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D-Wave Quantum logo
QBTS.NYSE
D-Wave Quantum
Information Technology · Electronic Equipment & Instruments

Quantum computing company commercializing annealing and gate-model quantum systems, software, and enterprise quantum applications.

HQ: United StatesListed: United States

AI Consensus

On this page, you will be able to compare multi-agent consensus ratings, forecast paths, AI price targets, expected return, fundamentals, analyst disagreement, risks, and the investment thesis across short- and long-term horizons.

AI Consensus Investment Thesis

D-Wave Quantum (QBTS) Stock Forecast and AI Rating

Returns refreshed Deep analysis published 12 min read
1-Year and 5-Year Forecast Outlook

Forecast targets and rating

Final recommendation

SELL ALL

Calculated from the frozen synthesized path using the same return, horizon, volatility and dividend rules as individual opinions.

2027

1-Year

SELL ALL

$13

-26.5%
2031

5-Year

SELL ALL

$5.71

-66.6%

Latest flagship insight

Extreme Valuation Multiples Face Severe Contraction Amidst Chronic Operational Cash Burn

There is high consensus across reports that an unsustainable gap exists between multi-billion-dollar market capitalization and single-digit quarterly revenue. While enterprise optimization contracts and dual-platform innovation provide vital baseline support, relentless operational cash burn and multiple compression dominate the long-term outlook.

Deep Forecast Analysis by iPulse AI Engine

This is the latest published deep-analysis batch. Audit published forecasts in full transparency

Machiavelli (Insider) advisor portraitWarren Buffett (Value Purist) advisor portraitMichael Burry (Vulture) advisor portraitUniversal Investor (Polymath) advisor portraitElon Musk (Visionary) advisor portraitSuperintelligence (Anthropologist) advisor portraitJ.P. Morgan (Titan) advisor portraitSherlock Holmes (Whistleblower) advisor portraitRay Dalio (Strategist) advisor portrait

Machiavelli (Insider), Warren Buffett (Value Purist), Michael Burry (Vulture), Universal Investor (Polymath), Elon Musk (Visionary), Superintelligence (Anthropologist), J.P. Morgan (Titan), Sherlock Holmes (Whistleblower), Ray Dalio (Strategist). Some archetypes run in multiple modes, resulting in 14 advisors total.

Computed on these frontier AI models
Gemini AI model logoGeminiClaude AI model logoClaudeChatGPT AI model logoChatGPT

Executive Summary

Dotted terms open concise definitions. Browse technical terms

If you invested $10,000 in D-Wave Quantum at the forecast anchor (2026-09-18): $3,336 in five years versus $13,892 for S&P 500 benchmark.

Five-year synthesized consensus forecast for D-Wave QuantumThe diagram shows the synthesized consensus value path for D-Wave Quantum, forecast milestones, and a comparison with S&P 500 benchmark. excluding any dividend yield adjustment.$10,000$20,000$3,336 (-66.6%)$13,892 (+38.9%)Anchor2026-09-182027(1Y)2028(2Y)2029(3Y)2030(4Y)2031(5Y)
D-Wave Quantum · Synthesized ConsensusS&P 500 benchmark
Figure: Five-year synthesized consensus value path for D-Wave Quantum compared with S&P 500 benchmark. The path uses the synthesizer’s normalized opinion weights.
20-quarter synthesized forecastPrice targets, quarterly returns and the reasoning behind each step

Frozen forecast from 18 Sept 2026. Prices in USD; returns exclude dividends. Each quarter is compounded from the previous quarter.

Anchor: 17.11 USD1-year price return: -26.51%5-year price return: -66.64%

Swipe the table horizontally to read every column.

