晟碟 (SNDK) 2027 財年第一季財報電話會議：AI 需求推動資料中心成長

晟碟 (NASDAQ: SNDK) 公布 2027 財年第一季營收達 110 億美元，受惠於 NAND 位元出貨量增加、價格調升以及資料中心快速成長。管理層表示，人工智慧 (AI) 基礎設施的需求正擴大 NAND 在推論工作負載中的應用，而長期新商業模式 (NBM) 合約則提升了需求的能見度。

重點摘要

• 營收達 110 億美元，季增 23%、年增 378%。管理層將季增幅的大致 60% 歸因於出貨量增長，40% 歸因於價格上漲。
• 受企業級 SSD 需求、BiCS 8 產品以及與包含三家美國超大規模雲端業者在內的客戶關係支撐，資料中心營收季增 61% 至 48 億美元。
• Non-GAAP 毛利率為 85.1%，Non-GAAP 營益率為 80.4%，Non-GAAP EPS 增加至 49.51 美元。
• 調整後自由現金流總計 57 億美元，約占營收的 52%。晟碟在本季度以 50 億美元回購了約 320 萬股股票。
• 針對 2027 財年第二季，管理層預估股票分割前的營收為 122 億至 126 億美元，Non-GAAP EPS 為 55 至 57 美元。
• 晟碟表示，2027 財年約 50% 的位元與 2028 財年約三分之二的位元已獲新商業模式 (NBM) 合約涵蓋。公司至 2020 年代末期的 NBM 需求儲備已超過可用供應量。

核心財務數據

業務與營運表現

AI 基礎設施驅動資料中心成長

管理層將資料中心描述為晟碟的主要成長引擎。公司估計，資料中心目前約占 NAND 行業總位元數的一半，而本世紀初（2020 年代初期）這一比例約為 20%。

晟碟的資料中心產品組合包括用於低延遲、高耐久性工作負載的 TLC 產品，以及用於資料湖和向量資料庫等容量密集型應用的 QLC 產品。管理層表示，目前的資料中心產品組合仍保持在大約 70% TLC 與 30% QLC，但客戶對 QLC 在更多應用場景中的興趣正重新燃起。

公司還提到 NAND 在 KV 快取 (KV cache)、檢查點設置 (checkpointing)、推論編排與模型訓練工作流程中的應用持續增加。管理層預期到 2020 年代末期，KV 快取將占 AI 資料中心快閃記憶體市場的大致三分之一，同時強調這仍是其長期展望。

BiCS 藍圖與 HBF 開發

BiCS 8 仍是晟碟當前量產產品組合的基石。BiCS 9 將 BiCS 8 記憶胞陣列與下一代 CMOS 相結合以提升介面效能，而 BiCS 10 則旨在跨 TLC 與 QLC 實現更高的效能與密度。

晟碟已完成其首款高頻寬快閃記憶體 (HBF) 晶粒的流片 (tape-out)，目前正進行製造。管理層表示，HBF 旨在為推論工作負載提供 HBM 級別的讀取頻寬與更大容量。公司仍按計畫將於下一個日曆年提供初始產品樣品，但 HBF 未包含在其長期財務模型中。

邊緣端與消費性產品趨勢

邊緣端營收季增 7% 至 58 億美元。高階與主流需求維持強韌，而低階市場則有所萎縮。汽車與物聯網 (IoT) 展現強勁成長，管理層將汽車視為邊緣端領域中具有長期重要潛力的市場。

由於市場正調整以適應較高價格，消費性產品營收季減 29% 至 3.97 億美元。儘管如此，管理層仍將消費性業務描述為可提供直接終端使用者需求訊號的策略管道。

長期客戶合約

晟碟在上一次法說會前簽署了額外兩份 NBM 合約，並持續與現有及潛在合作夥伴進行洽談。管理層指出，目前 95% 的 NBM 合約是與投資級企業簽署。

2027 財年約 50% 的位元與 2028 財年三分之二的位元均已簽訂 NBM 合約。晟碟預期 2028 財年的比例將適度上升，但管理層表示在分配產能供應時仍將保持嚴格選擇性。

管理層財務指引

毛利率展望包含同等比較條件下的溫和價格調升。管理層預計在 2027 財年期間價格將溫和上漲，並預期出貨量與價格均將對第二季的成長做出貢獻。

針對 2027 日曆年，管理層預期資料中心將占 NAND 市場的 55% 以上，繼 2026 年實現超過 100% 的成長後，位元需求將同比成長約 40%。

晟碟預期 2027 財年剩餘時間內的資本支出總額將會增加，相當於營收的中個位數百分比。公司繼續以 15%-19% 的位元成長為目標，目前尚無加速 BiCS 節點過渡的計畫。

董事會已批准 1 股拆 8 股的股票分割案。預計將於 11 月 19 日發放新股，拆股後的交易預計於 11 月 20 日開始。

風險與觀察重點

• 由於較高價格影響需求，消費性產品營收季減 29%。
• 管理層預期 2027 日曆年 PC 和智慧型手機的出貨量將略有下降，但單機搭載容量的增加預計將支持 EB 級 (exabyte) 的需求成長。
• 晟碟的財年第三季歷史上是季增表現最弱的時期。管理層建議對 2027 財年第二季至第三季的季增長採取保守假設，但並未提供正式的第三季指引。
• 短期供給分配受到大約 120 天的製造交期限制。TLC 與 QLC 的產品組合也限制了供給在不同終端市場之間轉移的速度。
• HBF 仍處於早期開發階段。其市場規模、客戶採用率、應用場景及營收實現時間均取決於產品送樣與整合的結果。
• 客戶對以 SLC 模式運作 NAND 的興趣可能擴大可定址市場，但可能會減少有效的位元供給量。管理層表示現在預測其採用率還為時過早。

分析師問答重點

資料中心滲透率：管理層將晟碟在資料中心的擴展歸因於 BiCS 8 技術、成熟的 TLC 產品、Stargate QLC 產品的產能提升，以及透過 NBM 合作夥伴關係建立的更緊密工程合作。公司預期至 2027 日曆年資料中心產品佔比將持續提升，但拒絕設定市佔率目標。

