Home » Transcript: Ciena Corp (CIEN) Q3 2026 Earnings Call

Transcript: Ciena Corp (CIEN) Q3 2026 Earnings Call

EDITOR’S NOTE: Ciena Corporation (CIEN) reported record fiscal third-quarter 2026 results, with revenue of $1.7 billion, up 37% year on year, and adjusted operating margin of 22.5%, the highest in company history. On the call, President and CEO Gary Smith and CFO Marc Graff discussed surging AI-driven demand for optical connectivity, a backlog projected to exceed $10 billion by year-end, and preliminary fiscal 2027 guidance calling for revenue growth of at least 30%.

TRANSCRIPT:

Opening Remarks

OPERATOR: Hello, everyone. Thank you for joining us, and welcome to the Ciena Fiscal Q3 2026 Financial Results Call. After today’s prepared remarks, we will host a question and answer session. I will now hand the conference over to Gregg Lampf, Vice President, Investor Relations. Gregg, please go ahead.

GREGG LAMPF, VICE PRESIDENT, INVESTOR RELATIONS, CIENA: Thank you, Jennifer. Good morning, and welcome to Ciena’s 2026 fiscal third quarter conference call. On the call today is Gary Smith, President and CEO and Marc Graff, CFO. Scott McFeely, Executive Advisor is also with us for Q&A. In addition to this call and the press release, we’ve posted to the Investors section of our website an accompanying investor presentation that reflects this discussion as well as certain highlighted items from the quarter.

Our comments today speak to our recent performance, our views on current market dynamics and drivers of our business as well as a discussion of our financial outlook. Today’s discussion includes certain adjusted or non-GAAP measures of Ciena’s results of operations. A reconciliation of these non-GAAP measures to our GAAP results is included in today’s release. Before turning the call over to Gary, I’ll remind you that during this call, we’ll be making certain forward looking statements.

Such statements, including our quarterly and annual guidance, commentary on market dynamics and discussion of our opportunities and strategy are based on current expectations, forecasts and assumptions regarding the company and its markets, which include risks and uncertainties that could cause actual results to differ materially from the statements discussed today.

Assumptions relating to our outlook, whether mentioned on this call or included in the investor presentation that we posted earlier today, are an important part of such forward looking statements and we encourage you to consider them. Our forward looking statements should also be viewed in the context of the risk factors detailed in our most recent 10-K and our forthcoming 10-Q. Ciena assumes no obligation to update the information discussed in this conference call, whether as a result of new information, future events or otherwise. As always, we’ll allow for as much Q&A as possible today, though we ask that you limit yourselves to one question and one follow-up. I’ll hand the call over to Gary.

CEO Opening Remarks

GARY SMITH, PRESIDENT AND CEO, CIENA: Thanks, Gregg, and good morning, everybody. Today, we reported record financial results across the board. We demonstrated outstanding third quarter performance, including revenues of $1.7 billion, another quarterly record and up 37% year on year. Adjusted operating margin of 22.5%, exceeding guidance, was more than doubling year on year and the highest ever achieved for the company. Our adjusted earnings per share were up 215% year on year to a record $2.11. We delivered results in the context of an extraordinary industry demand environment that continues to accelerate.

We continue to see strong momentum in customer demand and order flow with a Q3 book to bill ratio that was significantly greater than one, which resulted in a substantial quarterly increase in our backlog. And we also expect backlog to grow at an even greater rate in Q4. In fact, just one month into this quarter, we are approaching a level of orders booked equal to the entirety of Q3. As a result, we are currently projecting to exit fiscal 2026 with over $10 billion in backlog. Overall, our outstanding Q3 performance reflects Ciena’s essential role in the fundamental re-architecting of network infrastructure.

And looking at these industry dynamics, I would remind everybody that we remain in the very early stages of a multi-year, highly durable network investment era. This is springboarding and caused by the large and growing investments in data center infrastructure. AI is starting to build on the previous eras of communications, including those driven first by the internet and then by the cloud. But it is doing so at a massive scale. As a result, AI is currently driving and will continue to drive significant increases in both bandwidth connectivity demand and network traffic growth.

In that context, high speed, low latency optical connectivity has become a critical enabler to not only operationalizing the AI driven investments in the network and the data center, but also monetizing those investments over time. And because of the increasing demands for higher capacity, faster speed, greater density, improved reliability, reduced space, and lower power and cost, optics have become the indispensable element for next generation AI architectures. And this is manifesting across all three of our primary markets.

Three Primary Markets

First, you call it the traditional network or the wide area network, the WAN, encompasses the network backbone, network edge, and network operations. It includes optical connectivity for long haul, subsea, metro, regional applications that people are familiar with.

And it is also being impacted by AI in a number of ways, from challenges of fiber availability in the backbone to quality of service demands at the edge, to the requirements of automation to address the increasing complexity of network operations. Second is a market that we are referring to as AI WAN. It includes both data center interconnect or DCI for the WAN backbone and scale across, currently used for distributed training across data centers and subsequently to be used for inferencing. Here the fundamental challenges are related to power caused by the increasing GPU compute capacity and energy load required to train large language models at scale. And the high volume, low price demands of deploying modems at much greater scale.

The third is, of course, the data center themselves, which includes the fabric connectivity domains of scale up and scale out, as well as data center operations.