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000660.KRX
SK Hynix
Information Technology · Semiconductors

South Korean semiconductor supplier and large memory chip maker specializing in DRAM and NAND flash memory.

HQ: South KoreaListed: South Korea

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

SK Hynix (000660) 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

NEUTRAL

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

2027

1-Year

PARTIAL SELL

₩1,800,995

-3.0%-2.3% incl. dividends
2031

5-Year

NEUTRAL

₩2,162,852

+16.5%+20.6% incl. dividends

Latest flagship insight

Packaging Monopoly Rents Face Relentless Capital Cycle Reckoning Ahead

High consensus confirms unprecedented high-bandwidth memory profitability and balance-sheet fortification through 2027, contrasted with sharp divergence regarding cyclical downcycle severity. Impending industry fab expansions and competitor qualification threaten peak pricing power, making long-term value compounding contingent on through-cycle cost leadership and capital discipline.

Deep Forecast Analysis by iPulse AI Engine

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

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

Warren Buffett (Value Purist), Universal Investor (Polymath), Michael Burry (Vulture), Superintelligence (Anthropologist), J.P. Morgan (Titan), Ray Dalio (Strategist), Machiavelli (Insider), Sherlock Holmes (Whistleblower), Elon Musk (Visionary). 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 SK Hynix at the forecast anchor (2026-09-18): $11,924 in five years versus $13,892 for S&P 500 benchmark.

Five-year synthesized consensus forecast for SK HynixThe diagram shows the synthesized consensus value path for SK Hynix, forecast milestones, and a comparison with S&P 500 benchmark. including estimated net dividends of 0.7% per year.$10,000$15,000$11,924 (+19.2%)$13,892 (+38.9%)Anchor2026-09-182027(1Y)2028(2Y)2029(3Y)2030(4Y)2031(5Y)
SK Hynix · Synthesized ConsensusS&P 500 benchmark

* Return is calculated incl. 0.7% net dividend yield for SK Hynix.

Figure: Five-year synthesized consensus value path for SK Hynix 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 KRW; returns exclude dividends. Each quarter is compounded from the previous quarter.

Anchor: 1,857,000 KRW1-year price return: -3.02%5-year price return: +16.47%

Swipe the table horizontally to read every column.

Twenty quarterly synthesized price forecasts in KRW, with returns and rationale
QuarterTarget (KRW)Quarter returnTotal returnForecast rationale
Q4 20261,926,451.80+3.74%+3.74%Record Blackwell Ultra shipments and firm high-bandwidth memory contract pricing drive strong fourth-quarter operating cash flow, while the ongoing 40-trillion-won share retirement program tightens share float against restrictive monetary discount rates.
Q1 20271,954,770.64+1.47%+5.26%Customer qualification confirmations for next-generation Vera Rubin HBM4 architectures reinforce pricing power. Tight global memory supply sustains elevated operating margins, though rising capital costs prevent aggressive price-to-earnings multiple expansion.
Q2 20271,913,915.94-2.09%+3.06%Commercial volume shipments of 16-high HBM4 expand revenue velocity, but initial competitor sample qualifications introduce early contract pricing scrutiny, moderating institutional multiple expansion as forward supply expectations begin shifting.
Q3 20271,800,994.89-5.90%-3.02%Peak-cycle earnings momentum confronts sequential deceleration in blended memory average selling prices. Hyperscalers moderate server order velocity amid power infrastructure limits, initiating selective multiple compression across semiconductor cyclical holdings.
Q4 20271,700,319.28-5.59%-8.44%Year-end server procurement pauses intersect with emerging competitor volume qualification. Slower order growth and rising cleanroom construction expenses prompt institutional profit-taking, leading to a moderate cyclical retracement in equity valuation.
Q1 20281,561,573.23-8.16%-15.91%Competitive supply from rival fabricators reaches commercial volume, weakening pricing premiums on high-bandwidth contracts. Operating margins compress from historical peaks as customer dual-sourcing forces initial contract price renegotiations.
Q2 20281,471,001.98-5.80%-20.79%Synchronized industry fab additions flood global channels, exacerbating memory channel inventory accumulation. Newly commissioned cleanroom depreciation burdens compress operating leverage, precipitating negative earnings revisions and broad-based equity de-rating.
Q3 20281,425,548.02-3.09%-23.23%Hyperscalers enter a synchronized hardware capex digestion phase, delaying server refresh cycles. Memory contract prices decline toward cash production costs, forcing cyclical downcycle repricing despite impregnable balance-sheet net cash reserves.
Q4 20281,435,099.19+0.67%-22.72%Operating margins approach their cyclical nadir near historical mid-cycle levels. Industry-wide capital expenditure curtailments and proactive wafer reductions begin arresting price declines, establishing a durable valuation floor supported by net cash.
Q1 20291,485,471.17+3.51%-20.01%Customer inventory destocking reaches completion across enterprise cloud channels. Memory contract pricing stabilizes, prompting contrarian deep-value accumulation as investors recognize that normalized trough profitability remains structurally superior to prior cycles.
Q2 20291,559,447.64+4.98%-16.02%Next-generation model training and edge inference workloads stimulate re-acceleration in high-bandwidth memory bit demand. Sequential revenue growth turns positive, confirming the onset of a fresh operational recovery phase.
Q3 20291,635,704.63+4.89%-11.92%Commercial sampling of custom HBM4E featuring advanced logic base dies restores technology premiums. Expanding enterprise SSD shipments broaden revenue diversification, lifting consolidated operating income and driving steady multiple recovery.
Q4 20291,719,943.41+5.15%-7.38%Initial wafer output from the Yongin mega-cluster unlocks operational scale economies. Unit-cost reductions and rebounding server DRAM contracts drive strong positive operating leverage, fueling robust sequential share price appreciation.
Q1 20301,804,048.65+4.89%-2.85%Evolving agentic AI architectures expand memory intensity per accelerator cluster, sustaining tight supply conditions. Cash conversion accelerates, enabling management to reinstate expanded shareholder dividend distributions alongside targeted share buybacks.
Q2 20301,877,112.62+4.05%+1.08%Commercial introduction of monolithic 3D DRAM architectures widens competitive differentiation over lagging peers. Expanding addressable enterprise inference budgets support premium product pricing, driving consecutive quarters of upward earnings revisions.
Q3 20301,942,623.85+3.49%+4.61%Emerging commercial deployments of autonomous physical robotics and vehicular compute generate secondary non-cloud memory demand. High fab utilization rates protect operating margins near forty percent, sustaining positive equity revaluation momentum.
Q4 20302,010,227.16+3.48%+8.25%Synchronized global infrastructure spending and mature tiered storage adoption deliver strong fourth-quarter operating results. Reinvested capital in advanced packaging yields durable economic returns, cementing mid-cycle earnings compounding into year-end.
Q1 20312,055,658.29+2.26%+10.70%Global capacity additions introduce brief seasonal digestion across commodity memory lines, but contracted custom high-bandwidth allocations shield consolidated cash flows, keeping quarterly price performance resilient against broader macro fluctuations.
Q2 20312,117,122.47+2.99%+14.01%Advanced hybrid copper-bonding packaging achieves high-volume manufacturing yields, locking in exclusive allocations across frontier AI platforms. Sustained return on invested capital reinforces institutional conviction in long-term structural earnings power.
Q3 20312,162,852.32+2.16%+16.47%The five-year forecast closes at a mature mid-cycle valuation equilibrium. Structurally elevated computing demand, reduced share float, and disciplined capital allocation confirm permanent franchise value expansion far above pre-AI benchmarks.