NBM 需求能見度：現有客戶要求追加供貨，新客戶則尋求簽訂合約。管理層表示，客戶普遍低估了 AI 基礎設施所需的 NAND 用量，但晟碟將在有限的可用供給下平衡這些需求。

供給與資本支出：儘管在 NBM 管道中直到 2030 年需求都將大於供給，但管理層並未改變其 15%-19% 的位元成長計畫。未來任何供給擴展都需要完成談判、取得客戶承諾以及相匹配的投資計畫。

SLC 商機：管理層表示，潛在的 SLC 需求將是額外增量，而非侵蝕 TLC 或 QLC 的現有市場。NAND 記憶胞可以在 SLC、MLC 或 TLC 模式下運作，但將產能轉向 SLC 會帶來顯著的產能權衡，目前仍由客戶評估中。

資本配置：晟碟打算維持無債務狀態，投資於包含 HBF、3D Matrix 記憶體與 BiCS 藍圖在內的技術，並將 100% 的剩餘現金回饋給股東。公司在過去兩個季度回購了 600 萬股股票，約占其原先已發行股份的 4%。

法說會完整逐字稿

---

完整財報電話會議逐字稿

管理層陳述

Operator

Good afternoon, and welcome to SanDisk's First Quarter Fiscal Year 2027 Earnings Conference Call.

[Operator Instructions]

Please also note, today's event is being recorded. At this time, I'd like to turn the floor over to Ivan Donaldson, Vice President of Investor Relations. Please go ahead.

Ivan Donaldson

Before we begin, please note that today's discussion will contain forward-looking statements based on management's current assumptions and expectations, which are subject to various risks and uncertainties. These forward-looking statements include expectations for our technology and product portfolio, our business plans and performance, our capital allocation priorities, market trends and opportunities and our financial results. We assume no obligation to update these statements. Please refer to our annual report on Form 10-K and our other filings with the SEC for more information on the risks and uncertainties that could cause actual results to differ materially from expectations.

We will also make references to non-GAAP financial measures today. Reconciliations between the non-GAAP and comparable GAAP financial measures are included in the written materials posted in the Investor Relations section of our website.

With that, I'll turn the call over to David.

David V. Goeckeler

Thanks, Ivan. Good afternoon, and thank you for joining SanDisk's Fiscal First Quarter 2027 Earnings Call. We began fiscal year 2027 with another strong quarter, creating value for customers and shareholders and delivering results above guidance.

Our strategy is working and our execution is delivering strong results. Revenue for the quarter was $11 billion. Non-GAAP gross margin was 85.1% and non-GAAP earnings per share was $49.51. We generated $5.7 billion of adjusted free cash flow and returned $5 billion to shareholders through share repurchases. Our confidence in the long-term trajectory of the business is grounded in 3 enduring strengths: technology leadership, deep customer partnerships and disciplined financial management.

These strengths are reinforced by a structural increase in NAND demand driven particularly by AI and by customer signals now extending beyond fiscal year 2030 through our new business model, our NBM partnerships. Together, they position us to invest with confidence in our technology road map, strengthen and expand our customer relationships, and deliver growing and durable free cash flow while returning capital to shareholders. It starts with our technology leadership. BiCS 8 is the backbone of our current production portfolio in the industry benchmark for performance and density across TLC and QLC. BiCS 8 introduced our CMOS directly bonded to Array, our CBA architecture, enabling the performance required by AI data center customers in establishing the framework for future generations. BiCS 9 pairs the proven BiCS 8 cell array with next-generation CMOS significantly increasing interface performance while retaining a mature memory architecture. BiCS 10 10 advances the full node architecture across both TLC and QLC with a 1 terabit TLC die designed for performance-intensive workloads in a 2-terabit QLC die delivering industry-leading density in twice the read and right bandwidth of BiCS 8. Together, these technologies will extend the BiCS 8 foundation to meet the evolving performance and capacity requirements of next-generation infrastructure. Beyond the core road map, high-bandwidth flash, or HBF, reached an important milestone in the fiscal first quarter with the tape-out of our first HBF memory die with fabrication now underway.

As we outlined at Investor Day, HBF is a new memory architecture for inference that targets HBM class read bandwidth with substantially greater capacity to support larger models, longer context lengths and growing KV caches. It is designed to complement HBM by bringing NAND class capacity closer to the processor, and we remain on track to deliver samples of our first HBF-based products next calendar year. HBF remains a future innovation and is not included in the long-term financial model we introduced at Investor Day. As customer adoption, product requirements and manufacturing readiness become more clearly defined, we expect to provide further perspective on the market opportunity. Customers recognize the strength of our innovation and increasingly view SanDisk as an important partner in achieving their growth objectives.

Through our NBMs, we continue to evolve customer relationships into long-term partnerships grounded in innovation, collaboration and shared commitment. Our most recent customers' engagements with the world's leading AI companies indicate further upside in demand for our technology. Our market-leading technology product portfolio and customer partnerships are the backbone of our strong financial position, which allows us to reinvest to maintain our technology leadership and expand supply through R&D-focused CapEx. Each of these strengths is reinforced by tailwinds from AI, the need for scalable memory and storage is expanding as inference workloads grow, making NAND increasingly integral to AI infrastructure. During inference, each generated token must reference the context that precedes it, creating a growing KV cache that serves as the model's working memory. Longer prompts, more complex reasoning, multimodal inputs and persistent user context materially increase these storage requirements. HBM and DRAM support the highest performance tier, while flash provides the capacity required to retain broader context efficiently and avoid costly recomputation. We believe this is a secular dynamic that is expanding NAND's role across the AI stack. The memory hierarchy defines the role of each NAND architecture.

TLC provides the lower latency, higher rate performance and greater endurance required for active data sets, check-pointing and latency-sensitive KV cache workloads. In our AI lab comparison, we presented at Investor Day, systems utilizing SSD delivered approximately 3x the token throughput while using approximately 75% less energy than comparable systems relying on volatile memory alone.