Twenty quarterly synthesized price forecasts in USD, with returns and rationale
QuarterTarget (USD)Quarter returnTotal returnForecast rationale
Q4 202614.99-12.41%-12.41%Restrictive monetary policy and elevated sovereign yields penalize speculative tech multiples. Sluggish third-quarter revenue prints and government share-resale overhang trigger institutional multiple compression, outweighing excitement over year-end installations.
Q1 202714.37-4.12%-16.02%Full revenue recognition from completed university annealing system deliveries generates a sharp headline revenue spike. Speculative short-covering triggers a relief rally despite persistent underlying operational losses.
Q2 202713.66-4.91%-20.14%First-quarter results reveal severe sequential revenue contraction following one-off hardware deliveries. Escalating dual-platform research expenses widen operating deficits, puncturing turnaround optimism and restarting equity de-rating.
Q3 202712.57-7.98%-26.51%Management activates equity shelf facilities to fund cryogenic research, inducing dilution anxiety. Prolonged enterprise IT sales cycles delay bookings conversion, accelerating valuation multiple compression toward software benchmarks.
Q4 202711.74-6.67%-31.41%Tax-loss harvesting and elevated capital costs pressure non-earning deep tech. Enterprise clients evaluate classical computing alternatives, slowing recurring cloud subscription growth and driving institutional portfolio liquidation.
Q1 202810.97-6.50%-35.87%Full-year filings confirm annual cash burn exceeding one hundred million dollars without commensurate revenue expansion. Sell-side analysts trim long-term targets as persistent multiple compression overpowers incremental customer wins.
Q2 202810.57-3.69%-38.23%Technical milestones in dual-rail gate prototyping spark speculative trading enthusiasm. Momentum buyers bid shares upward on universal computing optionality, though near-term cash generation remains fundamentally absent.
Q3 20289.46-10.47%-44.70%Advancements in classical GPU optimization algorithms directly challenge annealing speedup claims on benchmark logistics problems. Slower contract conversions re-expose the business to multiple de-rating across secondary markets.
Q4 20288.87-6.21%-48.14%Dilution from active equity issuance facilities increases common share supply, depressing per-share metrics. High operating overhead and cryogenic laboratory expenses reinforce broad investor preference for cash-generative technology leaders.
Q1 20298.55-3.64%-50.02%Delivery of an on-premises system to a European research consortium creates a temporary revenue pulse. Technical validation supports a transient rebound, though recurring cloud margins remain structurally constrained.
Q2 20298.09-5.36%-52.70%Post-delivery revenue drops back to baseline services run-rates while dual-platform fabrication outlays escalate. Investors refocus on terminal share dilution, pushing quoted equity values through prior technical support.
Q3 20297.70-4.81%-54.98%Persistent nine-figure operating deficits force management to prioritize cost rationalization. Slower R&D spending extends gate-model development horizons, prompting growth-oriented momentum funds to reduce long-term capital allocations.
Q4 20297.17-6.93%-58.10%Sustained high benchmark rates maintain upward pressure on hurdle rates for unmonetized technology assets. Thin holiday trading liquidity and ongoing share-count expansion cause steady valuation drift lower.
Q1 20306.89-3.83%-59.70%Disclosures reveal annual sales struggling to scale past thirty million dollars against massive cumulative losses. Speculative premiums continue deflating as market participants revalue the firm toward tangible net assets.
Q2 20306.79-1.54%-60.32%Commercial rollout of next-generation high-density annealing processors sparks an oversold technical relief bounce. Niche industrial logistics customers renew hybrid cloud solvers, providing temporary sentiment and volume support.
Q3 20306.33-6.69%-62.98%Universal gate-model breakthroughs from well-capitalized tech titans crowd out enterprise exploratory budgets. Annealing platform pricing power faces erosion, restarting systematic multiple contraction toward specialized hardware multiples.
Q4 20306.08-4.00%-64.46%Year-end tax-loss selling compounds pressure as institutional funds eliminate lingering non-profitable holdings. Shareholder equity continues absorbing dilution from historical equity shelf operations and employee stock compensation.
Q1 20315.92-2.62%-65.39%Annual financial statements show gradual recurring cloud revenue gains offset by extensive historical share-count expansion. Trading activity reflects valuation fatigue, with shares settling near underlying net cash backing.
Q2 20315.88-0.77%-65.65%Narrowing quarterly operational burn and steady federal research support establish preliminary fundamental price discovery. Value-oriented deep-tech specialists accumulate shares around tangible asset floors, stabilizing trading volatility.
Q3 20315.71-2.87%-66.64%Valuation reaches terminal equilibrium on normalized hardware and cloud subscription revenues. The multi-year de-rating cycle concludes, leaving the equity priced on tangible operating cash generation rather than speculative promises.

The base-case investment thesis identifies an acute, structural discrepancy between market valuation and commercial monetization. Trading at roughly five hundred times trailing revenue, the equity discounts flawless multi-decade execution that commercial reality cannot validate. While quantum annealing demonstrates practical utility in combinatorial optimization and the dual-rail acquisition expands universal gate optionality, recognized quarterly revenue remains stuck near three million dollars. Parallel development of two capital-intensive architectures accelerates annual operating past one hundred million dollars, creating persistent reliance on equity financing facilities. Valuation sensitivity is extreme under restrictive monetary conditions. Elevated discount rates ruthlessly punish distant, unmonetized cash flows, while classical computing advances continuously narrow the commercial quantum performance advantage. The strongest counterargument rests on sovereign defense mandates and non-dilutive federal capital, which could alleviate balance-sheet strain and validate specialized hardware moats.

