Here's How QBTS Exited Third Quarter With Key Growth Catalysts

D-Wave reported first-half bookings of $35.5 million, up 1,120% year over year, and secured access to up to $100 million in CHIPS Act funding; the funding is not described as already received. AT&T reduced a network optimization task from about one hour to under 15 seconds in early work using D-Wave technology. However, QBTS shares fell 55.3% over the past year, its forward 12-month P/S is 81.42x versus a 4.40x industry average, and its Zacks Rank is #4 (Sell); its 2026 loss-per-share estimate was unchanged over the past 30 days.

Analysis

The investable question is whether D-Wave can turn technical demonstrations and bookings into repeatable, paid production use—not whether quantum computing is strategically important. The AT&T result is commercially relevant only if it survives production constraints: integration costs, solution quality versus classical optimization, and recurring workload volume. Until those are disclosed, a dramatic runtime comparison is evidence of feasibility, not a revenue bridge.

The Commerce funding may lower the cost of developing domestic capability, but “up to” funding is neither equivalent to recurring customer demand nor necessarily available all at once. Rigetti’s parallel award also suggests government support is a sector-wide tailwind, not a durable D-Wave moat; it may intensify competition for talent, customers, and future awards. IonQ’s SkyWater ownership adds a different supply-chain strategy, while creating integration and execution risk. AT&T’s potential efficiency benefit could be meaningful operationally, but is unlikely to change its consolidated earnings absent broad deployment and measurable savings capture.

Near term, the key risk is a valuation-to-evidence mismatch: the cited sales multiple leaves little room for bookings that fail to convert, while unchanged loss estimates offer no estimate-revision catalyst. The 55% share decline may already have reset expectations, so a negative headline alone is not a compelling short; conversion data could produce sharp upside in a high-volatility name. Over 1–3 months, watch reported revenue against bookings, production-customer expansion, and cash use. Over 6–18 months, quantum error correction and scalable reliability matter only if they enable economically competitive workloads. Thesis weakens if management demonstrates sustained production deployments and material revenue conversion; it strengthens if bookings stall, deployments remain pilots, or cash consumption rises without corresponding commercial progress.

Key Decisions for Investors

• Do not chase the funding or AT&T headlines. Keep QBTS below benchmark / on a watchlist until reported results show bookings converting into revenue and production customers expanding; the next earnings disclosure is the key catalyst.
• Avoid a naked short solely on the stated valuation or past decline. If a mandate requires downside expression, consider a risk-defined QBTS put spread only after checking option liquidity and premium; cap loss at the debit and reassess if commercial conversion is demonstrated.
• Track grant disbursement and conditions, not just the headline ceiling, alongside cash burn and revenue conversion. Failure to show incremental commercial progress despite funded R&D would undermine the bullish interpretation.
• Treat T as an operational-use-case monitor rather than a quantum proxy trade: look for broader deployment and quantified savings before attributing earnings impact. Compare D-Wave’s commercial evidence with Rigetti’s funded delivery progress and IonQ/SkyWater integration, but avoid a peer pair until comparable revenue and valuation data are verified.