QLC further increases storage density for capacity-intensive applications, such as data lakes, vector databases that power AI search and retrieval repositories. Between these layers, a growing persistent context tiers, establishes data to be retained and recalled rather than regenerated. As inference costs declined, we expect the adoption and usage to expand, supporting our view that KV cache will represent approximately 1/3 of the AI data center flash market by the end of the decade and that the AI data center opportunity will approach the size of the NAND industry today.

Turning to our end markets. In data center, our portfolio addresses the full range of AI infrastructure requirements from performance-intensive enterprise SSD to high-capacity platforms. Demand remains strong and continues to grow, and we estimate that data center has expanded from approximately 20% of industry bids early in a decade to roughly half of the industry bits today. This structural shift in customer mix is reshaping industry economics and is central to the transformation underway at Sandisk. This quarter, data center again delivered strong growth and continued to outpace the broader market as we allocated more supply to address the growing demand from this end market. Edge is a large and strategically important market for Sandisk, spanning smartphones, PCs, automotive tablets and an expanding range of physical AI applications.

Automotive is becoming an increasingly important growth vector in our Edge business and a meaningful long-term growth opportunity. We have deepening engagements with leading customers reinforcing our confidence that automotive can become one of the largest markets within edge over time. Our consumer business remains a differentiated strategic asset, combining direct brand engagement with hundreds of millions of end users and broad shelf presence across the world's leading channel partners. The consumer end market provides a durable foundation for our business. while its direct connection to the market informs product development and provides early insight into shifts in end user demand.

Taken together, these results reinforce the durability of the model we outlined at our Investor Day. We have established a strong level of profitability and cash generation, and our focus from here is consistent execution across the portfolio.

With that, I'll turn the call over to Luis for a detailed update on our business and outlook.

Luis Visoso

Thank you, David. We're executing these strategies and plans that we outlined at the Investor Day, and we're delivering attractive financial results. In the first quarter, we closed 2 NBMs because. Both deals closed before our fourth quarter earnings call, we announced these partnerships on that call. We're in active conversations with existing [indiscernible] customers that are evaluating extending existing agreements and with new customers that are evaluating new NBMs. These long-term partnerships provide greater visibility into demand and financial performance, supporting a more durable financial model.

We will remain patient and disciplined in selecting the right long-term partners as we define the optimal percentage of our bids that we allocate to NBMs, which is slightly higher than our current levels. Revenue for the first quarter was $11 billion, up 23% sequentially and 378% year-over-year. This compares favorably with our guidance range of $10.3 billion to $10.8 billion. Both volume growth and higher pricing contributed to revenue growth, with approximately 60% of the increase attributable to volume growth and 40% to higher pricing. Data center revenue was $4.8 billion, up 61% sequentially, outpacing estimated market growth for the quarter. Our leading products and strong customer partnerships including 3 U.S. hyperscalers underpin our continued expansion in this fast-growing end market. Edge revenue was $5.8 billion, up 7% sequentially, reflecting resilience in premium and mainstream markets, partially offset by contraction at the lower end. Within Edge, we saw strong growth with automotive and IoT customers.

Consumer revenue was $397 million, down 29% sequentially as the market adjusts to higher pricing. We remain committed to serving all 3 end markets with our diversified portfolio that optimizes our performance over time. Non-GAAP gross margin for the first quarter was 85.1%, up from 84.6% in the prior quarter, driven by higher volumes and pricing. This compares favorably with our guidance range of 83% to 85%. Non-GAAP operating expenses were $513 million, representing 4.7% of revenue.

Non-GAAP operating margin was 80.4% compared to 79.2% in the prior quarter. Non-GAAP EPS was $49.51, up from $39.25 in the prior quarter and $1.22 in the same quarter of the prior fiscal year. This compares favorably with our guidance range of $44 to $46. We closed the quarter with 154 million diluted shares outstanding.

Key GAAP to non-GAAP reconciliation includes $91 million in stock-based compensation, representing 0.8% of revenue and $513 million gain on equity securities primarily attributable to our investment in Nanya. During the quarter, we repurchased approximately 3.2 million shares of our common stock for $5 billion. Over the past 2 quarters, we have repurchased 6 million shares, representing approximately 4% of our total shares outstanding. Our repurchases reflect our conviction in the long-term value of the business and our disciplined approach to capital allocation. We continue to invest appropriately in the business while returning 100% of excess cash to shareholders.

Moving on to free cash flow. Cash flow from operations was $6.4 billion. Gross capital expenditures totaled $378 million, representing 3.4% of revenue. We expect gross capital spending to increase during the balance of the year and represent mid-single-digit percentage of revenue for fiscal year 2027. During the quarter, we generated $5.7 billion in adjusted free cash flow, representing approximately 52% margin. We closed the quarter with $5.1 billion in cash and cash equivalents and no debt.

Moving on to guidance. Our confidence in the long-term health of the market is reinforced by the structural growth of our -- of the AI infrastructure and the expanding role of NAND across inference workloads. Before turning to our second quarter outlook, I will announce that the Sandisk Board of Directors has approved an [ 8-for-1 ] stock split of the company's common stock. The additional shares are expected to be distributed on November 19 and trading on a split-adjusted basis is expected to begin on November 20.

For the second quarter of fiscal year 2027, we expect revenue between $12.2 billion and $12.6 billion. We expect non-GAAP gross margin between 84.5% and 85.5%, which includes modest like-for-like price increases. On a pre-split basis, we expect non-GAAP EPS between $55 and $57, assuming 151 million fully diluted shares.

On an 8-for-1 split-adjusted basis, this equates to non-GAAP EPS between $6.88 and $7.13 and assuming approximately 1,208 million fully diluted shares. For context, we expect a strong market in calendar year 2027. Data center is expected to be, again, the engine of growth and represent over 55% of the market, with bit demand growing about 40% year-on-year enabled by higher AI-driven capital spending. This is after more than doubling in 2026. Our NBM pipeline exceeds our supply throughout the end of the decade. With that, let me turn the call back to David.