Key insights

  • Lumpy on-premises capital-equipment shipments create deceptive revenue surges that mask stagnant underlying recurring cloud software subscriptions across corporate enterprise cohorts.
  • Dual-platform development structurally doubles cryogenic research and development overhead, ensuring persistent operating deficits that outpace incremental gross profit expansion.
  • Sustained capital consumption guarantees compounding share-count expansion, permanently diluting per-share economic claims regardless of absolute technological or roadmap milestones.

Deep Dive

The prevailing crowd narrative views the company as an elite commercial quantum leader transitioning from experimental science into exponential market dominance. Retail investors and momentum funds fixate on surging gross bookings announcements, sovereign defense grants, and compute narratives. This optimism assumes multi-billion-dollar addressable markets are imminent, treating current cash reserves as proof of solvency while ignoring microscopic trailing revenues.

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AI Consensus
AI Opinions
Company Profile

Alpha Gap & Repricing Catalysts

Where does the current market narrative diverge from our AI Opinions—and what could close the gap?

Market Narrative

What does the market currently expect? The prevailing crowd narrative views the company as an elite commercial quantum leader transitioning from experimental science into exponential market dominance. Retail investors and momentum funds fixate on surging gross bookings announcements, sovereign defense grants, and compute narratives. This optimism assumes multi-billion-dollar addressable markets are imminent, treating current cash reserves as proof of solvency while ignoring microscopic trailing revenues.

Alpha Gap

What is the biggest difference between market expectations and our AI forecasts? The crowd radically overestimates value, resulting in severe overpricing. The market mistakenly equates unbilled bookings and sporadic hardware deliveries with scalable software-as-a-service growth. Forensic analysis reveals that backing out occasional system sales exposes an anemic three-million-dollar quarterly recurring cloud run-rate. With annual free exceeding one hundred million dollars, paying five hundred times sales creates mathematical vulnerability to that operational milestones cannot offset.

Repricing Catalyst

What could make the market recognize and close that gap? Consecutive quarterly earnings releases showing recognized revenues stagnating below five million dollars alongside operating cash deficits above thirty million dollars will trigger repricing. As management taps active equity shelves to defend liquid reserves, reality will shatter speculative growth expectations. Sell-side downgrades and institutional de-risking will accelerate repricing within a twelve-to-eighteen-month window.

Sentiment and Timing

What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?

Greed / Fear
Fear
Volatility
High Erratic
Cycle position
Reversal

While retail indicators reflect residual speculative greed, institutional sentiment has firmly shifted toward risk-off capital preservation. Disagreement centers on whether current cash reserves provide sufficient runway to achieve commercial profitability before punitive equity recapitalizations become necessary.

Macro Regime Fit

Does the current market environment support the thesis? The macroeconomic backdrop of renewed central-bank tightening, policy rates near four percent, and ten-year Treasury yields testing five percent is an aggressive headwind. Higher hurdle rates ruthlessly de-rate speculative, long-duration tech equities lacking positive , raising equity financing costs and constraining enterprise exploratory technology research budgets.

Advisor Disagreement

What do our AI Advisors disagree about most? The primary analytical disagreement across reports centers on commercialization velocity and the durability of the current liquidity fortress. Optimistic models emphasize expanding contracted , non-dilutive allocations, and high on cloud solvers, arguing these forces will sustain a . Conversely, forensic perspectives demonstrate that current cash balances represent a melting ice cube against annual cash burns exceeding one hundred million dollars. The debate turns on whether enterprise bookings convert into repeatable cash flow before cash exhaustion forces another dilutive recapitalization.

Base-Case Forces

Event Risk ScoreVery High100/100

Near-certain positive forces

Top Drivers / Tailwinds

Near-certain forces that support the investment thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.

