This Little-Known AI Storage Stock Will Join the S&P 500 (Not Micron or Sandisk). History Says This Will Happen Next.

Everpure will join the S&P 500 before the Sept. 21 open, an event historically associated with an average 16% stock return over the following year as index funds buy shares. The company delivered Q2 revenue growth of 38% to $1.2 billion and 63% growth in non-GAAP EPS to $0.70, while adding a second top-five hyperscaler customer alongside Meta. Wall Street projects 28% annual adjusted-EPS growth through fiscal 2028 and sees a median $133 target price, implying 31% upside from $101.

Analysis

The near-term setup is flow-driven rather than fundamentally de-risked: benchmark demand is likely concentrated into the closing auction immediately before the effective date, while discretionary investors have had time to front-run the event. That creates a favorable 5-10 trading-day momentum window but a meaningful post-rebalance fade risk once forced buying ends. The cited historical inclusion return is not a usable standalone forecast; the relevant question is whether incremental institutional ownership improves liquidity enough to support a durable valuation premium.

The more important fundamental optionality is hyperscaler validation, but the unnamed customer should not be capitalized until disclosed through backlog, revenue concentration, or forward guidance. A hyperscaler win can compress sales cycles with enterprise customers and support a higher recurring-revenue mix, yet it also raises pricing-concentration risk and may require lower-margin custom deployments. P's systems-level architecture is competitively disruptive to SSD-based arrays from NetApp (NTAP) and Dell (DELL), particularly where power availability—not rack space—is the binding constraint; this is a better mechanism for share gains than generic AI-storage demand.

For MU and SNDK, P's growth is directionally supportive but not a clean read-through. Higher enterprise flash-array deployment raises NAND demand, while improved utilization per raw NAND module can reduce bits consumed per unit of customer workload. The larger second-order beneficiary is ORCL if it is confirmed as the new customer: it would strengthen the case that Oracle Cloud is building differentiated AI infrastructure rather than merely leasing scarce GPU capacity. Thesis falsification: no identifiable hyperscaler revenue contribution by the next two earnings reports, material gross-margin erosion from custom contracts, or annual recurring revenue/bookings growth decelerating below management's AI-storage narrative.

Key Decisions for Investors

• Tactically long P through the index-rebalance window, with entry on weakness rather than chasing a sharp pre-event gap. Target a 5-8% flow-related move into the effective-date close; reduce or exit within 1-3 sessions afterward unless volume and institutional ownership remain elevated. Risk: a 5% stop below entry, as a failed inclusion trade can unwind quickly once passive demand is completed.
• Establish a 3-month pair: long P / short NTAP, sized beta-neutral. The trade isolates the potential value of power-efficient, modular flash architecture against a more conventional enterprise-storage incumbent; target 10-15% relative outperformance. Exit if P's next earnings report shows gross-margin compression or if NTAP demonstrates equivalent power-density economics in new product releases.
• Maintain an ORCL catalyst watch rather than initiate solely on the customer speculation. Upgrade to a tactical long only if Oracle confirms P as a supplier and pairs that disclosure with OCI capacity, backlog, or capex acceleration; confirmation would make the storage relationship evidence of durable cloud build-out rather than a one-off procurement.
• Do not use MU or SNDK as direct sympathy longs on this signal alone. Reassess after P reports flash-content growth and supplier mix; a stronger read-through requires evidence that array shipment growth is increasing total NAND bit demand rather than simply improving storage efficiency.