Valuation Basis

A comps-anchored read, not a narrative multiple.

The policy and technology tailwinds behind QPUWafers.com are real. The transactable buyer pool for a quantum-specific domain today is narrower than for the established AI/GPU wafer category — this dossier prices to that distinction rather than inflating off the narrative.

Portfolio Comps

Where QPUWafers.com sits inside the WAFERS naming family.

QPUWafers.com is positioned within an established portfolio of *Wafers domains. Prior entries in the family are anchored to compute categories with years of realized commercial revenue; QPU is the first entry anchored to a pre-revenue, policy-accelerated category.

DomainCategoryIndicative RangeCommercial Maturity
AIWafers.comAI compute, general$3M–$5M+Mature — multi-year realized AI infrastructure spend
InferenceWafers.comAI inference infrastructure$2M–$3.5M+Mature — active commercial category
CPUWafers.comClassical compute$750K–$1.2M+Mature — decades of realized revenue
GPUWafers.comGPU / AI acceleration$500K–$900KMature — active commercial category
LLMChips.comLLM-specific silicon$500K–$1MEmerging — early commercial revenue
QPUWafers.comQuantum processing unitsSee belowPre-revenue at scale — policy-accelerated, hardware-race stage

Honest Framing

Why QPU prices differently than GPU or CPU did.

The category is real, the revenue isn't yet

Industry tracking puts 2026 global quantum computing investment at roughly $17.3 billion against well under $1 billion in realized industry revenue. That gap is the entire investment thesis — and also the reason the current buyer pool (a handful of hardware labs, national labs, and a small set of specialist investors) is smaller than the buyer pool for an established AI-compute domain today.

Policy accelerates the timeline, not the buyer count

The June 2026 executive orders and the PQC 2030/2031 deadlines are genuine, near-term catalysts that pull forward institutional attention. They do not, on their own, create the dozens of well-capitalized commercial buyers that exist today for GPU- or AI-branded infrastructure names.

Acronym-stage risk

"QPU" is at the stage "GPU" was in roughly 2015 — correct, increasingly standard, but not yet universally load-bearing outside specialist and policy circles. That stage carries real optionality and real uncertainty in both directions.

What is not in question

The domain is clean (no hyphens, no numerals, a real English-legible compound), extends a coherent naming family with an established buyer conversation, and sits at the exact intersection — quantum fabrication, wafer-scale AI infrastructure, neocloud delivery — that this dossier documents.


Scenario Bands

Three honest scenarios, not one narrative number.

Conservative $60K–$120K

Priced as a well-formed, policy-adjacent tech domain with limited current buyer depth — comparable to early-stage emerging-acronym names before their category matured commercially.

Base Case $150K–$300K

Reflects active interest from quantum hardware labs, national-lab-adjacent programs, or a neocloud operator building a quantum-access product line — the most likely near-term buyer profile.

Catalyst-Driven Upside $400K+

Requires a visible commercial trigger — a hyperscaler or major quantum lab publicly adopting "QPU" as consumer-facing branding, or a landmark PQC/QC-ADDS procurement announcement naming a private-sector partner.

These bands reflect a comps-anchored, deliberately non-inflated read. They are a starting point for negotiation, not an appraisal or a guarantee of transactable value.