'ASIC Giant' Marvell Sets Record Quarterly Revenue, Raises Guidance Again, CEO Says Data Center Business Is 'On Fire'

marsbitPublicado a 2026-05-28Actualizado a 2026-05-28

Resumen

Marvell Technology, a leading player in custom AI chips and data center connectivity, reported record revenue for its fiscal Q1 2027, driven by explosive demand in its data center business. Revenue reached $2.418 billion, slightly surpassing expectations, though GAAP net income fell year-over-year due to acquisition-related costs. Crucially, data center revenue hit $1.83 billion, making up 76% of the total and growing 27% YoY. The company significantly raised its full-year and next-year guidance, citing "exceptionally strong AI-related orders." Revenue is now projected at ~$11.5 billion for FY2027 and ~$16.5 billion for FY2028. CEO Matt Murphy emphasized that growth in the data center segment is accelerating. The AI Interconnect business, now expected to grow over 70% annually, saw its forecast lifted again due to rising network demands in complex AI models. Additionally, Marvell's custom chip (XPU) business is on a steep growth path, with FY2028 revenue anticipated to double and a target of over $10 billion by FY2029. The company also expanded its strategic collaboration with NVIDIA, focusing on silicon photonics, system integration, and AI-RAN solutions. To secure supply for surging demand, Marvell plans about $1 billion in supplier prepayments this fiscal year, highlighting its long-term capacity planning. Despite the strong results, the stock dipped slightly in after-hours trading.

Marvell delivered a seemingly brilliant report card with record revenue and a significant guidance raise.

After the U.S. market closed on May 27th, AI custom chip, optical communication, and data center interconnect leader Marvell released its Q1 FY2027 financial results and held an earnings call. The data center business continued its explosive growth, leading the company to once again significantly raise its full-year guidance. CEO Matt Murphy directly stated on the call, "Our data center business is on fire", and "orders are exceptionally strong."

Marvell's Q1 FY2027 revenue was $2.418 billion, up 28% year-over-year and 9% quarter-over-quarter, slightly exceeding analyst expectations of $2.41 billion. Non-GAAP earnings per share were $0.80, in line with analyst estimates. However, GAAP net profit was $34.5 million, a significant decline from $177.9 million in the same period last year, primarily due to one-time costs and non-cash amortization related to the acquisitions of Celestial AI and XConn.

The data center business contributed $1.83 billion in revenue, accounting for 76% of total revenue, up 27% year-over-year and 11% quarter-over-quarter.

Following the earnings report and call, the company's stock price fell slightly by about 1%. Year-to-date, the stock had already more than doubled ahead of the earnings report. Against high expectations, merely "meeting expectations" may no longer be enough to impress the market.

01

"AI-Related Orders Are Exceptionally Strong," Marvell Raises Guidance Again

This marks Marvell raising its guidance for multiple consecutive quarters.

For the Q2 FY2027 guidance, the company expects revenue of approximately $2.7 billion (plus or minus 5%), representing year-over-year growth of about 35%, higher than the analyst consensus estimate of $2.6 billion. The non-GAAP EPS guidance range is $0.88 to $0.98, compared to the analyst consensus of $0.90.

For the full-year guidance, Marvell raised its FY2027 revenue expectation to approximately $11.5 billion, representing growth of about 40% year-over-year. Three months ago, the company's guidance was "approaching $11 billion."

More attention-grabbing is the outlook for FY2028. Marvell raised its FY2028 revenue target to approximately $16.5 billion, about $1.5 billion higher than the guidance provided last quarter, representing year-over-year growth of about 45%.

CEO Matt Murphy stated in the earnings release: "We are seeing exceptionally strong AI-related orders, and as a result, we are significantly raising our revenue expectations for Marvell's FY2027 and FY2028, showing substantial improvement compared to the guidance provided last quarter."

02

Data Center: Accounts for 76% of Revenue, Growth Still Accelerating

Q1 data center revenue was $1.83 billion, up 27% year-over-year and 11% quarter-over-quarter, accounting for 76% of total revenue.

Marvell's growth forecasts for this business are:

FY2026: +46% (already achieved)

FY2027: approximately +50%

FY2028: approximately +55%

Murphy stated:

The data center business is on fire, and we expect growth rates to accelerate this year and next, starting from an already high base.

