Earnings call transcript: D-Wave Quantum Q1 2026 sees EPS beat, stock falls

D-Wave Q1 2026 was mixed: EPS of -$0.05 beat the -$0.08 forecast by 37.5%, but revenue of $2.9 million missed consensus by 29.95% and fell 81% year over year. Bookings surged 1,994% to $33.4 million on a $20 million FAU system sale, while operating expenses jumped 125% to $56.5 million and the stock fell 10.78% pre-market to $21.44. Management remained bullish on dual-rail gate-model progress and expects two to three system deals in 2026, but profitability is still not expected this year.

Analysis

The tape is pricing this as a credibility event, not a numbers event. The issue is that bookings and backlog are finally scaling, but revenue still looks like a lumpy monetization story, which keeps the stock anchored to discount-rate and sentiment swings rather than a clean operating model. That creates a two-way setup: if the company converts backlog into recognized revenue over the next 2-3 quarters, the market can re-rate quickly; if not, the current enterprise value becomes harder to defend because opex is now running ahead of near-term monetization.

The bigger second-order effect is competitive positioning. The dual-platform narrative broadens the addressable market, but it also raises execution complexity just as customers are deciding whether to commit to on-prem or cloud access. If D-Wave can prove that the installed base and new gate-model roadmap are additive rather than distracting, it can pull forward system sales and lock in multi-year service streams; if not, the market will treat the acquisition as a costly science project and discount future claims more aggressively.

Consensus is likely underestimating how much of the near-term upside is tied to conversion velocity, not technology milestones. The stock’s volatility means the path of least resistance is still lower until management shows a second straight quarter of backlog-to-revenue conversion and better operating leverage. The contrarian bull case is that the selloff is overdone relative to the cash position and embedded optionality; the contrarian bear case is that the current backlog simply delays, rather than solves, the profitability problem.

Key Decisions for Investors

• Trade QBTS as a catalyst-driven volatility name: buy 1-2 month call spreads on further weakness, targeting a move back toward the prior trading range if management shows backlog conversion in the next print; define risk tightly because the stock can reprice 15-20% in either direction on sentiment alone.
• For directional exposure, prefer a pair trade: long QBTS / short unprofitable quantum peers or quantum-adjacent hype names over the next 3-6 months, betting that customers and capital will consolidate around the few players with real installed base and cash runway.
• Use NVDA as a relative hedge against the quantum narrative: if investors start treating D-Wave’s gate-model roadmap as more credible, NVDA’s role as the error-correction/compute enabler should benefit modestly; long NVDA vs short QBTS can isolate infrastructure winners from speculative duration risk.
• Do not chase the first bounce in QBTS common stock; wait for either a post-earnings stabilization above the gap-down day high or confirmation that revenue is inflecting faster than opex. Risk/reward improves materially only after the market sees evidence, not promises.