Bernstein Analysis: Can $142 Billion in Long-Term Orders Support the Memory Cycle?

TL;DR

• Bernstein focuses on Micron and SanDisk's new LTAs, believing long-term procurement agreements are improving memory revenue visibility.
• The two companies disclosed combined RPO of approximately $142 billion and financial guarantees of around $33 billion, but this is far below the model's protection scope.
• LTAs can raise the cost for major customers to back out, but consumer, Chinese customer, and spot demand will still retain cyclical fluctuations.

In its latest report, Bernstein has put the spotlight back on long-term procurement agreements in the memory industry: Micron and SanDisk have signed a new batch of LTAs with procurement commitments, minimum prices, and financial guarantees, attempting to provide a floor for profits in the coming years.

This floor may not be as thick as it seems.

According to public filings and conference calls from Micron and SanDisk, Micron has signed 16 strategic customer agreements, of which 14 have cumulative minimum revenues of approximately $100 billion calculated at minimum contract prices, with related cash deposits and financial commitments of about $22 billion. SanDisk's three in-quarter contracts correspond to approximately $42 billion in minimum contract revenue, with a total of over $11 billion in financial guarantees across five agreements.

The combined ~$33 billion in guarantees from the two companies does make it more expensive for major customers to walk away. However, Bernstein's model estimates the revenue scale that might need LTA protection over the next 3-5 years at around $5.2 trillion. By this report's measure, the existing guarantees represent only about 0.6%.

This is the divergence the report aims to highlight: LTAs are changing the negotiation positions between memory companies and their major customers, but they act more like a cushion for the downside cycle, not a transformation of DRAM and NAND into utilities.

Major Customers Locked into Long-Term Agreements, Guarantees Become Real Money

LTAs are not complicated. Customers commit to procurement volumes for several years in advance, and suppliers provide supply assurance and pricing mechanisms. If the customer doesn't buy, they may lose prepaid guarantees or bear other economic costs.

What's different this time from past memory industry procurement intentions is the inclusion of financial guarantees in the contract structure.

As of June 2026, Micron had signed 16 strategic customer agreements, including 4 hyperscale customers and 3 mid-sized customers. Cumulative minimum revenue calculated at minimum contract prices for 14 agreements totals approximately $100 billion, with expected cash deposits and related financial commitments of about $22 billion. This scope includes signed agreements and those signed post-quarter and is not entirely equivalent to the balance sheet's period-end RPO.

SanDisk disclosed that as of April 3, 2026, its RPO was $41.6 billion. The company also mentioned in its conference call that three in-quarter contracts provide approximately $42 billion in minimum contract revenue, five agreements total over $11 billion in financial guarantees, and cover more than one-third of bit supply for FY27.

The mechanisms differ between the two companies. Micron's guarantees emphasize back-end weighting. As contracts progress and customers' remaining procurement obligations decrease, the ratio of guarantees to RPO rises, making the cost of backing out heavier in later stages. SanDisk's approach is closer to fixed-amount guarantees, which are expected to remain relatively stable over the contract period.

Micron: 16 agreements, RPO ~$100 billion, guarantees ~$22 billion; SanDisk: 5 agreements, RPO ~$42 billion, guarantees >$11 billion.

This is what bulls value most. The biggest problem for the memory industry in the past was that profits collapsed too quickly when prices fell. If major customers are willing to pay guarantees for long-term supply, suppliers at least gain clearer revenue baselines, and capex and capacity planning don't have to be entirely dictated by spot prices.

$33 Billion in Guarantees Isn't Thin, But It Can't Cover a Deep Downside

The scale of guarantees and the revenue scale needing protection are not in the same league.

Bernstein's model estimates that if LTAs were to cover potential revenue over the next 3-5 years, the corresponding protection scope would be about $5.2 trillion. This number is based on the report's model scope; public company filings do not directly disclose similar industry-wide revenue figures, and distinctions need to be made between memory, total semiconductor revenue, and supplier sample revenue.

Even so, a 0.6% guarantee ratio illustrates one thing: LTAs cannot guarantee profitability under all price scenarios.

If spot prices merely decline moderately, backing out is not worthwhile for customers. Losing guarantees, damaging supplier relationships, and potentially missing out on scarce capacity in the future are costs sufficient to keep customers fulfilling contracts. The demand for stable supply from AI servers, cloud providers, and data center customers is also stronger than that from ordinary consumer electronics customers.

However, when prices fall deep enough, customers will still weigh the economics. As long as the remaining procurement volume is large, and the spot price is low enough relative to the contract floor price, customers might find it cheaper to buy from the open market even after losing their guarantees.

The back-end weighting mechanism can mitigate this issue. The further into the contract, the lower the remaining RPO, and the higher the ratio of guarantees to remaining obligations, making it costlier for customers to abandon the contract. The protective strength may be greater in the later stages of the contract, which is often when memory cycles need protection most.

