IonQ Reports Quarterly Revenue Growth as Rigetti and D-Wave Update Guidance
Public quantum computing vendors release quarterly figures and outlooks as enterprise pilots expand. IonQ, Rigetti, and D-Wave detail revenue, bookings, and cash positions, while Accenture’s latest earnings call highlights rising demand for quantum-related services.
David focuses on AI, quantum computing, automation, robotics, and AI applications in media. Expert in next-generation computing technologies.
- IonQ reports higher quarterly revenue and reaffirms full-year guidance, citing strong bookings momentum and enterprise demand for quantum AI workloads (IonQ investor relations).
- Rigetti Computing posts mixed top-line results and updates its cash runway and commercialization milestones, emphasizing hybrid quantum machine learning use cases (Rigetti IR).
- D-Wave Quantum details quarterly revenue and pipeline growth from annealing-based solutions adopted in optimization and AI inference workflows (D-Wave IR press releases).
- Accenture Q1 FY26 earnings highlight expanding client engagements in AI and quantum services, with total quarterly revenue above $16 billion (Accenture newsroom).
- Analysts describe a bifurcated landscape: modest revenue today but rising bookings and multi-year contracts, reflected across recent investor updates and filings (Gartner research).
| Company | Quarter Reported | Revenue Range | Source |
|---|---|---|---|
| IonQ | Recent quarter (late 2025) | $5–10 million | IonQ quarterly results |
| Rigetti | Recent quarter (late 2025) | $2–5 million | Rigetti investor updates |
| D-Wave | Recent quarter (late 2025) | $1–3 million | D-Wave press releases |
| Accenture (context) | Q1 FY26 (Dec 2025) | $16–17 billion total | Accenture earnings |
- IonQ Quarterly Results - IonQ Investor Relations, Late 2025
- Rigetti Investor Updates - Rigetti Computing, Late 2025
- D-Wave Press Releases - D-Wave Quantum, Late 2025
- Accenture Q1 FY26 Earnings Release - Accenture, December 19, 2025
- HPE Q4 FY25 Earnings Press Releases - Hewlett Packard Enterprise, November 26, 2025
- AWS Quantum Computing Blog - Amazon Web Services, December 2025
- SEC EDGAR Filings - U.S. SEC, November–December 2025
- Gartner Quantum and Advanced Computing Research - Gartner, December 2025
- Technology Coverage - Bloomberg, December 2025
- IonQ Newsroom - IonQ, December 2025
About the Author
David Kim
AI & Quantum Computing Editor
David focuses on AI, quantum computing, automation, robotics, and AI applications in media. Expert in next-generation computing technologies.
Frequently Asked Questions
Which quantum computing companies reported quarterly revenue in the latest period?
Recent updates from IonQ, Rigetti Computing, and D-Wave Quantum outlined quarterly revenue ranges that remain in the low single-digit to low double-digit millions, reflecting early-stage commercialization dynamics. IonQ cited increased bookings and enterprise pilots, while Rigetti discussed hybrid quantum machine learning workloads and D-Wave highlighted annealing-based optimization use cases. Each company provided guidance and cash runway commentary via investor materials and filings, indicating a focus on disciplined scaling and multi-year contracts to support future revenue conversion.
How do enterprise services firms factor into Quantum AI earnings?
Accenture’s Q1 FY26 earnings call, with total quarterly revenue above $16 billion, underscored growing client interest in AI and quantum-related services, even though quantum is a small portion of the total. The firm points to feasibility studies and pilot programs in regulated industries and advanced manufacturing. Such engagements often feed demand for pure-play vendors and cloud platforms, creating adjacent revenue streams and longer-term pipelines that can influence bookings and backlog metrics for quantum computing companies.
What financial indicators matter most for Quantum AI vendors right now?
Bookings, backlog, and multi-year contract commitments are critical leading indicators given modest near-term revenue. Investors also track cash runway, operating expenses, and gross margin trajectories to assess sustainability. Technical milestones—error rates, qubit fidelity, algorithmic qubits—and integration with ML frameworks are essential for converting pilots into production revenue. These data points, frequently disclosed in quarterly updates and SEC filings, inform the pace at which quantum workloads can augment AI pipelines in real enterprise settings.
Are hybrid quantum-classical AI workflows impacting revenue today?
Hybrid workflows combining QPUs with classical ML are emerging in optimization, sampling, and feature selection, with some customers signing multi-year agreements. While revenue remains modest, companies like Rigetti and D-Wave report pipeline growth linked to hybrid solvers and cloud integrations, which can shorten experimentation cycles. IonQ’s focus on algorithmic qubits similarly aims at practical performance gains. The near-term impact is most visible in bookings and subscription access rather than large production deployments.
What is the outlook for Quantum AI earnings in 2026?
Analysts expect gradual revenue growth as technical performance improves and developer tooling matures, enabling more production-grade use cases in optimization and AI model workflows. Enterprise integrators and managed cloud services are likely to accelerate pilot conversions, with guidance updates monitored closely each quarter. While timelines vary, the consensus points to scaling through 2026–2027, contingent on error mitigation, algorithmic advances, and cost-effective access models. Bookings and backlog will continue to be tracked as predictors of revenue conversion.