The base-case economic thesis resolves the tension between unmatched Advanced MR-MUF packaging execution and the inevitable gravity of the semiconductor capital cycle. Near-term earnings velocity is anchored by locked-in HBM3E and allocations on dominant accelerator platforms, generating record cash conversion and eliminating . However, optical trailing price-to-earnings ratios below 9x reflect peak-cycle conditions distorted by non-operating investment windfalls. Valuation remains acutely sensitive to the multi-competitor supply wave arriving across 2027 to 2028, where synchronized wafer additions and digestion will enforce margin normalization toward historical mid-cycle averages.

Key insights

  • co-design with foundry logic creates substantial customer , yet cannot permanently repeal commodity memory capacity overshoots.
  • Fortress net cash reserves exceeding 69 trillion KRW insulate solvency, ensuring massive domestic mega-fab commitments are self-funded without dilutive financing.
  • Shareholder return mechanisms, including 40-trillion-won share cancellations, establish a mechanical per-share earnings cushion that mitigates cyclical downcycle .

Deep Dive

The outside consensus treats the company as an unassailable tollbooth, extrapolating peak 50% into a permanent structural annuity. Sell-side models anchor on sold-out order books through 2027 and single-digit trailing price-to-earnings ratios, naively assuming high-bandwidth memory has broken traditional silicon cyclicality while wholly discounting looming 2028 industry fab expansions and customer dual-sourcing.

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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 outside consensus treats the company as an unassailable tollbooth, extrapolating peak 50% into a permanent structural annuity. Sell-side models anchor on sold-out order books through 2027 and single-digit trailing price-to-earnings ratios, naively assuming high-bandwidth memory has broken traditional silicon cyclicality while wholly discounting looming 2028 industry fab expansions and customer dual-sourcing.

Alpha Gap

What is the biggest difference between market expectations and our AI forecasts? The crowd underestimates the inevitable of peak-cycle profitability, mispricing temporary scarcity rents as a permanent . Trailing earnings are artificially inflated by non-operating asset revaluations, while price-to-book multiples trade well above historical averages. The analytical edge recognizes that while packaging moats defend leadership through 2027, massive capacity additions from rivals and digestion will compress toward 35%, triggering multi-year valuation de-rating.

