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QBTS: Revenue grew 21% as bookings surged and commercial quantum deployments broadened

D-Wave Quantum reported third-quarter revenue of $4.5 million, up 21% year over year. Bookings for the first nine months reached $38.3 million, and remaining performance obligations, or contracted work not yet recognized as revenue, were $37.4 million. Commercial deployments expanded, alongside a milestone-based $100 million CHIPS funding agreement.

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Updated:

What happened

D-Wave Quantum reported third-quarter revenue of $4.5 million, up 21% year over year. Bookings for the first nine months reached $38.3 million, and remaining performance obligations, or contracted work not yet recognized as revenue, were $37.4 million. Commercial deployments expanded, alongside a milestone-based $100 million CHIPS funding agreement.

Confirmed

Global impact / market context

Revenue growth and larger bookings suggest more customer activity, while remaining performance obligations indicate contracted work that may convert into future revenue. The $100 million agreement could support development or deployment as milestones are met, but its timing and conditions limit certainty about cash available.

Analyst inference

The update combines commercial expansion with progress on annealing and gate-model roadmaps, two approaches to quantum computing. For investors, the key link is whether deployments and funded milestones produce repeat customer revenue without costs rising faster than sales; the supplied figures do not establish profitability.

Analyst inference

What to watch

  1. Watch whether later reports show bookings turning into recognized revenue and whether remaining performance obligations grow, shrink, or are delayed as customer projects progress. Analyst inference
  2. Track whether the $100 million CHIPS agreement’s milestones are completed and funding is received; the article does not specify timing or milestone conditions. Confirmed
  3. Look for further commercial deployments and roadmap progress in annealing and gate-model systems, while checking whether these developments lead to broader paid customer use. Analyst inference

Evidence

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