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Top Drivers / Tailwinds with asset-specific estimated impacts and thesis rationale
Driver / TailwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Commercial optimization contract expansionCompetitive Positioning+28%+40%Enterprise clients in logistics, telecommunications, and financial portfolio management increasingly deploy hybrid cloud solvers for complex combinatorial scheduling. Demonstrating measurable over brute-force classical methods converts exploratory pilot programs into recurring multi-year cloud subscriptions, improving top-line stability and bolstering software realization across the five-year forecast horizon.
Sovereign quantum defense fundingPolitical And Geopolitical+22%+25%National security directives and allocations channel non-dilutive public-sector capital directly into domestic quantum packaging and fabrication infrastructure. These governmental task orders and research grants provide a predictable multi-year revenue baseline, insulating operational research pipelines from commercial enterprise IT retrenchment and confirming strategic sovereign positioning.
Advantage2 hardware delivery recognitionOperational Efficiency+20%+35%Scheduled customer acceptances of sixth-generation on-premises annealing systems inject large lump-sum cash payments and recognized revenue spikes. Delivering these multi-million-dollar institutional installations validates hardware manufacturing capabilities, temporarily easing operating and periodically boosting reported gross profit during milestone delivery cycles.
Dual-platform architecture technological roadmapInnovation And Product+18%+20%Integrating dual-rail cavity qubit technology provides an authentic engineering pathway toward universal fault-tolerant quantum computing alongside commercial annealing. Validating built-in error detection and scaling intermediate qubit prototypes expands the addressable problem domain into quantum chemistry and cryptography, preserving speculative enterprise option value.

Near-certain negative forces

Top Frictions / Headwinds

Near-certain forces that could slow, cap, or damage the thesis. These forces are treated as part of the base case (more than 60% probability of occurrence). Impact columns are specific to this asset class.

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Top Frictions / Headwinds with asset-specific estimated impacts and thesis rationale
Friction / HeadwindCategoryEst. stock-price impactEst. earnings impactWhy it matters
Extreme deflationMacroeconomic And Macrofinancial-52%-10%Trading at an astronomical multiple exceeding five hundred times trailing revenue in a restrictive interest-rate environment creates extreme valuation vulnerability. As market participants enforce cost-of- and require demonstrable cash generation, speculative will ruthlessly drag quoted valuations toward realistic deep-tech hardware benchmarks.
Dual-platform operating expenditure burnOperational Efficiency-35%-45%Simultaneously funding cryogenic annealing manufacturing and early-stage gate-model research elevates quarterly operating expenses past fifty million dollars. With trailing revenues covering less than ten percent of corporate outlays, chronic operational cash hemorrhaging severely impairs intrinsic and limits near-term .
Continuous shareholder Capital Allocation-30%-20%Funding chronic operational deficits requires continuous reliance on at-the-market equity facilities and secondary shelf offerings. Expanding common share systematically dilutes existing shareholders' per-share equity claims, creating persistent market supply overhang that caps price appreciation regardless of individual operational achievements.
Classical GPU algorithmic substitutionCompetitive Positioning-26%-30%Rapid advancements in classical GPU-accelerated computing, tensor networks, and simulated bifurcation heuristics routinely match or surpass quantum annealing throughput on commercial optimization benchmarks. Enterprise technology officers consistently favor accessible, lower-cost classical infrastructure over exotic cryogenic systems, constraining the commercial .

What Could Break or Accelerate the Thesis

Plausible downside scenarios

Tail Risks

Tail yet plausible downside scenarios selected for their highest potential impact.

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Tail risks with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Emergency dilutive balance-sheet recapitalization38%-65%Accelerating operating exceeding one hundred fifty million dollars annually could exhaust liquid reserves by 2028 if revenue conversion stalls. Forced to raise emergency capital into a falling share price, management would execute heavily discounted equity offerings with punitive warrant coverage, permanently destroying per-share equity value. Probability is 38% given rapid cash depletion.
Classical optimization supremacy invalidation32%-60%Independent academic and industrial benchmarks could conclusively demonstrate that commodity GPU clusters running modern tensor algorithms outperform Advantage2 systems across all industrial optimization problem spaces. Stripping away the quantum performance advantage would cause widespread cloud contract cancellations and multimillion-dollar asset write-downs. We assess realization probability at 32% as classical AI algorithms advance.

Plausible upside scenarios

Tail Opportunities

Tail yet plausible upside scenarios selected for their highest potential impact.

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Tail opportunities with plausibility, asset-specific potential impact and scenario rationale
Tail scenarioChance of OccurringStock Price ImpactWhy plausible / what changes
Commercial logical qubit breakthrough25%+95%The engineering team could validate a fault-tolerant logical qubit utilizing dual-rail cavity architectures ahead of industry roadmaps by 2028. Demonstrating reproducible error correction would instantly leapfrog universal computing rivals, unlocking massive enterprise licensing contracts and triggering aggressive valuation re-rating. Probability remains capped at 25% due to formidable cryogenic control hurdles.
Strategic buyout20%+75%An infrastructure cloud hyperscaler or prime defense contractor could acquire the company outright to monopolize proprietary annealing patents, fabrication facilities, and sovereign security relationships. Such a buyout would eliminate standalone and deliver an immediate takeover premium. Probability is restricted to 20% due to regulatory scrutiny and acquirers' preference for internal development.