David V. Goeckeler

Thank you, Luis. We continue to execute on the strategy we outlined at Investor Day, reinforcing our confidence in Sandisk's long-term trajectory. Our technology leadership, deep customer partnership and disciplined financial management, supported by a structural increase in NAND demand driven by AI, position us to serve our customers, deliver growing and durable free cash flow and return capital to shareholders. Over the past year, we have transformed the earnings and cash generation power of the business and established a strong foundation for durable performance. We remain focused on disciplined execution, sustained value creation and delivering against our long-term financial objectives.

With that, Ivan, let's open it up for questions.

Operator

[Operator Instructions]

Our first question today comes from Ben Reitzes from Melius.

分析師問答

Benjamin Reitzes

I appreciate it, Dave. I wanted to ask two, if I could. One on the NBMs. You signed 2 before the last call. So I'm just wondering if we're going to have a lot more of them because it seems like you're already capacity constrained to agree to them. And then do you mind reminding us what the bits under contract will be in the next few years, if that's changed at all? And then I have a quick follow-up.

David V. Goeckeler

Yes, I'll make a few -- thanks, Ben. We appreciate it. Always good to hear from you. So I'll make a few comments on NBMs and then Luis will fill in. Yes, we've got a very strong pipeline of NBMs and you kind of hit on all the issues there. As the portfolio gets more subscribed and more committed and we're at half the bits for this fiscal year and 2/3s for next year. It's a fitting exercise to get the next tranche of them in there, but the pipeline is very strong. I think we said last quarter -- I know we said last quarter that we're going to be patient and consider the next set of customers. And that's exactly what we're doing.

And we expect more of them over the next several months, several quarters as we continue to allocate the rest of the portfolio. So the pipeline is very strong and growing, quite frankly, and it's become the predominant way we deal with our customers. And I expect that the percent of the portfolio committed to continue to go up over the next couple of quarters. So Luis?

Luis Visoso

Yes. I mean just a few things I think David covered most of it. We feel very good about where we are with NBMs. As you know, we've been very selective, very strategic in who we chose to sign these deals with. We're looking at the companies we have and today, 95% of our NBMs -- sorry, with companies that are investment grade, and they generated about $130 billion in operating cash flow. So we feel that we've made the right choices. And as David just mentioned, we'll continue to be patient.

We'll continue to be selective and the pipeline is terrific. So you should expect us to make -- continue to make progress. I think in my prepared remarks, I said that we expect the bids to continue to grow we had shared with you that about 50% of our bids are under NBM for '27 and about 2/3s for '28, and we expect that number to continue to go a little bit higher from the 2/3s.

David V. Goeckeler

Ben, I'll just make one more comment. You got to ask two questions. I'll make 2 comments. We're also balancing customers that are coming back for more like that is a real thing. And in general, we're hearing from our customers that they have underestimated the amount of NAND they need to run their infrastructure. And so we have multiple customers coming back for a second round, and then balancing that against bringing new customers into the portfolio. So there's a lot to sort out, and these are big complicated agreements. But we feel very, very good about where the pipeline is, where the portfolio is at, the products are resonating. And we'll continue to update you as we build out the portfolio of NBMs over the next couple of quarters.

Benjamin Reitzes

Okay. Great. And just a quick follow-up. You may have seen that Intel guided down for the next quarter due to PCs and it really the impact of the memory is more than anybody thought, at least with their guidance, I don't know about anybody else. Just wondering if you are seeing NBM interest from those in the PC market more and how you -- if there's -- if that market, with regard to some of the device makers, is something that will become an NBM or is actually now getting more attractive because they're willing to pay more. How should we think about that as it looks like they're starved for product and missing numbers in that segment?

Luis Visoso

Yes. I mean, Ben, we have -- we cannot talk about specific customers. What we've said in the past is we do have NBMs in the data center business. It's data center-centric. But we also have customers on the edge. And we've offered this construct to any customer that wants it and start a process where it makes sense. So we're not trying to restrict it from any customer. We're open for business.

David V. Goeckeler

So Ben, the other thing I'll say to this. I mean, we are looking at this in our own reviews. We know that units were down this year. They're going to be slightly down next year, low single digits. I mean these 2 calendar quarters right now are really the trough of the year-over-year compares where they're the most negative. And so this is where we're feeling the biggest amount of change in that market on a unit basis on a year-over-year basis. All that said, we expect the PC exabytes to grow next year. And in fact, we think our internal models are every segment in the NAND market, PCs, smartphones, data center, will all show positive growth next year because of content per device continues to go up as part of that is mixing to premium. So there's no doubt there's been a market adjustment.

In many ways, we're in -- as I said, from a unit basis, we're in the teeth of that on a year-over-year basis, but we see improvement from here.

Operator

Our next question comes from Joe Moore from Morgan Stanley.

Joseph Moore

Great. It seems like the underlying story here in addition to just how good the market is, is your presence in data center, you're up almost 20x year-on-year, up 61% sequentially. Can you talk about -- obviously, the market's good but it seems like your participation is also a lot better. Is that because of BiCS 8? Is that just because the market is different? Just what is it that's allowing you to get to those levels of penetration. And if data centers half of bits at some point, would you get to that in your own mix as well?

David V. Goeckeler

Yes, Joe. So thanks for the comment. We feel very good about where we're at in Data Center. I mean anything where you see the kind of numbers we posted year-over-year is a combination of things. I mean it starts with the fundamental NAND node. BiCS 8 is a very good node. CBA gives you very clean CMOs, which is very good interface speeds, all those kinds of things. We built the right products. We've had a TLC product in the market for several years now. It was just a couple of quarters ago that we started selling our QLC product for revenue and that we expected a faster ramp and that's happening. So we got the right product at the right time based on the right technology.

