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  4. Penguin Solutions, Inc. (PENG) Q2 2026 Earnings Call Transcript

Penguin Solutions, Inc. (PENG) Q2 2026 Earnings Call Transcript

PENG logo
PENG
Penguin Solutions Inc
67.71 USD
+10.15%

Access earnings results, analyst expectations, report, slides, earnings call, and transcript.

Overview

The earnings call highlights strong growth in the Memory segment, driven by favorable pricing and demand, which is expected to positively impact operating margins. Despite some pressure on gross margins, the company is investing in AI and memory solutions, signaling optimism. The Advanced Computing segment shows strong pipeline momentum, and new memory launches align with strategic goals. The Q&A section reinforces confidence in durable demand and strategic positioning, with management effectively addressing supply chain challenges. Overall, the earnings call suggests a positive outlook, likely resulting in a stock price increase of 2% to 8%.

Key Financial Performance

Net Sales $343 million for Q2 FY '26, down 6% year-over-year. Decline attributed to the wind down of Penguin Edge business and reduced hyperscale hardware sales.

Non-GAAP Gross Margin 31.2% for Q2 FY '26, up 0.4 percentage points year-over-year. Increase driven by product mix in advanced computing, favorable pricing in memory, and tariff recovery in LED.

Non-GAAP Operating Margin 13.2% for Q2 FY '26, down 0.2 percentage points year-over-year. Decline due to increased investments in R&D and other operational expenses.

Non-GAAP Diluted Earnings Per Share (EPS) $0.52 for Q2 FY '26, flat year-over-year. Reflects stable profitability despite revenue decline.

Advanced Computing Net Sales $116 million for Q2 FY '26, down 42% year-over-year. Decline due to the wind down of Penguin Edge business and reduced hyperscale hardware sales.

Integrated Memory Net Sales $172 million for Q2 FY '26, up 63% year-over-year. Growth driven by AI-driven demand, favorable pricing dynamics, and effective supply chain management.

Optimized LED Net Sales $56 million for Q2 FY '26, down 7% year-over-year. Decline attributed to mixed market conditions.

Non-Hyperscale AI/HPC Net Sales Down 35% year-over-year for Q2 FY '26 but up 50% for the first half of FY '26. Growth in the first half driven by diversification into enterprise, neocloud, and sovereign AI markets.

Inventory $322 million at the end of Q2 FY '26, up from $200 million a year ago. Increase due to strategic memory purchases and timing of receipts and shipments.

Accounts Payable $401 million at the end of Q2 FY '26, up from $238 million a year ago. Increase due to higher memory costs and timing of purchases and payments.

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Operating Highlights

Penguin MemoryAI server: Introduced a new line of scalable memory systems called MemoryAI, leveraging Compute Express Link (CXL) for scalable, shared memory across GPUs and CPUs. Also announced the MemoryAI KV Cache server for accelerating large language model responses.

OriginAI Factory Architecture: Expanded portfolio to include blueprints addressing larger workloads and low latency demands of AI inference.

AI infrastructure demand: AI is transitioning from experimentation to production, expanding the addressable market across enterprise, neoclouds, and sovereign AI markets. Penguin is seeing increased demand for integrated AI infrastructure.

Non-hyperscale AI/HPC growth: Non-hyperscale AI/HPC net sales grew 50% year-over-year in the first half of the year, with 5 new customer wins in Q2 across financial services, biomedical research, and energy.

AI factory platform: Focused on building a platform with six core elements, including ClusterWare software, MemoryAI systems, advanced computing systems, OriginAI architectures, end-to-end services, and a partner ecosystem.

Customer diversification: Transitioning from hyperscaler concentration to a diversified customer base, with non-hyperscale AI/HPC representing over 40% of first-half segment net sales.

Investment in AI business: Plans to invest more in product innovation, go-to-market strategies, and customer engagement to accelerate AI business growth.

Leadership enhancement: Appointed Ian Colle as Senior VP and Chief Product Officer to strengthen leadership in AI infrastructure platforms.

