D-Wave Quantum Is Down 15% This Year. Is Now the Time to Buy?

D-Wave Quantum posted 2025 revenue growth of 179% and gross profit growth of 265%, while ending the year with a record liquidity position of over $884 million. Bookings surged 471% in 2025 and topped $32 million in Q1 2026, but the company still reported a $355 million net loss for fiscal 2025. The article frames the recent share-price dip as a potential entry point, though the stock remains richly valued at an enterprise-value-to-revenue ratio near 280.

Analysis

QBTS is trading less like a business and more like a funded call option on a future category winner: the balance sheet removes near-term financing overhang, but the valuation already discounts a high probability of becoming the default commercial quantum platform. The key second-order issue is that rising bookings now matter more than revenue because they indicate an installed-base compounding loop; if those contracts convert into repeat workloads, the market will start capitalizing backlog quality rather than just top-line growth.

The competitive read-through is modestly negative for NVDA only at the narrative margin, not the earnings margin. Quantum is unlikely to displace GPU demand on any investable horizon, but the headline risk can pressure sentiment in the AI trade whenever investors search for “next compute paradigm” alternatives; that matters most for speculative pockets of the AI complex rather than for NVIDIA’s core data-center economics. INTC is more of a bystander here, though any renewed excitement around non-GPU compute can help keep broader semi multiples elevated.

The main risk is not technological failure alone, but multiple compression after the stock has already repriced on optionality. Over the next 1-3 quarters, any slowdown in bookings growth, weaker-than-expected contract conversion, or a shift in management guidance toward spending discipline could trigger a sharp de-rating because the stock’s valuation leaves little room for execution slips. Over 12-24 months, the bearish case is that quantum remains strategically important but commercially niche, which would make current EV/revenue optics unsustainable.

Consensus seems to be missing that the best risk-adjusted expression may not be outright long QBTS, but a relative-value long against lower-quality, less capitalized quantum exposures or against parts of the AI trade most vulnerable to narrative rotation. The stock can keep working if the company sustains bookings momentum, but the asymmetry has narrowed: upside now requires continued evidence of monetization, while downside can be triggered by merely “good but not exceptional” progress.

Key Decisions for Investors

• Avoid chasing QBTS outright here; if entering, use a 6-12 month starter position only on a pullback, with a hard thesis checkpoint on next bookings print and conversion rates. Risk/reward is acceptable only if the market gives a better entry than the current post-runup premium.
• For a tactical expression, buy QBTS call spreads 3-6 months out rather than stock to cap valuation risk while retaining upside if bookings remain >$30M/quarter equivalent. Best used into weakness; the trade works only if continued contract momentum forces another multiple expansion leg.
• Use NVDA as a hedge against a speculative quantum-narrative basket: short-dated NVDA puts or a small short against QBTS can monetize any near-term headlines that rotate attention away from GPU dominance. This is a sentiment hedge, not a fundamental long-term bearish view on NVDA.
• If you want cleaner relative value, long QBTS / short a weaker pre-profitability innovation stock with similar duration risk but inferior balance sheet quality. The market is rewarding ‘survivability plus traction’; isolate that factor rather than owning pure narrative beta.
• Set a 90-day catalyst watch: if QBTS reports bookings growth deceleration or commentary that backlog is elongating instead of converting, reduce exposure aggressively. The stock’s downside is likely to be fast because the current holder base is momentum-sensitive.