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D-Wave has moved beyond cloud access and consulting: it has disclosed installed-system deployments, a €10 million capacity agreement in Italy, a $20 million Advantage2 purchase agreement with Florida Atlantic University, and a separate $10 million enterprise cloud-computing contract. That makes it one of a small number of quantum-computing companies publicly associated with complete-system sales. But these deals do not mean quantum computers are selling at mass-market scale: bookings are not the same as recognized revenue, and D-Wave’s current commercial systems specialize in optimization rather than general-purpose quantum computing.
What “ramping sales” means in D-Wave’s case
The phrase describes early commercial scaling: larger contracts, more deployments and capacity commitments, and continued cloud and services activity. It does not mean high-volume hardware sales, profitability, or proof that quantum machines broadly outperform classical computers.
In November 2025, EE Times characterized D-Wave and IBM as among the only quantum companies then ramping sales of complete systems. That is useful industry context, not a definitive market census for 2026. Companies also sell different things under the broad label of quantum computing: cloud access, consulting, dedicated capacity, or installed machines.
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D-Wave reported $24.6 million in fiscal-year 2025 revenue, compared with $8.8 million in fiscal 2024, a 179% increase. Its bookings, however, fell to $18.7 million in 2025 from $23.9 million in 2024; the earlier total included a major first system sale. In the fourth quarter of 2025, bookings were $13.4 million, up from $2.4 million in the third quarter. The figures are company-reported and should be read separately: D-Wave’s quarterly results distinguish reported revenue from bookings.
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| Announcement or measure | What it represents | Important qualification |
|---|---|---|
| Fiscal 2025 revenue: $24.6 million | Revenue recognized during the year | Not the same measure as signed contract value or bookings. |
| Fiscal 2025 bookings: $18.7 million | Business booked during the year | Down from $23.9 million in 2024, a year that included a major system sale. |
| Q-Alliance, Italy: €10 million | Booking associated with 50% capacity of an Advantage2 system | Not a disclosed full-system sale; D-Wave expects recognition over five years after installation. |
| Florida Atlantic University: $20 million | Agreement to purchase and install an Advantage2 system | Deployment was expected by the end of 2026; the agreement’s value is not automatically immediate revenue. |
| Fortune 100 company: $10 million | Two-year quantum-computing-as-a-service agreement | Not a hardware purchase; expected to be recognized ratably over two years beginning in Q1 fiscal 2026. |
| More than $32.8 million in Q1 2026 bookings | Bookings reported as of February 25, 2026 | A post-year-end figure that includes different kinds of agreements, not $32.8 million in computer sales. |
The Italian, Florida Atlantic, and Fortune 100 contract details are set out in D-Wave’s Investor Day materials and Q1 2026 investor presentation. They show momentum, but not a mature, high-volume hardware market.
What D-Wave sells
D-Wave’s business combines three main offerings, which should not be conflated:
- Cloud access: Customers use D-Wave processors and hybrid solvers through the Leap platform rather than owning a machine.
- Professional services: D-Wave helps customers translate an operational problem into a model, test a proof of concept, and develop a pilot or production workflow.
- Systems and capacity: A customer may buy an installed system, commit to a specified share of a system’s compute capacity for a period, or enter a related long-term arrangement. Some systems may remain D-Wave-owned even when physically located at a customer site.
That last category is why “system sale” needs care. An on-premises installation is not necessarily a conventional transfer of hardware ownership. The contract may instead be for dedicated capacity and associated services. For a prospective buyer, D-Wave’s official site is the appropriate starting point for current cloud and enterprise inquiry routes; the public contract values cited here are examples, not a price list.
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Deployments: completed installations versus announced plans
D-Wave’s record includes an Advantage system sale to the Jülich Supercomputing Center, closed at the end of 2024 and deployed in 2025, as well as systems associated with Davidson Technologies in Huntsville, Alabama, and the University of Southern California’s Information Sciences Institute. These installations were reported by EE Times based on interviews with company executives.
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Other announcements are commitments or capacity arrangements at different stages. The Q-Alliance agreement in Italy is for half the capacity of an Advantage2 system. Florida Atlantic University agreed to purchase and install an Advantage2, with deployment expected by the end of 2026. Those are commercially significant, but an announcement, installation, operational acceptance, and revenue recognition are distinct milestones.
Why D-Wave could sell earlier than many quantum rivals
D-Wave’s current commercial advantage is tied to its architecture. Its Advantage systems use quantum annealing, a specialized approach aimed primarily at optimization and sampling. Many rival systems from companies such as IBM, Google, Quantinuum, IonQ, and Rigetti use or pursue gate-model architectures, which execute quantum circuits and seek to support a broader range of algorithms.
Gate-model systems are central to long-term goals such as quantum chemistry, materials simulation, and general quantum algorithms, but the most ambitious applications require major advances in error correction and fault tolerance. Annealing offers a narrower path: it can be used today in hybrid workflows for certain optimization problems without waiting for a universal, fault-tolerant machine. That does not establish that annealing wins on every problem—or that it beats the best classical software.
D-Wave announced general availability of Advantage2 in May 2025. The company describes it as its sixth-generation annealing system, with connectivity increased from 15-way to 20-way, greater coherence, and a higher energy scale. It is available through Leap, with on-premises installation options. D-Wave says hybrid applications can involve up to two million variables; that is a problem-formulation capacity claim, not evidence that the quantum processor alone solves a two-million-variable problem without classical processing.