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Risk or Challenges

Advanced Computing Net Sales Decline: Net sales for advanced computing declined year-over-year by 42%, reflecting the timing of large deployments, transition away from hyperscaler concentration, and the wind down of the Penguin Edge business. This introduces variability and challenges in achieving consistent revenue growth.

Customer Diversification Challenges: The company is transitioning its AI infrastructure business from hyperscaler concentration to a diversified customer base across enterprise, neocloud, and sovereign AI. While progress is being made, this transition is still ongoing and introduces risks related to customer acquisition and sales cycle length.

Supply Chain Constraints: Ongoing supply chain constraints, particularly for components in advanced computing and integrated memory businesses, are impacting the company's ability to ramp up projects and fulfill customer orders efficiently.

Memory Cost Increases: Higher industry-wide memory costs are expected to slow customer demand for products and solutions, potentially lowering gross margins in advanced computing and memory businesses.

Sales Cycle Length: The sales cycle for AI/HPC engagements is long, often 12 to 18 months, which introduces quarterly net sales variability and delays in revenue realization.

Penguin Edge Business Wind Down: The wind down of the Penguin Edge business is expected to essentially cease by the end of fiscal 2026, resulting in a 14 percentage point unfavorable impact to total company net sales growth and a 30 percentage point unfavorable impact to advanced computing.

LED Market Conditions: Net sales for the LED segment declined by 7% year-over-year, with mixed market conditions and a disciplined investment approach potentially limiting growth opportunities.

Gross Margin Pressure: Gross margins are expected to decline in the second half of the fiscal year due to a higher mix of lower-margin AI hardware and memory sales, rising memory costs, and reduced tariff cost recovery in the LED segment.

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Guidance & Outlook

AI-driven demand and market expansion: The company expects AI to expand its addressable market and drive increased demand for integrated AI infrastructure. AI is moving from experimentation to production, with workloads shifting towards real-time inference, which is expected to create a durable layer of demand for memory.

AI Factory Platform Investments: Penguin Solutions plans to invest more in its AI factory platform to accelerate AI business growth, focusing on product innovation, go-to-market strategies, and customer engagement.

Product Development and Launches: The company introduced the Penguin MemoryAI server and expanded its OriginAI Factory Architecture portfolio to address larger workloads and low-latency demands of AI inference. It also continues to develop its Photonic Memory Appliance (PMA) for large-scale AI environments.

Customer Diversification: Penguin Solutions is transitioning its AI infrastructure business from hyperscaler concentration to a diversified customer base across enterprise, neocloud, and sovereign AI markets. It expects further diversification in the second half of the fiscal year.

Revenue and Earnings Outlook: The company raised its full-year net sales growth outlook to 12% and non-GAAP diluted EPS to $2.15, driven by strong memory demand and favorable pricing dynamics. Memory net sales are expected to grow between 65% and 75% year-over-year.

Advanced Computing Segment: Net sales for this segment are expected to decline between 15% and 25% year-over-year due to the wind-down of the Penguin Edge business and reduced hyperscale hardware sales. However, non-hyperscale AI/HPC net sales grew 50% year-over-year in the first half, and further diversification is anticipated.

Integrated Memory Segment: Memory net sales are projected to grow significantly, driven by AI-driven demand and favorable pricing. The company is also advancing its CXL-powered KV Cache servers and PMA development to address memory scaling challenges in AI systems.

LED Segment: Net sales for the LED segment are expected to decline between 5% and 15% year-over-year, with a focus on optimizing portfolio value and disciplined investment.

Operational and Financial Strategy: The company is prioritizing investments in product innovation, execution precision, customer engagement, and customer base diversification to build a scalable and durable business.

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Shareholder Return Plan

Share Repurchase Program: In the second quarter, the company spent $32 million to repurchase approximately 1.7 million shares under its stock repurchase program. As of February 27, 2026, an aggregate of $64.5 million remained available for the repurchase of common stock under the current authorization.