Company Financial Analysis

D-Wave Quantum Earnings and Financials Analysis by AI

Financial figures available as of Sep 20, 2026. Only filings and source records available by this analysis date are included.

Earnings and financials

AI Review

The company's financial results show an erratic business that struggles to turn headline sales announcements into steady, repeatable cash flow. While reported revenue jumped to nearly twenty-five million dollars in fiscal 2025, that temporary spike was driven almost entirely by a single, non-recurring system sale. Once that transaction settled, quarterly sales collapsed back down to approximately three million dollars, revealing that underlying commercial customer adoption remains exceptionally small. Meanwhile, corporate spending continues to surge. The business recorded trailing twelve-month operating losses of one hundred seventy-one million dollars and burned through one hundred nineteen million dollars in negative free cash flow. Without large-scale commercial customer contracts, current operations act as an expensive science lab that consumes substantial capital without generating self-sustaining profits.

Revenue, earnings, and cash flow

The table compares up to five fiscal years of revenue, net income, and free cash flow available to this analysis.

Revenue, net income, and free cash flow history
Fiscal yearRevenueNet incomeFree cash flow
2025USD 24.6MUSD -355.1MUSD -75.8M
2024USD 8.8MUSD -143.9MUSD -44.7M
2023USD 8.8MUSD -82.7MUSD -61.3M
2022USD 7.2MUSD -53.7MUSD -45.7M
2021USD 6.3MUSD -41MUSD -36.8M

Valuation context: historical P/E

The table compares up to five fiscal years of point-in-time valuation evidence available to this analysis.

Historical price-to-earnings ratios
Fiscal yearP/EEarnings basisCurrency basisTicker / reporting
2025--TTMLoss-makingUSD / USD
2024--TTMLoss-makingUSD / USD
2023--TTMLoss-makingUSD / USD
2022--AnnualLoss-makingUSD / USD
2021--AnnualLoss-makingUSD / USD

P/E uses historical market capitalization and earnings known at each period. Cross-currency observations are normalized to USD using point-in-time FX rates.

Profitability and margins

AI Review

The company presents a misleading picture of profitability. Reported gross margins appear healthy, hovering between fifty-five and eighty percent, because delivering software access through the cloud incurs very little immediate delivery cost once the hardware is running. When customers buy cloud time, the direct transactional profit looks impressive on paper. However, this gross profit is completely overwhelmed by massive corporate overhead and research expenses. Operating margins remain deeply submerged below negative three hundred percent. Because running specialized cryogenic refrigerators and paying elite quantum engineering salaries costs far more than the business brings in, true bottom-line profitability remains mathematically impossible without massive sales expansion.

The table compares up to five fiscal years of operating income and reported profitability margins.

Operating income and margin history
Fiscal yearOperating incomeOperating marginNet margin
2025USD -100.4M-408.2%-1444.1%
2024USD -77.2M-874.8%-1630.0%
2023USD -80.5M-919.7%-944.5%
2022USD -59.5M-828.9%-748.7%
2021USD -38.9M-620.3%-652.5%

Balance sheet and leverage

AI Review

On the surface, the company appears to possess a solid financial cushion, holding roughly five hundred forty-six million dollars in cash and marketable securities with virtually no debt. This liquid buffer eliminates the danger of immediate bankruptcy and gives leadership a multi-year window to develop advanced quantum prototypes. However, this cash fortress was built entirely by issuing massive amounts of new stock during speculative trading rallies, not from actual business earnings. Because ongoing operations incinerate more than one hundred million dollars annually, this cash cushion is steadily melting away. Without dramatic sales growth, the company will inevitably be forced to issue more shares, diluting existing investors.

The table compares up to five fiscal years of debt, liquidity, net cash or debt, and current-ratio evidence.

Balance sheet leverage and liquidity history
Fiscal yearTotal debtCash + short-term investmentsNet cash / (debt)Current ratio
2025USD 43.5MUSD 884.5MUSD 591.9M net cash42.38x
2024USD 38.4MUSD 178MUSD 139.6M net cash6.14x
2023USD 72.7MUSD 41.3MUSD 31.3M net debt4.18x
2022USD 42.3MUSD 7.1MUSD 35.2M net debt0.87x
2021USD 39.4MUSD 9.5MUSD 29.9M net debt1.53x

Net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities.