Qubit totals are not a reliable cross-vendor league table. Annealing qubits and gate-model qubits have different roles, and raw counts omit factors such as connectivity, coherence, gate fidelity, error rates, and the overhead required to map a real problem to a machine. The buyer-relevant test is performance on a defined workload, not which vendor announces the largest number.
What D-Wave’s systems are—and are not—used for
Potentially suitable problem areas include workforce scheduling, logistics and routing, production planning, supply-chain decisions, portfolio allocation, and selected hybrid machine-learning workflows. These are optimization tasks: an organization defines constraints and an objective, such as reducing delivery time or assigning staff while meeting coverage requirements.
The practical question is whether a quantum or hybrid workflow improves a customer’s result enough to justify its cost and complexity. A sound evaluation compares it with a strong classical solver on the same data and constraints, and counts total wall-clock time, preprocessing and postprocessing, hardware or cloud costs, solution quality, and reproducibility. A result against a weak classical baseline is not evidence of commercial superiority.
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D-Wave has promoted a scientific result involving simulation of a magnetic material, comparing minutes on its system with a company-cited estimate of nearly one million years on the Frontier supercomputer for classical approaches. That is a specific, company-promoted benchmark—not proof that D-Wave systems are broadly faster than classical computers for business optimization. The workload and comparison matter.
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Customer counts need definitions
D-Wave’s materials report more than 135 total customers and more than 70 commercial customers for fiscal 2025. Its Q1 2026 presentation reports more than 100 customers, over half described as commercial enterprises. These figures cover different periods and may use different definitions. A customer count is not the same as a count of hardware buyers or production deployments.
EE Times reported more than 100 revenue-generating customers during 2025 and about 20 Forbes Global 2000 companies, naming Mastercard, Ford, and Volkswagen as Leap customers. Those relationships show cloud or other commercial activity; they do not imply that those companies bought on-premises machines. Research centers, universities, government-backed facilities, and enterprises also buy for different reasons, so one installation does not by itself demonstrate broad enterprise demand.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.The accounting trap: bookings are not revenue
Bookings generally capture business committed under contracts, while revenue is recognized as the company delivers the contracted goods or services under accounting rules. Neither measure should be substituted for the other; cash collection and billings are also distinct. A large contract can lift bookings before much revenue appears.
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A free scan shows the junk files, broken settings and background clutter dragging Windows down - then fixes them in one click.Free scan · Windows 10 & 11For a system, recognition can depend on completing multiple steps needed to make it fully operational. D-Wave says the Q-Alliance booking is expected to be recognized over five years after installation. A standard QCaaS contract is generally recognized over its term, and the $10 million Fortune 100 agreement is expected to be recognized ratably over two years. Therefore, reporting more than $32.8 million in post-year-end bookings is not the same as reporting $32.8 million in recognized sales, still less $32.8 million of hardware sold.
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What buyers should test before committing
An on-premises system is a specialized infrastructure project, not a plug-in appliance. Quantum computers can require cryogenic equipment, a controlled environment, installation and calibration, software integration, trained personnel, and ongoing support. A cloud trial or a professional-services pilot may be more appropriate before a capital-intensive commitment.
Before signing, a buyer should establish:
- Whether the proposal is Leap access, dedicated capacity, an on-premises installation, or a package combining them.
- Which portions of the price cover hardware, services, software, and recurring compute access—and when each service begins.
- Facility, commissioning, maintenance, uptime, support, and service-level requirements.
- The named classical baseline, identical constraints, total runtime, solution quality, costs, and a reproducibility plan.
- How customer data, workloads, and intellectual property are handled, and whether workflows can be ported elsewhere.
- What happens contractually if the target application does not reach production.
D-Wave may be worth evaluating when an organization has a measurable optimization problem, an operational data set, expertise or budget for hybrid development, and a reason to seek dedicated or controlled access. It is a poorer fit if the goal is broad gate-model circuit execution, an immediate classical-HPC replacement, or a near-term business case dependent on fault-tolerant quantum computing.
D-Wave’s gate-model ambitions are a separate story
D-Wave is also developing gate-model technology following its expansion into that area through Quantum Circuits. The company’s roadmap includes targets for a 17-physical-qubit dual-rail system in 2026, 49 qubits in 2027, 175 in 2028, and a 1,000-physical-qubit system with 10 logical qubits in 2030. These are management targets, not delivered products or independently verified forecasts. They do not change what underpins D-Wave’s current system-sales activity: annealing hardware and hybrid optimization services.
The distinction matters to customers and investors. The current business has disclosed contracts, cloud revenue, and installations; the gate-model effort is an option on a broader future market. Its technical and commercial outcomes remain uncertain.
How to read the sales momentum
The strongest evidence of progress is not a single contract headline but the combination of recognized revenue growth, repeat cloud and services activity, and announced deployments or capacity agreements. The cautions are equally important: fiscal 2025 bookings declined from the prior year, large agreements can make quarterly totals lumpy, and the system deals include public-sector, academic, or research infrastructure as well as enterprise activity.
D-Wave’s investor materials also estimate that four production annealing systems could support $100 million to $120 million in annual Leap capacity, based on an estimated $25 million to $30 million per system. That is company-estimated capacity at scale, not realized revenue or a forecast that customers will buy all available capacity. It should not be treated as evidence of current sales volume.
For investors, enterprise buyers, or technology leaders, the reasonable conclusion is specific: D-Wave has a credible early commercial position in quantum optimization and is securing unusually visible system and capacity agreements. Whether that becomes a durable business depends on repeatable demand, successful commissioning, recurring use, economics, and demonstrated value against strong classical alternatives—not bookings alone.
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