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Key Q&A

Q:What is driving the raised Memory segment outlook for 65% to 75% growth, and how will it impact operating margins and investments in new technologies?
A:The raised outlook is primarily driven by favorable pricing, with strong demand across telco, networking, and AI-driven sectors. The ability to secure materials is the main constraint. Operating margins for memory are expected to remain healthy, though there may be some pressure on gross margins due to higher memory input costs and a higher mix of new hardware shipments. Investments in innovation, including AI and memory solutions, are included in the outlook, with OpEx for the year set at $250 million, plus or minus $5 million.
Q:Why was the midpoint of the Advanced Computing guidance lowered, and how booked is the company to the new range?
A:The guidance was lowered due to a lag of 3 to 6 months between bookings and revenue, driven by deployment timing and material availability. Most bookings expected in the second half may not materialize into revenue this fiscal year but will positively impact the next fiscal year. The company is well booked into the fiscal second half's lowered outlook, with strong momentum in the pipeline and bookings.
Q:What is the target growth rate for the Advanced Computing business moving forward?
A:The non-hyperscale AI/HPC business grew 50% year-over-year in the first half of the fiscal year, representing 40% of the Advanced Computing mix, nearly double the previous fiscal year. The company expects continued growth, driven by strong pipelines across enterprises, on-prem AI deployments, sovereign AI customers, and neocloud customers.
Q:Do the new memory launches mark a shift in strategy, and what gives confidence in durable demand?
A:The new memory launches align with the company's AI factory platform strategy, focusing on inference workloads that require increased memory for lower latency and larger context sizes. The company is leading the market in this area, leveraging its unique position at the intersection of memory and AI infrastructure. A Tier 1 financial institution's recent purchase of CXL-based KV cache servers demonstrates demand and validates the strategy.
Q:Has the guidance philosophy changed with the new CEO, and how is the company managing supply chain challenges?
A:The guidance philosophy has not changed. The new CEO and CFO are aligned on tracking the business, and the new CRO has added rigor to the planning process. The company leverages its experience in managing supply chains, particularly in the memory business, to navigate challenges.
Q:Was there a change in bookings for Advanced Computing in Q2, and how does NVIDIA's reference designs impact the company?
A:Bookings were strong in Q2, with good growth sequentially and year-over-year. Deployment cycles have lengthened slightly due to supply constraints, particularly in memory. NVIDIA's reference designs are seen as complementary to the company's AI factory platform, and the company works closely with NVIDIA to capture opportunities, especially in enterprise-focused strategies.
Q:What is the customer activity tone regarding inference and agentic AI over the last 90 to 180 days?
A:Customers are early in adopting inference, which is increasingly deployed as they move towards agentic AI. Inference requires increased memory for faster responses, and the company's MemoryAI portfolio addresses these needs. Customers are deploying AI infrastructure and inference workloads, driving demand for memory solutions like CXL-based KV cache servers.
Q:Is the company more optimistic about CXL products now, and does photonics need to work for CXL to scale?
A:The company is optimistic about CXL adoption, driven by inference workloads requiring increased memory and memory pooling capabilities. Photonics is not necessary for CXL to scale but can enhance capabilities further. The company is also working on photonic memory appliances to complement CXL solutions.
Q:What drove the gross margin increase in the memory segment, and what is the outlook for margins?
A:The gross margin increase was driven by a favorable mix, with stronger demand for higher-margin flash products and pricing increases. In the second half, margin favorability may decrease as price increases slow. The company is using its balance sheet to secure inventory and gain an advantage. CXL systems are expected to have higher margins than the module business.
Q:Review of Unclear Management Responses
A:Management avoided directly addressing the specific impacts of NVIDIA's reference designs on the company's competitive positioning beyond stating that they are complementary. Additionally, while discussing photonics and CXL, management did not provide detailed timelines or quantifiable expectations for revenue contributions from these technologies.
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Earnings Word Cloud