Capex and investment intensity

AI Review

Management is directing massive amounts of shareholder money into complex technology development rather than standard physical property. The company spent roughly two hundred fifty million dollars in cash to purchase Quantum Circuits, attempting to expand from niche optimization machines into universal computing chips. Consequently, research and development expenditures surged past twenty-eight million dollars in a single recent quarter. This aggressive spending pace reflects an urgent effort to stay relevant against well-funded technology giants. However, because universal quantum computing is not expected to reach commercial scale for many years, these heavy investments produce negative economic returns today. This spending drains balance-sheet reserves without generating near-term business earnings.

The table compares up to five fiscal years of capital expenditure and research-and-development investment.

Capital expenditure and research and development history
Fiscal yearCapital expenditureR&D spend
2025USD 3.9MUSD 50.7M
2024USD 2.1MUSD 35.3M
2023USD 630KUSD 37.9M
2022USD 498KUSD 32.1M
2021USD 2MUSD 25.4M

Quarterly Forecast Scenarios

D-Wave Quantum Averaged Consensus Scenarios

One row per forecast quarter. Asset scenario targets are shown in USD; benchmark values are shown in USD.

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Quarterly Bear Case Stock Price, Base Case Stock Price, Bull Case Stock Price, and S&P 500 benchmark forecasts for D-Wave Quantum.
QuarterBear case (USD)Base case (USD)Bull case (USD)S&P 500 benchmark (USD)
$14.03$14.92$16.25$750.26
$11.93$14.19$17.32$736.44
$11.65$13.43$15.58$743.40
$9.9059$12.26$17.45$755.15
$9.6489$11.33$16.06$776.22
$8.1878$10.65$15.25$787.13
$7.7199$10.20$16.48$802.83
$6.6391$9.0973$15.49$812.05
$5.9088$8.4756$14.40$839.18
$5.6561$8.2164$15.27$850.50
$5.2612$7.7506$14.50$872.39
$4.7351$7.4034$15.52$885.51
$4.5457$6.8994$14.59$909.56
$4.1873$6.6575$14.00$916.13
$4.5433$6.5362$14.70$936.51
$4.0994$6.1091$13.97$947.34
$3.8124$5.8923$14.53$969.59
$3.6218$5.7533$13.80$979.99
$3.7667$5.7203$14.22$999.60
$3.506$5.5436$13.65$1,012

Behind the synthesis

How each opinion shapes the consensus

14 opinions · 100% allocated

The synthesized analytical consensus reveals an undeniable common pattern: an extreme dislocation between an equity valuation exceeding five hundred times sales and underlying recurring cash flows. Multiple reports corroborate that trailing twelve-month revenue near twelve million dollars cannot support annual operating cash burn exceeding one hundred million dollars. The reports most heavily weighted are those that anchor their thesis in verified corporate disclosures, backlog schedules, and the dual mechanics of lumpy hardware installations versus recurring cloud services. The credible contrarian bull thesis—predicated on rapid production scaling and non-dilutive defense backing—is tempered by the fact that federal subsidies arm rival platforms symmetrically while classical computing algorithms continuously narrow quantum speedup claims. Material unverified claims regarding sudden commercial obsolescence or imminent insolvency were downweighted due to the company's substantial liquidity buffer. These findings drive allocations toward models that capture systematic multiple contraction alongside modest operational growth.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

GPT-6 Astra
Weight11.1/100

Distinguished by superior primary documentation, integrating verified regulatory filings, recent exchange listing details, and explicit backlog data. It appropriately balances substantial top-line commercialization growth with realistic multiple compression, providing an impeccably grounded baseline model.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Opus 5
Weight10.2/100

Provides an outstanding, data-dense analysis of capital-equipment delivery cycles and federal equity overhang. Its identification of lump-sum hardware milestones, purchase-price amortization nuances, and realistic enterprise scaling makes it an indispensable, highly objective anchor report.

AI RESEARCHER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight8.3/100

Delivers an incisive forensic breakdown of owner earnings and negative free cash flow dynamics. The framework demonstrates sound causal consistency by linking rising hurdle rates directly to equity de-rating, while appropriately acknowledging high headline gross margins in cloud operations.

AI RESEARCHER
J.P. Morgan AI advisor icon

J.P. Morgan AI

The Titan

Gemini 3.8 Flash
Weight7.4/100

Provides a rigorous assessment of multiple compression from five hundred times sales toward historic hardware norms. The analysis accurately documents the gap between non-recurring system revenues and ongoing corporate cash burn, though it moderately underweights non-dilutive sovereign grant options.