And then over the last quarter or so, there's been a lot more refinement of the AI inference architecture is what I would say. When I look at the market and we kind of decompose it internally, customers are just getting more refined about how they're using NAND, where they're using TLC, where they're using QLC all different phases from KV cash to staging to fast data lakes and all the sub parts of those markets, inference and agent orchestration, model pretraining model post training, there's just a general. We're seeing NAND be applied in a more, I would say, nuanced way.

In the past, QLC is being used in the right places and you're even seeing QLC sub customers even move into like KV cache where it can be supported. On the other side of the spectrum, we're seeing SLC being pulled into the architecture. It's not really in sales yet. It's more in architectural conversations. And it's not a performance type of conversation. It's more endurance think like during agenetic workloads, the amount of endurance required. And in that place, it's kind of where can we substitute NAND for DRAM. And we think those kind of architectures will be very sticky over time.

Once you make that transition, you're going to stick with it given the price differential. So we see all of these things working together and I think these NBM set us up for these very deep and strategic level conversations with our customers about how they're using our product deep discussions with our engineers about how they could use our product to solve different use cases and all of that is leading to a tremendous pull on our portfolio. And like I said, our biggest customers, we've already signed one second tranche of an NBM and we're in discussions in others. So the whole setup is very strong, and we feel good about it, and we appreciate your recognition of the performance on a year-over-year basis. It really is quite outstanding.

Joseph Moore

That is surprising. And where do you think the mix goes long term in terms of good [ overhead ]?

David V. Goeckeler

So yes, we're working hard to catch up to have our portfolio mix equal what the market bits are. And we're going to continue to make progress throughout calendar year '27. We'll see if we actually catch up by the end of the quarter, but I think we'll get to a substantially higher number on mix than we are if we look back at calendar year -- our fiscal year '26. We'll continue to make progress here.

Operator

Our next question comes from Mark Newman from Bernstein.

Mark Newman

On the -- if I could just first talk about price and volume in the guidance. You talked about in the fiscal Q1 that you just reported, I think you said 60% of the revenue growth from volume and 40% from pricing. Baked into your guide, I mean, how do you expect that mix to progress? Any comments on pricing? I appreciate that you've got a very high portion of volumes on these NBMs but still wanted to get some clarity on pricing, I think there's a comment that modest improvements in pricing in Q2, any further clarity on that? And then I have a follow-on question on HBF and some of the new NAND technologies as well.

Luis Visoso

Yes. So let me take the first one. Yes, you're right. We reported -- about 60% of the revenue growth came from volume and 40% from pricing in Q1 roughly and we do expect both to contribute in the next quarter. We normally don't break this mark into its pieces. But we do expect some modest pricing as we put in our prepared remarks. So we do expect both to contribute during the quarter, and we expect pricing to continue to increase modestly throughout the year.

Mark Newman

That's helpful. Fair enough. And follow-up question is on HBS and other new NAND technologies in the data center. So there was a comment about some progress on HBF, which was great to hear. But I wondered if there's any more comments on progress and discussions with partners and customers, anything there. And the other thing, Dave, you mentioned about some of the other new NAND technologies in the data center storage next and then there's also the CMX context memory. Just what's your view on all these types of new NAND tiers in the data center, do you think they all win? Just any kind of comments on the interplay of all these and the roles each and how Sandisk plays in and the timing would be really appreciated.

David V. Goeckeler

Sure. So Mark, no the conversations with potential customers on HBF are robust and continue to be -- we'll continue to have those conversations as we go into putting product samples in their hands that they can start to use and understand how it's going to fit in their system. So we'll continue to update on that, but it's kind of an always on conversation.

Your second question. I think this is like very, very healthy for where AI inference is, which is, as it scales out, it needs to be -- the architecture is just being relentlessly refined for economics and that's a very good thing because it's going to make -- it's going to scale, the more economic it is, the better -- and that's pulling NAND into more parts of the architecture because NAND is the most scalable semiconductor technology, right? So we're seeing -- like I said, we're seeing -- if you would go back a couple of years ago, it was all about going for more density again, going from TLC to QLC, we're still doing that, right?

That's still a big part of the strategy. But now there's some of it even going in the other direction. How do I use -- how do I get more endurance in specific parts of the architecture is the endurance in the performance I get out of NAND good enough to solve the use case at a part of the architecture, where I can use it over competing technologies that may be significantly more expensive and difficult to acquire.

So I would say this is a very, very dynamic discussion. There's a lot of ideas on the table. I think there should be a lot of ideas on the table. I think they'll all be pursued. And I think that the most important thing is to stay close to the people that are spending the money to scale the infrastructure. Because in the end, they'll make the decisions of what's right for them based on the use cases they're trying to solve at scale and where they're putting all this money behind it. And we're deeply -- we're deeply engaged in those conversations, and I expect them to continue to be very robust to have a lot of different ideas about how we could structure our technology in different directions to fit more and more use cases and building a product, it's always the same thing.

I want the right technology at the right time and the right intensity at the right cost and really not anything less or anything more. And that's what building a product is all about because you can deliver it at the right price and then you can get the right return on it. So that process is full on in AI architecture working with our customers.

Operator

Our next question comes from David Gibson from MST Financial.

David Gibson

Just wondering -- thanks very much for your time today. Just a quick one. Just wondering whether you're looking to accelerate the BiCS transition from 8 to 9, 10 and so forth as a way to accelerate the bit growth in the short term and then satisfy some of that very strong customer demand.

David V. Goeckeler

No. I mean we're committed to the bit growth we talked about, mid to high teens. Those nodal transitions require a lot of planning and tool purchases and where lines are set up. So we're still -- we have that fab plan set up for the kind of bit growth we've been talking about for a long time. So no plans to change that at this point.

David Gibson

Okay. And just 1 follow-up. You talked about earlier about allocating more supply to the data center in Q1. Are there any limits to increasingly allocating your bits to data center?