The most frequently occurring keywords in this quarter's earning call
AI HPC
AI environment
AI factory
AI inference
Cache server
Deepgram
GPUs
Georgia Tech
HPC logo
KV Cache
MemoryAI
PMA
architecture AI
booking AI
compute memory
context
demand memory
diversification
ecosystem
end service
enterprise neocloud
enterprise voice
factory infrastructure
factory platform
generation AI
grade AI
inference AI
inference workload
infrastructure memory
intersection AI
latency
memory architecture
partner
position
production
speed

PENG Transcript

Penguin Solutions, Inc. (PENG) Q2 2026 Earnings Call Transcript
Positive4-1

The earnings call highlights strong growth in the Memory segment, driven by favorable pricing and demand, which is expected to positively impact operating margins. Despite some pressure on gross margins, the company is investing in AI and memory solutions, signaling optimism. The Advanced Computing segment shows strong pipeline momentum, and new memory launches align with strategic goals. The Q&A section reinforces confidence in durable demand and strategic positioning, with management effectively addressing supply chain challenges. Overall, the earnings call suggests a positive outlook, likely resulting in a stock price increase of 2% to 8%.

Penguin Solutions, Inc. (PENG) Q1 2026 Earnings Call Transcript
Unknown1-6

The earnings call presents a mixed picture. While there is growth in certain segments like memory, there are declines in others such as advanced computing and LED. The company faces challenges like supply constraints and a sequential revenue decline. However, strategic partnerships and a focus on AI infrastructure offer potential growth. The Q&A section reveals some concerns about revenue declines and supply issues, but also highlights opportunities in enterprise engagements. Overall, the mixed financial performance and strategic outlook lead to a neutral sentiment.

Penguin Solutions, Inc. (PENG) Q4 2025 Earnings Call Transcript
Positive10-7

The earnings report shows strong financial performance with significant growth in Integrated Memory and customer sales, alongside optimistic guidance for the AI business. The Q&A highlights strategic shifts and diversification efforts, despite some uncertainties around specific partnerships. The positive momentum in AI and non-hyperscale HPC/AI business, along with a focus on customer diversification, suggests a favorable outlook. Although there are concerns about margins and specific projects, the overall sentiment remains positive due to strong revenue growth and strategic focus on high-potential sectors.

Penguin Solutions, Inc. (NASDAQ:PENG) Q2 2025 Earnings Call Transcript
Positive4-4

The earnings call reveals strong financial performance with significant revenue and EPS growth, strategic partnerships with Dell and SK Telecom, and a robust share buyback program. Despite supply chain constraints and macroeconomic uncertainties, the overall sentiment is positive, bolstered by optimistic management guidance and strategic initiatives. The Q&A section did not reveal significant negative concerns, maintaining a positive outlook for the stock price.

PENG Slides

PDFPenguin Solutions Q1 FY26 slides: modest growth amid strategic AI pivot
2026-01-06
PDFPenguin Solutions Q4 & FY25 slides: 17% annual revenue growth, EPS jumps 53%
2025-10-07

Frequently Asked Questions

Where does this earnings call transcript come from?

All transcripts are sourced directly from the official live webcast or the company’s official investor relations website. We use the exact words spoken during the call with no paraphrasing of the core discussion.

How soon is the transcript available after the earnings call ends?

Full verbatim transcripts are typically published within 4–12 hours after the call ends. Same-day availability is guaranteed for all S&P 500 and most mid-cap companies.

Is the transcript edited or altered in any way?

No material content is ever changed or summarized in the “Full Transcript” section. We only correct obvious spoken typos (e.g., “um”, “ah”, repeated 10 times”, or clear misspoken ticker symbols) and add speaker names/titles for readability. Every substantive sentence remains 100% as spoken.

Why do some answers appear as “Unclear” or “Inaudible”?

When audio quality is poor or multiple speakers talk over each other, we mark the section instead of guessing. This ensures complete accuracy rather than introducing potential errors.

Who creates the AI Summary and Key Q&A highlights shown above the transcript?

They are generated by a specialized financial-language model trained exclusively on 15+ years of earnings transcripts. The model extracts financial figures, guidance, and tone with 97%+ accuracy and is regularly validated against human analysts. The full raw transcript always remains available for verification.

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