Bernstein Analysis: Can $142 Billion in Long-term Orders Bolster the Memory Cycle?

TL;DR

• Bernstein focuses on Micron and SanDisk's new LTAs, believing long-term purchase agreements are improving revenue visibility for the memory industry.
• The two companies disclosed a combined RPO of approximately $142 billion and financial guarantees of around $33 billion, but this is far below the model's protected exposure.
• LTAs can increase the cost for large customers to walk away, but consumer, Chinese client, and spot market demand will still retain cyclical volatility.

In its latest report, Bernstein has put the spotlight back on long-term purchase agreements in the memory industry: Micron and SanDisk have signed a new batch of LTAs featuring purchase commitments, minimum prices, and financial guarantees, aiming to provide a floor for profitability over the next few years.

That 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 revenue of approximately $100 billion calculated at minimum contract prices, with related cash deposits and financial commitments of about $22 billion. SanDisk's three current-quarter contracts correspond to roughly $42 billion in minimum contract revenue, with total financial guarantees across five agreements exceeding $11 billion.

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

This is the key divergence the report aims to highlight: LTAs are changing the negotiating position between memory companies and their large customers, but they function more like a cushion for the downside cycle rather than transforming DRAM and NAND into utilities.

Large Customers Locked into Long-Term Agreements, Guarantees Becoming Real Money

The LTA concept is not complex. Customers commit to purchase volumes for several years in advance, while suppliers guarantee supply and provide pricing mechanisms. If customers fail to purchase, they may lose prepaid guarantees or incur other economic costs.

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

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

SanDisk disclosed an RPO of $41.6 billion as of April 3, 2026. The company also mentioned on its conference call that three current-quarter contracts provide approximately $42 billion in minimum contract revenue, with total financial guarantees across five agreements exceeding $11 billion, covering over one-third of its bit supply for FY27.

The mechanisms differ between the two companies. Micron's guarantees are more back-end weighted. As contracts progress and customers' remaining purchase obligations decrease, the ratio of guarantees to RPO increases, making default later in the contract term more costly. SanDisk's approach is closer to fixed-amount guarantees, with the guarantee amount 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 the point most valued by the bulls. The biggest problem for the memory industry in the past was the rapid collapse of profitability when prices fell. If large customers are willing to pay for guarantees for long-term supply, suppliers can at least gain clearer revenue baselines, and capital expenditure and capacity planning don't have to be entirely dictated by spot prices.

$33 Billion in Guarantees Isn't Thin, but It Won't Cover a Deep Downturn

The scale of the guarantees and the revenue they are meant to protect are not on the same order of magnitude.

Bernstein's model estimates that if LTAs were to cover potential revenue over the next 3-5 years, the corresponding protected scale would be about $5.2 trillion. This figure is based on the report's model assumptions; the companies' public filings do not directly disclose such industry-wide revenue metrics, and it's necessary to distinguish between memory, total semiconductor revenue, and sample supplier revenue.

Even so, the 0.6% guarantee ratio illustrates one thing: LTAs cannot protect profitability in all price scenarios.

If spot prices only decline moderately, it's not economical for customers to default. The costs—losing the guarantee, damaging the supply relationship, and potentially missing out on scarce capacity in the future—are sufficient to make customers continue fulfilling the contract. The demand for stable supply from AI server, cloud, and data center customers is also stronger than that of typical consumer electronics clients.

But if prices fall deeply enough, customers will still do the math. As long as the remaining purchase volume is large and the spot price is sufficiently low relative to the contract floor price, customers may find it cheaper to buy from the market even if they forfeit the guarantee.

The back-end weighted mechanism can mitigate this issue. Later in the contract, as the remaining RPO decreases, the ratio of guarantees to remaining obligations increases, making it more costly for customers to walk away. The protective effect may be stronger later in the contract term, which is often when memory cycles need it most.

It is still not unconditional insurance. The protective power of an LTA depends on three numbers: where the spot price lands, how much purchase obligation the customer has left, and how much of the guarantee remains.

RPO declines over time, guarantee/RPO ratio increases; if spot ASP falls too deep below the contract floor price, customers may still choose to default.

This is also the core of the bull-bear divergence. 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 earnings, and if the downturn is deep enough, customers will act based on cost.

Not All Memory Demand Is Willing to Be Locked in 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 massive demand, strong credit, are sensitive to stable AI infrastructure supply, and have greater incentive to lock in supply through long-term agreements. Micron has largely completed negotiations with US CSPs and is still progressing with Chinese CSPs, enterprises, and some other customers.

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

Chinese customers may not necessarily become stable buyers under LTAs either. 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 will add uncertainty to long-term purchase commitments.

Bernstein estimates that 30%-50% of the total DRAM and NAND end market may be difficult to cover with LTAs. Even if top-tier suppliers lock in US hyperscalers, 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., besides US CSPs. An estimated 30%-50% of the market may be difficult to cover with LTAs.

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

AI Demand Supports Valuations, But Peak Earnings 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 Asian team predicts that HBM prices in 2027 could rise 2-2.5 times compared to 2026. While commercial DRAM prices have already risen significantly, they may remain elevated over the next 12 months. Although HBM is more stable than general-purpose memory, it shares some production capacity with conventional DRAM, and capacity allocation will 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 as inference, Agentic AI, and long-context applications increase, storage demand may continue to rise. It's important to note that statements regarding Vera Rubin's related capacity should not be simply phrased as "GPU NAND capacity"; NVIDIA's official page discloses 20.7TB of HBM4 GPU memory.

In this environment, the value of LTAs lies more in fixing a portion of high-revenue景气 income. If AI demand remains strong, suppliers can lock in some large customer purchases through long-term agreements. If prices fall, the guarantees and floor prices can slow the decline in profitability.

SanDisk's stress testing also points to a similar conclusion. Bernstein's model shows that under severe assumptions, LTAs can still result in FY29-FY30 EPS being higher than in scenarios without LTAs in most penetration rate scenarios, with particularly stronger protection in later periods. However, this same set of stress tests also indicates that peak earnings cannot be simply extrapolated. Under scenarios with lower operating margins, 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 rates. LTAs improve the downside scenario but cannot lock in peak earnings.

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

Micron and SanDisk securing long-term agreements and financial guarantees indicates that large customers are willing to pay for supply certainty in the AI era. For memory companies, this will improve revenue visibility over the next few years and make it easier for capital markets to believe the earnings floor is higher than in the past.

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

What LTAs truly need to prove is not whether they can be signed during a market upswing, 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 are a new buffer for the memory industry, not the button to end the cycle.