AI RESEARCHER
Ray Dalio AI advisor icon

Ray Dalio AI

The Strategist

Gemini 3.8 Flash
Weight7.4/100

Exhibits strong macroeconomic grounding regarding real yield pressures on pre-profit duration assets. The rationale clearly traces how persistent research expenditures erode equity capital without achieving operating leverage, providing a balanced through-cycle scenario for commercial annealing adoption.

AI RESEARCHER
Michael Burry AI advisor icon

Michael Burry AI

The Vulture

Gemini 3.8 Flash
Weight7.4/100

Offers exceptional forensic scrutiny of revenue lumpiness, pinpointing the reliance on isolated system sales. It meticulously analyzes share count expansion through active shelf registrations, establishing clear causal links between cash burn and per-share value erosion.

AI THINKER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight7.4/100

Features robust multi-factor synthesis reconciling technological achievements with commercial reality. It correctly emphasizes that high gross margins cannot compensate for colossal overhead when quarterly revenue stagnates near three million dollars, justifying sustained multiple contraction.

AI RESEARCHER
Elon Musk AI advisor icon

Elon Musk AI

The Visionary

Gemini 3.8 Flash
Weight6.5/100

Presents strong technological skepticism regarding the limitations of quantum annealing against classical accelerated computing. While somewhat aggressive regarding liquidation risks, its examination of dual-rail qubit physics and the competitive threat from classical heuristics is logically sound.

AI RESEARCHER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight6.5/100

Effectively captures the behavioral divide between speculative sentiment and corporate reality. The report accurately evaluates how enterprise chief information officers prioritize accessible classical cloud solvers over capital-intensive cryogenic hardware, explaining sluggish enterprise contract conversion.

AI THINKER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight6.5/100

Delivers coherent economic analysis contrasting book value dynamics with negative operating returns. It illustrates why software gross margins fail to translate into corporate earnings, though its terminal multiple contraction assumptions are somewhat aggressive.

AI RESEARCHER
Sherlock Holmes AI advisor icon

Sherlock Holmes AI

The Whistleblower

Gemini 3.8 Flash
Weight5.6/100

Uncovers critical governance factors, insider divestments, and the operational burden of post-merger integration. The rationale effectively explains revenue recognition risks, but slightly overstates immediate regulatory enforcement likelihood without formal confirmed actions.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight5.6/100

Constructs a solid operational framework evaluating enterprise cloud subscriptions against lumpy on-premises system shipments. It correctly identifies the drag of parallel dual-track research spending while capturing baseline commercial adoption in transportation logistics.

AI RESEARCHER
Machiavelli AI advisor icon

Niccolo Machiavelli AI

The Insider

Gemini 3.8 Flash
Weight5.6/100

Offers valuable geopolitical perspective regarding defense procurement constraints and sovereign cryptography priorities. It soundly traces how capital costs enforce discipline on speculative assets, though its terminal multiple assumptions remain somewhat conservative.

AI THINKER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight4.6/100

Highlights the critical risk of technological substitution by classical graphics processors. However, it leans heavily on pessimistic sentiment rhetoric and somewhat overlooks the strategic defensive floor provided by federal grants and substantial current liquid assets.

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Research Provenance

References & Context

This D-Wave Quantum consensus analysis combines structured market evidence with independent AI-agent forecasts. External references below are limited to sources recorded by the researcher agents for this forecast batch.

Primary analysis inputs

  • iPulse AI Multi-Agent Forecasts — independent analyst personas, model outputs, and consensus synthesis.
  • iPulse AI Global Events Context — macroeconomic, geopolitical, regulatory, and industry-event context.
  • Structured market history — prices, distributions, volatility, identifiers, and listing metadata.
  • Company earnings and financial statements — revenue, profitability, balance-sheet, cash-flow, and investment trends.
  • Researcher web evidence — public sources consulted to challenge and contextualize the forecast thesis.

Independent AI Advisor panel

AI Advisors
14
AI Researchers
11
AI Thinkers
3

Sources retained from AI Researcher searches

Asset-specific · Researcher web

Showing the top 15 of 59 deduplicated sources retained for this batch.