03

Interconnect Business: Growth Rate from 30%→50%→70%, CEO Says "There's Room for Upside"

The AI Data Center Interconnect business is the largest segment within Marvell's data center portfolio, covering optical interconnect, DCI modules, coherent optics, and other product lines.

The expected annual growth rate for this business has been raised consecutively over the past few quarters: around 30% around September last year, later raised to 50%, and now raised again to over 70%.

When pressed by analysts, Murphy said directly:

I think there is a lot of potential for upside here. Our traditional DSP business will see a significant jump next year, the 1.6T product line has higher value content, DCI is accelerating, along with new businesses like retimers, AEC, and scale-up optics... This is the beginning of a major growth cycle for us.

Why has the interconnect business suddenly become so important? Murphy provided a clear logic:

Early generative AI primarily addressed compute and memory bottlenecks, with network interconnect being a secondary concern. However, with the deployment of more complex architectures like inference models and Mixture of Experts (MoE) models, the volume of data transmission within AI clusters has increased dramatically, significantly elevating the importance of network interconnect.

Some key numbers:

TIA and Driver Chips: Expected to surpass an annualized revenue run rate of $1 billion in the coming quarters.

DCI Module Business: Already shipping to all five major U.S. hyperscale cloud providers. Expected to surpass an annualized revenue run rate of $1 billion in FY2028, approximately double that of FY2026 (~$500 million).

Scale-up optics (NPO/CPO Optical Interconnect): Previously expected to be around $150 million; now raised, expected to exceed $300 million in FY2028.

04

Custom Chips (XPU): Doubling Next Year, Targeting Over $10 Billion by FY2029

Marvell's custom chip (Custom/XPU) business is another important growth line and a major focus for the market.

Current Progress:

FY2027 Custom Chip Revenue: Growth exceeding 20% year-over-year.

FY2028 Custom Chip Revenue: Expected to double year-over-year, higher than last quarter's expectation.

FY2029 Target: Exceed $10 billion (previous target was approximately $8 billion).

Analyst Vivek Arya (Bank of America Securities) pressed during the call: Does this mean FY2028 custom chip revenue will be over $4 billion, then jump to $10 billion in FY2029, implying a single-year incremental revenue of $5-6 billion?

Murphy's response was: Yes, you heard that correctly.

Three drivers for FY2028 custom chip growth:

Continued growth from existing flagship XPU projects.

More than ten XPU satellite projects (NIC, CXL, etc.) entering higher-volume production stages, with demand consistently exceeding expectations.

A new leading XPU project entering production — Murphy stated, "The project is progressing smoothly, and the full-year production plan is in place."

Murphy also revealed that while newly won design projects typically require about a two-year development cycle before contributing revenue, the significance of these projects lies in providing security for longer-term growth, which he referred to as "insurance policies."

05

Expanding Collaboration with NVIDIA, Three Key Directions Materializing

This quarter, Marvell announced an expanded strategic collaboration with NVIDIA. Murphy detailed three core directions on the call:

1. Optical Interconnect Collaboration: Marvell has long provided DSP, TIA, and drivers to NVIDIA. The two companies are now further collaborating on developing silicon photonics technology, considered a key enabling technology for scale-up networks.

2. NVLink Fusion Integration: Allows Marvell to build custom chips and network semiconductors that seamlessly interface with NVIDIA's infrastructure. Murphy stated this provides hyperscale cloud providers with greater flexibility to freely mix and match between custom chips and NVIDIA chips. "Marvell uniquely provides the bridge between these two architectures," creating new market opportunities for both companies.

3. AI-RAN: Marvell will enhance its Octeon base station processors to enable them to work directly in tandem with NVIDIA GPUs, running both 5G/6G wireless workloads and AI applications on the same hardware platform.

06

Supply Chain: Locking in Capacity Early, ~$1 Billion in Prepayments Planned This Year

Facing continuously climbing demand, supply chain management has become a critical variable.

CFO Willem Meintjes revealed on the call that the company plans to make approximately $1 billion in supplier prepayments during FY2027, with the first payments starting in Q2. These prepayments will be credited against future material purchases.

COO Chris Koopmans explained Marvell's supply chain strategy in response to analyst questions:

Everything related to AI has been supply-constrained from day one. Our approach is to build extremely close relationships with a small number of core suppliers, provide them with five-year demand forecasts, deliver on our promises every time, and back up our forecasts with action and prepayments.

