
D-Wave (QBTS) reported a strong quarter with Q3 revenue of $3.7M (double YoY), Q3 GAAP gross margin of 71.4% (non-GAAP 77.7%), YTD GAAP gross margin of 84.8% (vs 62.7% prior year) and cash of $836.2M (up from $29.3M), driving significant near-term commercial momentum and liquidity. Rigetti (RGTI) unveiled a 36‑qubit Cepheus-1-36Q chiplet system with ~99.5% median two-qubit gate fidelity and a target of 100+ qubits by end-2025, but reported weaker near-term results (revenues ~$1.9M vs $2.4M prior year, operating expenses ~ $21M) and relies on contracts (e.g., ~$5.8M Air Force Research Laboratory work) and a multi-year cash runway. Zacks estimates show RGTI 2025 sales down ~23.8% with a projected loss per share of $0.68, while QBTS 2025 sales are forecast to grow ~188.6% with a projected loss per share of $0.23, leaving the trade-off as near-term deployability and liquidity (QBTS) versus longer-term gate‑based scalability (RGTI).
Market structure: QBTS is the near-term winner — enterprises with combinatorial/optimization needs and system integrators gain a deployable product and pricing power to sell hybrid-solver subscriptions; RGTI benefits longer-term if gate fidelity and 100+ qubits arrive by end‑2025 but today has weaker commercial pricing power because revenue is grant/contract‑driven. Supply remains constrained (few vendors, specialized cryo/QC supply chain) so early commercial wins can command premium prices and high gross margins, supporting QBTS margins (71–78% reported) while keeping small‑cap volatility high and implied vols elevated. Risk assessment: Tail risks include a failed RGTI 100+ qubit milestone (binary negative for sentiment), major client churn or contract non‑renewal for either firm, dilution from equity raises (RGTI) or warrant overhang (QBTS). Immediate (days) sensitivity is earnings/press releases; short term (3–6 months) depends on bookings and cash burn; long term (12–36 months) hinges on demonstrating repeatable, enterprise‑grade ROI or scaling error‑correction. Hidden dependencies: hyperscaler partnerships, access to specialized fabs/cryogenics, and government funding cadence. Trade implications: Tactical: establish a 2–3% long position in QBTS (common stock) sized to target 25–60% upside over 3–9 months, stop‑loss 25% below entry; finance via selling near‑term 30% OTM calls to collect premium. Speculative: buy a small (0.5–1% notional) Jan‑2026 RGTI call spread to capture upside if a 100+ qubit milestone is met by Dec‑31‑2025. Pair: dollar‑neutral 1:1 long QBTS / short RGTI (small size) to express preference for commercial traction over roadmap risk. Contrarian angles: Consensus overlooks that QBTS’s $836m cash gives optionality for M&A or aggressive go‑to‑market — upside underappreciated if they buy a software integrator. Conversely, market may underprice RGTI’s fidelity improvement (99.5% two‑qubit) which could materially shorten scaling timelines; if RGTI misses qubit milestones the rally is overdone. Unintended consequence: hyperscalers standardizing on gate models would compress annealing TAM; monitor hyperscaler pilot announcements as a binary inflection.
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mildly positive
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0.28
Ticker Sentiment