  1. 01Federal Reserve Board - Federal Reserve issues FOMC statementfederalreserve.gov
  2. 02D-Wave Quantum Inc. - Form 10-Q - FY2026sec.gov
  3. 03D-Wave Quantum Inc. - Form 8-K - FY2026sec.gov
  4. 04https://www.sec.gov/Archives/edgar/data/1907982/000190798226000057/qbts-20260512xexx991.htm?utm_source=openaisec.gov
  5. 05https://www.sec.gov/Archives/edgar/data/1907982/000190798226000127/qbts-20260806xexx991.htm?utm_source=openaisec.gov
  6. 06In addition to D-Wave’s history of innovation with annealing quantum computers, we have been making steady progress with our gate-model technology development as well. Both the annealing and gate-model technology are built on superconducting qubits which we believe have a long-term advantage over all other approaches to quantum computing. We are also leveraging the quantum systems technology we have developed for our annealing technology to accelerate our gate-model program. We have designed, manufactured, and operated high-coherence fluxonium qubits. In addition, we have announced a strategic advanced cryogenic packaging initiative and demonstrated end-to-end superconducting interconnect between chips, work that D-Wave expects will serve as an important foundation for scaling both D-Wave's annealing architectures and its gate-model architectures. In January 2026, we revealed the recent successful demonstration of scalable on-chip cryogenic control of gate-model qubits. This industry-first milestone advances the development of commercially viable gate-model quantum computers by significantly reducing the wiring required to control large numbers of qubits without degrading qubit fidelity.sec.gov
  7. 07qbts-20260120sec.gov
  8. 08qbts-20260818sec.gov
  9. 09D-Wave Quantum: Uncle Sam's $100 Million Bet Puts Washington in the Shareholder Seatad-hoc-news.de
  10. 10D-Wave Quantum: Washington Holds the Chips, and a 7.1 Million Share Exit Doorad-hoc-news.de
  11. 11D-Wave Quantum: Washington's Equity Stake Rewrites the Rules of Quantum Subsidiesad-hoc-news.de
  12. 12Numerical simulation of D-Wave's quantum advantage experiment with time-dependent variational Monte Carloarxiv.org
  13. 13Quantinuum closes flat in Nasdaq debut, after upsized offeringcnbc.com
  14. 14QBTS Stock Quote Price and Forecast | CNNcnn.com
  15. 15D-Wave acquires Quantum Circuits Inc. for $550m - DCDdatacenterdynamics.com

And 44 more sources were used and retained in the batch inventory.

Context retained with this Consensus

The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.

03

Global context snapshot

2025 Full-Year Global Market and World-Events Context

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Coverage 2025-01-01 to 2025-12-31 · Knowledge cutoff 2025-12-31

This full-year context package covers the principal geopolitical, economic, monetary-policy, technology, trade, energy, and institutional developments that shaped global markets during 2025. It gives the forecasting model a chronological account of major world events together with their likely transmission into growth, inflation, interest rates, supply chains, commodities, currencies, public markets, and sector-level investment conditions.

The package also includes monthly and quarterly macroeconomic and cross-asset reference tables spanning US and international growth, central-bank policy, sovereign yields, major equity indices, foreign exchange, energy, industrial and precious metals, and digital assets. Quarterly and full-year high-impact summaries are integrated; monthly quantitative series remain working values pending final audit, and that qualification is part of the preserved context.

Top 3 market shifts from 2025 Full-Year Global Market and World-Events Context
Top 3 Market Shifts From FileDateStatus
DeepSeek shock and AI economics reset2025-01-27OPEN ENDED TREND
US tariff regime escalation and trade-system rupture2025-02-01ACTIVE POLICY REGIME
Federal Reserve easing cycle after a prolonged hold2025-09-17ACTIVE POLICY REGIME

2026 Year-to-Date Global Market and World-Events Context Through September 20

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Coverage 2026-01-01 to 2026-09-20 · Knowledge cutoff 2026-09-20

January 1-September 20, 2026: monetary tightening, energy security, trade restrictions, AI financing and divergent growth; five leading market themes.

Fed raised rates to 3.75%-4.00%; ECB hike is in force and BOJ increase starts September 24. Markets through September 18, bitcoin through September 19.

Top 3 market shifts from 2026 Year-to-Date Global Market and World-Events Context Through September 20
Top 3 Market Shifts From FileDateStatus
Renewed monetary tightening amid persistent inflation2026-01-30ACTIVE POLICY REGIME
Iran/Hormuz conflict and wider energy-security disruption2026-02-28ONGOING
Tariff legal reset and strategic supply restrictions2026-02-20ACTIVE POLICY REGIME

Representative Sources of the Context File

And more sources from the retained context package.

02

Fundamental context

Income statement

9 fields

depreciationAndAmortization · ebit · ebitda · grossProfit · +5 more fields

Balance sheet

12 fields

cash · commonStockSharesOutstanding · longTermDebt · netDebt · +8 more fields

Cash flow

5 fields

capitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field

annual: 2020-12-31–2025-12-31, 6 periods; quarterly: 2023-09-30–2026-06-30, 12 periods

Currencies cited: USD (quote USD; primary reporting USD; converted/valuation USD).

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