Financially, Q1 operating cash flow reached a record $639 million. The company repurchased $200 million worth of stock in the quarter and paid $54 million in dividends. As of the end of Q1, total debt stood at $4.96 billion, with net debt/EBITDA at 0.32x.

This article is from the WeChat public account "Wall Street Insights Max," author: Long Yue

Preguntas relacionadas

QWhat was the key factor behind Marvell's significant increase in its revenue guidance for fiscal years 2027 and 2028?

AThe key factor was exceptionally strong AI-related orders, which led the company to significantly raise its revenue outlook compared to the guidance provided the previous quarter.

QWhat percentage of Marvell's total Q1 revenue came from its Data Center segment, and what was its growth rate?

AMarvell's Data Center segment contributed 76% of its total Q1 revenue, with a year-over-year growth of 27% and a sequential growth of 11%.

QHow did Marvell describe the growth trajectory for its AI Data Center Interconnect (Interconnect) business?

AMarvell described the growth trajectory as accelerating significantly, with the annual growth rate expectation being raised from around 30% to 50%, and now to over 70%. The CEO indicated there is substantial upside potential remaining.

QWhat is Marvell's stated revenue target for its Custom Chip (XPU) business by fiscal year 2029, and what major driver was mentioned for growth in fiscal year 2028?

AMarvell's stated revenue target for its Custom Chip (XPU) business by fiscal year 2029 is over $10 billion. A major driver for growth in fiscal year 2028 is the expected doubling of its custom chip revenue, aided by a new major XPU project entering production.

QWhat are the three core areas of Marvell's expanded strategic collaboration with NVIDIA, as detailed in the earnings call?

AThe three core areas are: 1) Collaboration on optical interconnect and silicon photonics technology. 2) NVLink Fusion Integration, allowing Marvell to build custom chips and networking semiconductors that interface seamlessly with NVIDIA infrastructure. 3) AI-RAN, enhancing Marvell's Octeon base station processors to work directly with NVIDIA GPUs for simultaneous 5G/6G and AI workloads.

Lecturas Relacionadas

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

SpaceX, OpenAI, and Anthropic are poised for historic IPOs within weeks, potentially raising a combined $180 billion—a sum exceeding the entire internet bubble's fundraising. The hosts of the Limitless Podcast argue this isn't just individual company financing but an unprecedented capital concentration for AI infrastructure, driven by an insatiable need for compute, data centers, power, and chips. SpaceX's IPO is notable for reportedly changing market index rules to allow faster inclusion, potentially funneling trillions in passive retirement funds into its stock, despite its unproven space-based data center business model. In contrast, Anthropic demonstrates explosive growth, with ARR reportedly hitting $45 billion and approaching profitability, fueled by strong enterprise adoption of products like Claude Code. Google's separate $80 billion raise highlights the immense capital pressure, even for giants. The discussion acknowledges bubble risks but leans optimistic. The hosts contend the massive spending is building essential physical infrastructure for the next technological era. A key bottleneck isn't capital but the real-world limits of chip manufacturing and construction speed. As long as demand for AI compute outstrips supply, this investment cycle represents a foundational build-out rather than a purely financial bubble. All three companies are seen as foundational bets on the future, with Anthropic often cited as the most immediately compelling due to its proven revenue trajectory.

marsbitHace 1 hora(s)

SpaceX, OpenAI, Anthropic: The Three AI Giants Racing for IPO, Which One Is Worth Betting On?

marsbitHace 1 hora(s)