David V. Goeckeler

Well, I mean it's -- that's very -- in some ways, yes. I mean out of the fab, you come out with a certain mix of TLC, QLC, certain dynamics, all these kinds of issues. So it's a constant fitting exercise of getting the right product to the right customer and there's a lot of magic that goes on in the organization and Luis' organization is a big part of that working with our sales teams of what is the available inventory, what's coming out of the fab, what's the mix? And where is it all going to go? Do you want to say a little bit more about that.

Luis Visoso

Yes, I think the only thing I would add, obviously, changes depending on the time frame we're looking at over the short term, it's almost impossible to do anything. It takes 120 days or so to produce a wafer. But obviously, as you look further out, there are more degrees of freedom.

Operator

Our next question comes from C.J. Muse from Cantor Fitzgerald.

Christopher Muse

A question on the comment around your NBM pipeline exceeding supply through the end of the decade in the slide deck. I guess can you elaborate on that? And how is that changing kind of your thought process around what bit supply will look like for the industry over the next handful of years? And how are you adjusting, if at all, your CapEx plans. I know you talked about mid-single digits, which implies roughly $2.5 billion to $3 billion gross CapEx, fairly low kind of number. So I would love to hear kind of your thoughts on how the visibility is impacting your thoughts around bit growth and supply.

David V. Goeckeler

Well, I mean, I think my first thing I say about, C.J., is the process is working. I mean it was only 2 or 3 quarters ago, we talked about even instituting this kind of business model, and we had some customers that were like-minded, and we made some very good progress. And here we are a couple of quarters later, and it's -- we talked about this after our Investor Day, we had customers coming to us offering NBMs. And that now becomes -- it's not the only way we do business.

There's lots of customers with lots of different volume levels and different products, and we want to meet our customers where they are. There's no doubt about that. But it's very good to see that we have a robust pipeline now through the end -- through 2030, and we're even getting beyond that, as we talked about of customers that are really willing to give us their demand signals and financial commitments. And to the question earlier, those kinds of things will allow us -- if we choose to eventually start changing supply and demand and all those kinds of things, but we're just not there yet, right?

We got to go through negotiations on all of those.

We've got to get commitments. We've got to get everything all aligned. But I would say the process is working well. We're very happy with where it's at, and it gives us a lot more visibility into how we plan. But the process is still underway, right? It's still underway. And we'll -- as I said, we'll continue to update you over the next couple of quarters as we make progress.

Christopher Muse

Just a quick follow-up for Luis. On these contracts and considering some have deposits, are you able to use those deposits for buybacks? Or is that cash restricted?

Luis Visoso

Yes. In theory, we could, C.J. But as we explained at Analyst Day, a vast majority are financial guarantees, which are held by third-party financial institutions. So they are not in my balance sheet. The only thing that's in the balance sheet is prepayments and we -- that's by far the smallest amount. But there is no legal restriction on that.

Operator

Our next question comes from Karl Ackerman from BNP Paribas.

Karl Ackerman

It's encouraging to see increasing NAND content per XPU and AI servers to support at cash demand, which I think compares to reductions in memory content and some server SKUs. But Dave, could you discuss how you see enterprise SSD content per server progressing in 2027 in the context of this agentic AI proliferation because it's certainly becoming a larger portion of your portfolio?

David V. Goeckeler

Yes. That's a big question, Karl. I mean, look, what we're doing is there's no doubt in inference agent orchestration that our product is tied to kind of CPU demand in -- for those type of applications. I mean we know at a pretty granular level the amount of demand that we expect per CPU, something 60 to 90 gigabytes per CPU is what we see in those kind of applications. I haven't run the math against what the server TAM is and kind of what the elasticity is between those two, but we can follow up on that. But as I said earlier, we continue to see more NAND being pulled into the inference architecture in all parts of the architecture and in very different ways, right? TLC, QLC and as I said earlier, now, people looking for high endurance solutions that will fit -- work -- fit parts of the workload where they don't need to use DRAM and they can use that type of NAND. So it's all very encouraging, and we'll continue to stay close. But we'll do some work on the 2 TAM analysis and what the trade-offs are between them.

Karl Ackerman

Sure. If I may, a quick follow-up. Do you have an updated view or progress on your goal for enterprise SSD share? I mean can you achieve perhaps a low to mid-teens share in 2027 because you're seeing quite success right now?

David V. Goeckeler

Yes. We're probably not -- I mean, in the past, many years ago, we put some share goals out there, and I've tried very hard not to put share goals out there because sometimes it leads to kind of perverse choices in the portfolio. We want to maximize the value of the portfolio across all time horizons, near term, midterm, long term. So we want to keep some balance into it. Clearly, we're going to mix higher into data center. I mean you see that. We talked about that earlier. I think 17x growth year-over-year. You don't see a 17x very often in a business at this scale. And as I said, I expect that to go higher as we go through '27. In the balance point, in some ways, will be end will depend quarter-by-quarter or what we see and then what NBMs we signed, right? Those will give us a big -- a lot of visibility over the next several years where we see that mix going. So it's going higher, but I'm not going to put a specific target out there.

Operator

Our next question comes from Vijay Rakesh from Mizuho.

Vijay Rakesh

Just a -- great quarter and guide. Just a quick question. As you look at data center, [ 2026 ] looks like you mentioned demand bit growth, which is massive. As you look at this BiCS 8, BiCS 9, BiCS 10 transition, does that help you drive some bits to meet that demand? How is the supply on that side? I guess and I have a quick follow-up.

David V. Goeckeler

Look, I mean, BiCS 8, BiCS 9. BiCS 9 is a big part of a data center strategy of being able to get faster interface fees with the same cell and kind of what CBA gives us that flexibility. We talked about that at Investor Day. So in that sense, yes, those are big parts of the strategy. There's no doubt about it. So as I said earlier, it's about getting the right product to the right customer and the TLC product has been performing very, very well for quite some time now, and now we're seeing the ramping of QLC and we'll see some ramp of BiCS 9, but BiCS 10 is still a little ways out, right? I mean we announced BiCS 10, we're still ramping BiCS 8. So we've got a ways to go before we get out to some of those future BiCS nodes.

