Once a $35 computer, the 2 GB Raspberry Pi 4 now costs $67.50

Raspberry Pi raised prices for its 2GB Pi 4 and Pi 5 by $12.50 to $67.50 and $77.50, respectively, citing rapidly rising memory costs. The company’s first-half revenue rose 90% to $256.9 million and gross profit increased 79% to $59.4 million, aided by prior price increases and lower-cost memory inventory that is now largely depleted. Further RAM-cost pressure appears likely, with Micron warning shortages could persist into 2028 or beyond, although Raspberry Pi says it intends to reverse increases when memory pricing subsides.

Analysis

This is immaterial to MU’s revenue base but directionally corroborates that spot-memory tightness is reaching low-ticket embedded products, where buyers have historically been highly price elastic. The more important read-through is that Raspberry Pi’s prior margin support from lower-cost inventory is ending: further cost inflation must be passed through nearly dollar-for-dollar or gross profit per unit will roll over. The unchanged low-memory and compute-module SKUs create a deliberate migration path, but also raise the risk of unfavorable mix as hobbyist and education customers trade down rather than absorb higher ASPs.

For RPI, the near-term accounting outcome may look better than end-demand: price realization can preserve reported gross margin for one or two reporting periods even if unit shipments weaken. The 1-3 month catalyst is distributor reorder behavior; rising channel inventory or declining accessories/peripheral attach rates would signal that price increases are suppressing ecosystem activity rather than merely reallocating demand across memory tiers. Over 6-18 months, sustained RAM scarcity widens the addressable market for lower-spec boards and refurbished legacy devices, while making low-cost Chinese single-board-computer alternatives more competitive despite weaker software support.

Consensus may overstate the benefit to memory producers from this datapoint. The relevant volume is negligible for MU; the actionable implication is confirmation of pricing power, not an incremental earnings revision. Conversely, the market may underappreciate RPI’s operating leverage: a modest unit decline can outweigh higher ASPs once the low-cost inventory buffer is gone, because engineering, software, and channel-support costs are relatively fixed.

A reversal would require a visible easing in DRAM contract pricing, not simply a decline in spot prices. For RPI, thesis falsification is stable or rising unit volumes and accessory attach despite higher board ASPs, or management demonstrating that industrial/compute-module demand offsets consumer trade-down. For MU, a weaker-than-expected contract-price outlook or inventory build at PC/server OEMs would matter far more than embedded-board pricing.

Key Decisions for Investors

• Maintain MU as a core long only if DRAM contract-price revisions and FY earnings estimates continue moving higher; this is a confirming micro-data point, not a standalone entry catalyst. Reassess on evidence of OEM inventory accumulation or a sequential decline in contract pricing.
• Avoid adding to RPI into the next results solely on apparent pricing power. Use distributor sell-through, unit-volume disclosure, and gross-profit-per-board after legacy inventory normalization as required confirmation; a 5-10% volume shortfall would likely outweigh the benefit of the latest ASP increase.
• Consider a 3-6 month relative-value watch trade: long MU / short RPI only if RPI guidance implies stable revenue despite worsening unit sell-through. The payoff is asymmetric if memory inflation persists and RPI cannot fully pass through costs; cover the short if RPI demonstrates resilient volumes and sustained gross-margin expansion after inventory repricing.
• Monitor RPI accessory and Compute Module demand as the key second-order indicator. Stable industrial-module demand would reduce downside, while falling accessory attach or distributor promotions would signal price-elastic consumer demand and justify a more negative RPI view.