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

From "Vintage Tech" to "New AI Darlings": How AI Revalues Old Infrastructure One year ago, tech giants like Dell, Nokia, Cisco, and Western Data were seen as slow-growth, low-valuation stories, far from the AI spotlight dominated by players like Nvidia. Now, these legacy tech stocks are gaining market attention, sparking debate on whether this is genuine industry revaluation or a temporary narrative. As AI moves from model parameters to real-world data centers, the market is recognizing companies with proven delivery and infrastructure capabilities. This shift marks a change in the AI investment thesis: from pure model and GPU focus to the complex systems engineering required for deployment. Companies like Dell, HPE, and Corning are being revalued not for being "sexy" AI innovators, but for their decades of accumulated expertise in supply chains, enterprise delivery, and infrastructure—assets that have become critical in the AI buildout phase. The revaluation is unfolding across three key infrastructure lines: 1. **Servers & System Integration:** Dell and HPE are emerging as crucial system integrators or "general contractors" for AI data centers, translating GPU orders into complete, deployable server racks integrated with power, cooling, and networking. 2. **Networking & Connectivity:** AI's scale demands robust high-speed connections. Corning (fiber optics), Nokia (AI-RAN, 6G), and Cisco (data center switches) are gaining importance for enabling efficient data transfer within and between AI clusters. 3. **Storage:** Beyond high-speed memory (HBM/DRAM), the AI data explosion is driving demand for high-capacity hard drives (HDDs) from companies like Western Digital and Seagate to handle training data, logs, and cold storage cost-effectively. For this revaluation to be substantive and not just a narrative, three criteria are key: 1) Concrete AI-related order and revenue growth (e.g., Dell's AI server sales), 2) Upward revisions to company financial guidance, and 3) Sustainable improvements in profit quality, not just top-line revenue spikes. In essence, AI's transition to a real construction phase is re-pricing "old assets" against "new demand." The opportunity, however, is selective. Only those legacy firms that are demonstrably integrated into the capital expenditure chains of data center and enterprise AI deployment are likely to experience a true "logic re-rating" rather than just a temporary valuation bounce.

marsbitHace 1 hora(s)

From 'Old Guys' to 'New Favorites': How AI Is Revaluing Old Infrastructure from Dell to Nokia?

marsbitHace 1 hora(s)

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

OpenAI is shifting its strategic focus from ChatGPT to Codex, merging them along with the browser tool Atlas into a unified desktop super-app. This move signals an internal belief that Codex, originally a programming tool, represents the next evolution of AI more than conversational models like ChatGPT. Over the past year, Codex's weekly active users have surged past 5 million. The key distinction is that while ChatGPT answers questions, Codex executes tasks. Enterprises increasingly value this ability to get work done over simply receiving advice. Consequently, Codex is attracting professionals beyond developers, including analysts, bankers, marketers, and product managers. OpenAI's reorganization and increased investment in Codex stem from recognizing that the future of AI competition lies in execution capabilities, not just conversation. The company is launching role-specific plugins (e.g., for data analysis, sales, design) to transform Codex into a broad knowledge work platform that automates and redefines white-collar workflows. Beyond being a tool, Codex reflects OpenAI's ambition to redefine software. New features like "Sites"—which generates interactive websites from documents—and collaborative "Annotations" aim to create a paradigm where the AI understands the goal and handles the tools and steps, functioning more like a digital colleague than traditional software. The ultimate goal is a unified experience where the user cares only about the completed task.

marsbitHace 1 hora(s)

The Merger of Codex and ChatGPT Marks the Beginning of a Major Reshuffle in Programming Tools

marsbitHace 1 hora(s)

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

Invesco Great Wall Fund has released its "2026 China Corporate Globalization Report," titled "The 'Great Navigation Era' of Chinese Enterprises." The report analyzes the new trends and investment opportunities as Chinese companies expand globally, moving from simple product exports to comprehensive overseas operations involving services, branding, and local production. Driven by factors like trade friction, the pursuit of higher profit margins abroad, and policy support, globalization is becoming essential for Chinese companies. The report outlines an evolution: from early product export ("Globalization 1.0") to the current "Globalization 2.0," characterized by overseas capacity, capital goods investment, consumer brand expansion, and service exports. Chinese firms' competitive advantages are highlighted, including a vast engineer talent pool, low-cost and robust infrastructure, and complete industrial clusters. Specific sectors with significant出海 potential are identified: * **Capital Goods** (e.g., engineering machinery, power equipment): Benefiting from global demand, especially in Belt & Road markets and the AI-driven power grid upgrade cycle. * **Consumer Brands**: Transitioning from cost to brand advantage, leveraging供应链 efficiency. * **Technology & Innovation**: Including AI applications, optical modules within global tech supply chains, and new energy vehicles focusing on local production. * **Pharmaceuticals**: Chinese biotech firms are becoming preferred partners for global pharma, with potential for breakthrough drugs in areas like oncology and weight loss. The report concludes that corporate globalization represents a sustained, core theme for China's capital markets, though companies must navigate challenges like geopolitics and localization.

marsbitHace 1 hora(s)

Interpreting Investment Opportunities in the Age of Great Navigation, Invesco Great Wall Fund Releases '2026 Report on Chinese Enterprises Going Global'

marsbitHace 1 hora(s)

Trading

Spot
Futuros
活动图片