It is still not unconditional insurance. The level of protection from an LTA depends on three factors: where the spot price lands, how much procurement obligation the customer has left, and how much guarantee balance remains.

RPO declines over time, Guarantee/RPO ratio rises; if spot ASP falls too far below the contract floor, customers may still choose to default.

This is also the core of the bull-bear divide. Bulls see that memory companies have finally secured long-term commitments with real money from customers. Bears worry that the scale of these commitments is still insufficient to protect peak profits; if the downturn is deep enough, customers will still act based on cost.

Not All Memory Demand is Willing to Be Locked by LTAs

LTAs also have a practical limitation: not all customers are suitable for long-term agreements.

US cloud providers are the most ideal candidates. They have large demand, strong credit, high sensitivity to supply stability for AI infrastructure, and greater incentive to lock in supply through long-term agreements. Micron has largely completed negotiations with US CSPs and is continuing to work with Chinese CSPs, enterprises, and certain other customers.

The consumer business is different. SanDisk's CFO has stated that the consumer business is "more transactional" and that LTAs are "not applicable." Mobile phones, PCs, and consumer storage channels are more accustomed to purchasing based on price and inventory cycles. When prices fall, customers naturally want to maintain flexibility rather than being locked into multi-year floor prices.

Chinese customers may also not become stable buyers for LTAs. On one hand, Chinese cloud providers and end customers may prefer local suppliers. On the other hand, the expansion of domestic DRAM and NAND supply adds uncertainty to long-term procurement commitments.

Bernstein estimates that 30%-50% of the total DRAM and NAND end market may be difficult to cover with LTAs. Even if leading suppliers lock in major US customers, a significant portion of the market will continue to operate based on spot prices, short-term orders, and cyclical expectations.

A breakdown of the DRAM/NAND end market shows demand from Chinese CSPs, enterprise servers, consumer/PC, smartphones, etc., in addition to US CSPs. Approximately 30%-50% of the market may be difficult to cover with LTAs.

As long as a sufficiently large proportion of demand remains in the spot or short-term contract system, price signals will not disappear. As long as price signals exist, supplier expansion, customer inventory reduction, and channel order cuts will continue to amplify cyclical fluctuations.

AI Demand Supports Valuations, But Peak Profits Cannot Be Directly Extrapolated

One reason the market is willing to assign higher valuations to memory companies is that AI demand has changed the bottom shape of this cycle.

On the DRAM side, HBM demand remains strong. Bernstein's Asia team predicts that HBM prices could rise 2-2.5 times in 2027 compared to 2026. While regular DRAM commercial prices have already risen significantly, they may remain high for the next 12 months. Although HBM is more stable than ordinary memory, it shares some production capacity with regular DRAM, and capacity allocation can impact other product lines.

On the NAND side, AI inference and longer context windows also bring new demand imagination. Early AI training primarily consumed HBM and DRAM, but with the increase in inference, Agentic AI, and long-context applications, storage demand is likely to continue rising. Note that statements regarding Vera Rubin's related capacity should not simply be written as "GPU NAND capacity;" the official NVIDIA page discloses 20.7TB of HBM4 GPU memory.

In this environment, the value of LTAs is more about locking in a portion of high-cycle revenue. If AI demand remains strong, suppliers can use long-term agreements to secure some large customer procurement. If prices fall, the guarantees and floor prices can help delay profit declines.

SanDisk's stress test points to a similar conclusion. Bernstein's model shows that under stringent assumptions, LTAs can still make FY29-FY30 EPS higher in most penetration scenarios compared to without LTAs, with particularly stronger protection in later periods. However, the same stress tests also indicate that peak profits cannot be simply extrapolated. Under lower operating margin scenarios, EPS could be significantly below current running levels.

SanDisk FY29-FY30 EPS sensitivity table shows a wide range of EPS under different ASP and LTA penetration scenarios. LTAs improve the downside scenario but cannot lock in peak profits.

The most worthwhile takeaway from this report is not that "the memory cycle is over," but that "the cyclical downturn may be softened."

The fact that Micron and SanDisk have secured long-term agreements and financial guarantees indicates that major customers are willing to pay for supply certainty in the AI era. For memory companies, this enhances revenue visibility for the coming years and makes it easier for the capital market to believe that the profit floor is higher than in the past.

The limitations are equally clear. The $33 billion in guarantees only provides a partial buffer. Consumer, Chinese customers, and some transactional demand will not fully enter long-term agreements. Bernstein also estimates that China's DRAM share could rise from about 8% to 16% in the coming years, and NAND may also face stronger supply pressure after 2028.

What LTAs truly need to prove is not whether they can be signed during an upturn, but whether customers will fulfill them during the next downturn, whether the guarantees will be painful enough, and whether suppliers will maintain capacity discipline. Until these questions are answered, they represent a new cushion for the memory industry, not a button to end the cycle.