Vijay Rakesh

Got it. And then on the endurance side, as you mentioned, some of your peers talking about SLC NAND out there. Any thoughts how that plays out next year? Obviously, that could tighten up the NAND market as well in addition to what you're seeing in just overall demand growth, I guess?

David V. Goeckeler

Yes, I think it's a little early to have a very strong view on that, right? We are talking to some customers that are giving us some signals of demand for SLC. I mean, clearly, you start making SLC and you're going to take away. There's a clear trade ratio of 3:1 for 1, whether it's TLC or QLC. So it will impact the overall supply of the market depending on how much SLC is used and how much really gets deployed. But it's a little early to put a specific forecast on it right now.

What I would say, it's -- it's an architectural discussion and a request from customers of better understanding the technology and how it could fit part of the use case as they build out their inference architecture. So we'll update you as we go over the next couple of quarters, and we'll see how this develops. But definitely something to keep an eye on.

Operator

Our next question comes from Jim Schneider from Goldman Sachs.

James Schneider

I was wondering, maybe on a more tactical basis, your consumer business obviously has seasonality in Q1 historically. And obviously, the PC business does too, but data centers is in a, sort of, secular growth mode. So Luis, based on your visibility at this point, I was just wondering if you could maybe give us any kind of color on whether you'd expect Q1 to be sequentially up, down or sideways roughly?

Luis Visoso

So fiscal Q3, you mean?

James Schneider

Yes, the March quarter.

Luis Visoso

Yes. So if you look at historically, right, our Q3 is normally our weakest sequential quarter. So last quarter, for example, our bits were down 19% sequentially. So If I -- we're not guiding Q3, but for modeling purposes, I would be conservative in your sequential growth from Q2 to Q3.

James Schneider

And then just as a matter of principle, on the buybacks, it's good to see the continued execution there. I'm just sort of curious as you sort of start to run down the authorization. Would you expect the Board to re-up their authorization on a quarterly basis? Or maybe you could provide us any more color on how you're thinking about executing on the actual buybacks given a much lower stock price today?

David V. Goeckeler

Yes. So we're -- we have a very clear strategy, 100% of excess cash is going to go back to shareholders. We're going to execute that aggressively or appropriately, and we know how to get a hold of the Board. We have meetings every quarter. And so I don't expect any impedance on that side of the -- from us about how we execute. I expect us to continue to be -- I don't expect us to be, we will be continue to be faithful to our strategy, which is we're going to return 100% of excess cash to shareholders. We're off to a good start, I think, over the last couple of quarters totally. I think we bought back 4% of the market capital of the shares outstanding of where we started, and we're going to continue to execute that program appropriately.

Operator

And our next question comes from Krish Sankar from TD Cowen.

Unknown Analyst

This is Steven calling on behalf of Krish. The question I have for Dave. I guess looking at your CSP customer base, I kind of wanted to get some color on what the prevailing demand currently is between TLC versus QLC bits? And kind of going forward with the NBMs in place, does that TLC versus QLC mix shift meaningfully later this decade?

David V. Goeckeler

We're still like at that 70-30 number on TLC to QLC, TLC has been a big driver of the portfolio. We are hearing more from our customers about a reacceleration of QLC in different use cases. And so we'll see how that plays out, as you said, through the end of the decade. But yes, that's where it is. I mean that 70-30 number is a pretty good number. And of course, there's some fluctuation quarter-to-quarter a little bit up and down here and there, but that's where it's been, and that's where we expect it to be at least for the next -- the rest of this fiscal year.

Let me put that time horizon and then we'll see what customers are thinking about QLC as we continue to have those discussions. And I will say the ramp -- the Stargate product has been -- which is our QLC product, I don't use too many internal names here, but it's been very well received. It was not that many quarters ago that we were talking about going through qualifications, that's all 100% behind us. Customers are ramping. It's been a very, very well-received product in a very key part of the portfolio.

Unknown Analyst

Got you. And as a quick follow-up, a question on the mobile edge market. Just given the double-digit declines in that market this year as well, but albeit concentrated in the kind of entry and mid-tier of the market. I'm kind of curious like from the demand signals that some of your customers in that work that are giving you, can your mobile bits still grow next year overall?

David V. Goeckeler

Yes. I think let's talk about the market first. I mean you got it. I mean, the low end under pressure, but that leads to a unit decline but a content per unit increasing. So when you add it all up, we expect growth of exabytes in that market next year on a slightly declining unit count. As far as our portfolio, I mean, we don't -- it's kind of like a data center. I don't want to make projections on individual markets.

We will manage the portfolio with agility and flexibility. We've been very clear that we want balance in the portfolio. But we're going to optimize the financial outcome over the short, mid and long term kind of integrate those to get the best outcome, and we'll update you on what the mix of mobile is as we go forward.

Operator

Our next question comes from Wamsi Mohan from Bank of America.

Wamsi Mohan

Yes. In your slide deck you say leading AI companies could indicate further demand upside I was wondering if these are AI labs or Neo clouds? And are any of the credit concerns around the new clouds filtering back to you in any way that you can see at the moment? And I have a follow-up.

Luis Visoso

Yes. We haven't seen any of that. To the contrary, we're seeing very strong demand from our customers. And as I said, if I look at our largest customers, they're basically all investment-grade companies. right, generating very strong cash. So we're not seeing any impacts from any credit issues whatsoever if they are out in the market and demand from our customers is, if anything, strengthening versus where it was a quarter ago.

Wamsi Mohan

So to clarify there, Luis, when you say leading AI companies that you're offering to AI labs over there?

Luis Visoso

We sell to everybody in our business. We sell to hyperscalers, we sell to model makers, we sell to everybody.

Wamsi Mohan

Okay. And then just on linearity in the quarter, it seems like receivables picked up a little bit. Is that something that we should expect because of payment terms as more bits go under NBM? Or was there something else in the quarter?

Luis Visoso

No. We basically saw a little bit of a change in customer mix. And that has a little bit of an impact on our receivables a little bit on linearity, but it's mostly customer mix.

