Q2 FY2026 Earnings Recap

D-Wave Quantum Inc. (QBTS)

Reported Aug 6th 2026

News Summary

  • Enterprise adoption of D-Wave's annealing QCaaS is inflecting: Optum went straight to production (30,000 jobs by mid-June after a May launch), AT&T's expanded agreement with agentic AI integration cut a network optimization task from ~1 hour to under 15 seconds, and NTT Docomo reduced paging signals 15-65% — with production applications now generating 37% of first-half QCaaS revenue versus 9.8% a year ago, and 25-30% of commercial pipeline discussions now involving line-of-business stakeholders rather than research teams only.
  • D-Wave published Nature-validated 99.9% two-qubit gate fidelity at 500ns gate times on an 8-qubit dual-rail processor, claiming the highest fidelity on any superconducting system and a Lambda-10 error correction efficiency that may require only 100-200 physical qubits per logical qubit; hardware roadmap targets a 17-qubit system in 2026, 49-qubit in 2027, 181-qubit in 2028, 10 logical qubits in 2030, and 100 logical qubits with 1M reliable operations by 2032, when meaningful gate-model QCaaS revenue is expected.
  • Bookings surged 59% YoY to $2.1M in Q2 with average booking size up 87%, first-half bookings totaled $35.5M versus $2.9M a year earlier, and backlog grew 668% to $40.7M with 57% expected to convert within 12 months; management guided for modest Q3 revenue growth and a significantly stronger Q4 driven by two planned annealing system shipments, with Q4 expected to represent the majority of full-year 2026 revenue.
  • Q2 revenue was $3.08M, missing consensus by $0.95M and flat YoY; QCaaS subscription revenue rose 50% to $1.9M but was offset by minimal systems revenue; GAAP gross margin compressed to 55.4% from 63.8%; adjusted EBITDA loss widened 85% YoY to $37.1M on 93% higher opex as D-Wave accelerated hiring and go-to-market spend post-Quantum Circuits acquisition; cash stood at $546M after ~$250M paid for that deal.
  • QBTS fell roughly 12% in premarket trading after the print on the revenue miss; the stock is down ~18% YTD versus the S&P 500 up ~13%; Zacks maintained a Buy (Rank 2) rating pre-revision, framing the miss as a timing/recognition issue rather than a demand problem, while headline coverage universally characterized the quarter as a miss on both lines despite the bookings surge narrative management pushed.

Financial Highlights

MetricQ3 '24Q4 '24Q1 '25Q2 '25Q3 '25Q4 '25Q1 '26Q2 '26
Revenue$0.0B$0.0B$0.0B$0.0B$0.0B$0.0B$0.0B$0.0B
Rev Growth (YoY)-27.0%-20.5%508.6%41.8%99.9%19.2%-80.9%▲ -0.6%
Gross Margin55.8%63.8%92.5%63.8%71.4%64.8%63.6%▼ 55.4%
Operating Margin-1103.5%-876.2%-75.3%-856.3%-741.8%-1266.0%-1914.9%▲ -1732.1%
EV/Sales119.5x787.2x127.4x1140.8x2043.4x3138.6x1753.4x2811.4x

Earnings Call Highlights

D-Wave's Q2 2026 call was dominated by two parallel narratives: accelerating commercial traction on annealing systems and a technically ambitious gate-model roadmap anchored by a Nature-published validation of their dual-rail architecture. Management struck a confident, differentiated posture, positioning D-Wave as the only quantum company with production-scale commercial deployments while simultaneously claiming a credible path to fault-tolerant gate-model systems via superior error correction efficiency. Analysts probed both the near-term revenue trajectory of QCaaS and the longer-term commercialization timeline for gate-model, with management being candid that meaningful gate-model revenue is unlikely before 2032. The tone was bullish but grounded, with CEO Baratz repeatedly challenging investors to apply rigorous technical criteria rather than accepting competitor roadmap rhetoric. The dominant theme was execution credibility—D-Wave wants to be judged on what it has already shipped and proven, not on promises.

  • D-Wave's Nature paper validated 99.9% two-qubit gate fidelity at 500 nanosecond gate times on their 8-qubit dual-rail processor, which Baratz claims is the highest fidelity demonstrated on any superconducting system—matching trapped-ion performance while retaining superconducting speed—and underpins a Lambda-10 error correction efficiency target that could require only 100-200 physical qubits per logical qubit versus thousands for competing superconducting approaches.
  • The AT&T expanded agreement integrates D-Wave's annealing quantum computing with AT&T's existing agentic AI tools for network optimization, with one early application reducing processing time from roughly one hour to under 15 seconds—a concrete example of quantum-AI hybrid deployment at a major enterprise that is directly relevant to agentic infrastructure trends.
  • Optum (UnitedHealth Group subsidiary) skipped the proof-of-concept stage entirely and moved directly to a production application, running approximately 30,000 jobs by mid-June after a May launch; over 37% of first-half QCaaS revenue now derives from production applications versus just 9.8% in the first half of 2025, signaling a meaningful inflection in enterprise adoption depth.
  • Baratz disclosed that 25-30% of commercial QCaaS discussions now originate with or quickly involve line-of-business stakeholders rather than research or innovation teams exclusively—a structural shift from a year ago when all discussions were with research teams, indicating quantum computing is beginning to penetrate operational decision-making at large enterprises.
  • Gate-model revenue is expected to remain limited to government contracts and potential system sales to research institutions through the late 2020s, with significant QCaaS revenue on gate-model systems not anticipated until the 100 logical qubit / 1 million reliable operations milestone targeted for 2032; Baratz confirmed existing interest from more than one company in purchasing a dual-rail system, suggesting early hardware sales could precede cloud revenue.