Operator

Our next question comes from Amit Daryanani from Evercore.

Amit Daryanani

I guess, David, just to start with on the capital allocation side, as you transition towards becoming a more predictable NBM driven business model, does that change how you think about your capital structure? And historically I think memories perceived to be more cyclical so balance sheet flexibility has been important. But as you become structurally, I think, less cyclical, would that support a willingness to take on leverage and potentially accelerate the capital returns or is it comfort still with the $5 billion a quarter buyback which is fairly impressive. I'm just wondering, at what point do you say we can take on more leverage and take advantage of the fact that we're less cyclical?

David V. Goeckeler

Yes. I mean we put a financial model out. I mean we just talked -- we just spent 3.5 hours talking about this at our Analyst Day, and we committed to a financial model through the end of the -- through 2030, which I think was pretty impressive. And we plan to execute that, and we're very comfortable with the strategy we have of staying debt-free, very strong balance sheet and then returning -- investing in our business. We have a growing business and lots of opportunities for internal innovation, which we're going to continue to invest in like HBF and 3D Matrix memory in addition to the BiCS road map and all the great products we build.

And after we do that, we're going to return 100% of the cash flow to shareholders, and that's the plan, and we're going to go execute that for the foreseeable future. And so we get up at another point and tell you we're going to change it. But I don't anticipate that -- I don't anticipate that happening in any kind of near-term time frame. Fair enough.

Amit Daryanani

And then maybe just on HBF and rather trying to ask you to frame how big the TAM could be. Could you just talk about what the scaling variable really is every year as inference models and context windows expand, should we think HBF capacity to grow in line to GPU compute or potentially faster and I think you said you will start initial sampling in '27. What's -- what are the key milestones from there to becoming a meaningful revenue ramp as well?

David V. Goeckeler

Well, I mean, so it's a little early for your first question. But on the second question, we get to die back. We have the base die, which we'll tape out, which is the controller, we'll put them together, put it in customers' hands. And then they start to see how the product is going to work in their infrastructure. We've obviously done a lot of modeling on that, but actually having the actual product and then doing the integration work. That will then lead -- that kind of feedback from the customer will then lead to be able to start to answer some of the questions that people have. Like what's the market opportunity how fast is it going to happen? What's the TAM? Where exactly is the architecture going to fit. We're going to follow our customers on that. But the big step is to actually put a product in their hands.

And then that leads to a whole another set of conversations with them we actually have the device that we're -- instead of running simulations, we're seeing exactly how it performs in their infrastructure. And does it deliver the results of what they're expecting. And we'll also -- that also helps you continue to expand the set of use cases, right? At this point in development process, you want to be a little bit careful you don't engage too much because you're overwhelming your engineering team with 1,000 ideas of how the product can be used.

So as we get -- as we get actual device that we can put in people's hands, we can open the aperture on those kind of conversations, which will, I think will lead to more use cases for the product. But that's that's still TBD. So I think a lot of things start to happen when you get to that next milestone of actually having a real product. You can -- people can start to -- they can start to use and understand how it impacts what they're trying to do, which is deliver a world-class inference architecture at the best cost point possible. And we think this is a fantastic technology for doing that. But we'll see when we get there and we produce it.

Operator

Our next question comes from Mehdi Hosseini from SIG.

Mehdi Hosseini

David, I want to go back to -- sorry, for the audio. David, I want to go back to what you said earlier, you said that the AI inferencing is being refined, having an impact and more SLC needed. And my question to you is, is this having an adverse impact on adoption of TLC or the growth of TLC or SLC is additive to the same demand by TLC and QLC?

David V. Goeckeler

No, I don't think it's a cannibalization of other NAND products. I think it's an expansion of the TAM into areas that you need different attributes of the technology. You need different endurance, you need different performance. And we can take our product and we can run anything out of the fab in an SLC mode. So there's a lot of flexibility in the product. And I think our people are discovering that and starting to understand how can I apply this in ways where I get I get the attributes I want for the problem I'm trying to solve.

So it's just a more refined view of the architecture, but I don't see it as cannibalizing other parts of the NAND stack. If anything, I see it is -- and I want to be careful on this because it's still early, but is it good enough to replace places where I'm using DRAM, right? Can I get enough endurance? Can I get enough performance if I run NAND in an SLC mode because the cost differential is like huge, 20 to 40x. So I take it as a very healthy sign in many ways, Mehdi. One is like very, very real about how you scale an architecture. When you scale an architecture, you got to do it in the most cost-effective way possible.

And again, NAND is the most scalable semiconductor technology. And so it doesn't surprise me that people are finding more ways to use it. In many ways, I think scalable technologies kind of attracts TAM, and I think that, that's what's happening here as these architectures are getting more detailed and more refined.

Mehdi Hosseini

Okay. Let me come from a different angle. And if there is this demand for more enduring SLC and as customers wait for commercialization of HCF. What is the JV's flexibility in adding some SoC capacity to meet that short-term demand.

David V. Goeckeler

No, we don't -- I mean, we don't -- there is no -- I mean I wouldn't think of it as SLC capacity. You can take any -- ourselves are flexible enough that we can run them in whatever mode we want, SLC, MLC, TLC. So we can supply the market with the wafers we have, right? That's how we think about it. And I understand the question of wanting to go to the supply question right away, but it's just like super early to that. These are conversations at this point and customers exploring how they can use technology starting to get some idea of what their demand would be if you use it this way. It's something to keep your eye on. It will impact the market about that because SLC is a little bit of SLC, it is a lot of QLC, but more -- I guess more to come, Mehdi.

Operator

And at this point, ladies and gentlemen, we'll be ending today's question-and-answer session. I'd like to turn the floor back over to management for any closing remarks.

David V. Goeckeler

All right, everyone. Thanks for joining us on the call. We appreciate it. Great conversation, and we look forward to seeing you throughout the quarter. Thank you.

Luis Visoso

Thank you.

Operator

And with that, we'll conclude today's conference call and presentation. We do thank you for joining. You may now disconnect your lines.