Repricing Catalyst

What could make the market recognize and close that gap? The decisive convergence catalyst will be late-2027 contract negotiations and inventory disclosures, where commercial qualification of rival stacks forces the first sequential deceleration in blended average selling prices. moderation will puncture peak-earnings complacency, prompting downward revisions in consensus earnings models and re-anchoring valuation to normalized mid-cycle cash flows.

Sentiment and Timing

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

Greed / Fear
Greed
Volatility
High Erratic
Cycle position
Overshoot

Sentiment assessments reflect consensus agreement that market positioning occupies a late-stage cyclical overshoot. Disagreement centers on cycle timing: whether contracted allocations delay into late 2027, or whether macro tightening accelerates customer digestion earlier.

Macro Regime Fit

Does the current market environment support the thesis? Macroeconomic conditions present an intensifying headwind. Central bank policy rates near 4% alongside elevated benchmark sovereign yields lift corporate discount rates and compress technology valuation multiples. Crucially, higher debt-financing costs squeeze hyperscaler balance sheets, directly throttling speculative cloud datacenter , although the company's pristine net cash structure completely insulates it from direct refinancing stress.

Advisor Disagreement

What do our AI Advisors disagree about most? The decisive debate centers on whether high-bandwidth memory fundamentally alters the semiconductor capital cycle or merely represents an extreme cyclical peak. Bullish perspectives argue that bespoke foundry co-design, customer , and locked-in take-or-pay agreements decouple from historical memory volatility. Contrarian and value analyses contend that commodity physics cannot be repealed: unprecedented are actively summoning massive industry capacity that will trigger severe price deflation by 2028. Resolving this tension requires monitoring sequential contract pricing in renewals and tracking competitor packaging yield breakthroughs across 2027.

Base-Case Forces

Event Risk ScoreVery High84/100

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
High-bandwidth memory packaging dominanceCompetitive Positioning+34%+44%Proprietary Advanced MR-MUF packaging delivers superior thermal dissipation and stacking yields, securing primary allocation across tier-one AI accelerator platforms. This defends premium contract pricing over commoditized memory, sustaining elevated and generating robust through the 2027 deployment cycle.
Accelerator memory intensity scalingSector And Industry+26%+33%Frontier multimodal reasoning architectures require exponential memory bandwidth expansion per socket, making memory density the primary computational throughput bottleneck. must allocate expanding portions of infrastructure directly to high-density DRAM and enterprise SSDs, structurally expanding volumes across the five-year forecast.
Custom logic base-die integrationInnovation And Product+22%+27%The architectural transition to integrates advanced foundry logic base dies directly with memory stacks. Deep co-engineering with pure-play foundries transforms standard DRAM into bespoke computing sub-assemblies, establishing high customer and partially shielding custom packaging lines from commodity spot-market price volatility.
Net cash liquidity and share retirementCapital Allocation+14%+8.0%Unprecedented operating cash generation has fortified the to over 69 trillion KRW in net cash. Management's 40-trillion-won share cancellation program permanently shrinks equity by over 3%, enhancing per-share metrics while self-funding domestic fab construction without external debt .

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
Cyclical memory supply normalizationSector And Industry-31%-40%Extraordinary profitability has unleashed massive global fabrication investments, with major cleanroom expansions slated to commercialize by 2028. As industry wafer output expands, acute memory deficits will transition into supply balance, compressing blended average selling prices and triggering negative across consolidated margins.
Rival packaging qualification and multi-sourcingCompetitive Positioning-24%-30%Samsung and Micron are deploying vast capital to close the packaging yield gap in advanced memory stacks. As secondary suppliers achieve qualification across premier accelerator platforms, cloud will actively enforce dual-sourcing procurement strategies, eroding pricing premiums and compressing corporate toward historical averages.
Mega-fab depreciation dragCapital Allocation-17%-21%Multi-billion-dollar commitments toward the Yongin semiconductor cluster and Cheongju facilities lock the company into severe multi-year . As new cleanrooms enter production, escalating fixed depreciation charges will elevate breakeven thresholds, penalizing if shipment volume growth moderates during downcycles.
Geopolitical equipment export control barriersRegulatory-14%-16%US technology containment measures and export curbs on advanced lithography tools restrict long-term upgrade capabilities at the Wuxi DRAM fabrication facility. Complying with bilateral trade rules, managing licensing contingencies, and duplicating manufacturing capacity domestically inflates structural operating expenditures while constraining addressable Asian market reach.

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
digestion shock34%-44%If enterprise software fails to deliver promised economic returns by late 2027, could abruptly slash server procurement budgets by 30% to 40%. Memory orders would rapidly convert into channel inventory gluts, collapsing contract prices and inflicting massive negative as mega-fab depreciation hits income statements.
Geopolitical fabrication tool interdiction24%-38%An abrupt escalation in trade friction leading to the revocation of export waivers or servicing permissions for Chinese manufacturing operations by 2027 would strand nearly 40% of corporate DRAM capacity. Substantial asset write-downs, relocation costs, and lost regional customer access would severely impair and equity capitalization.

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
Custom platform franchise lock-in32%+42%Should tier-one AI accelerator developers standardize proprietary custom base-die architectures integrated via advanced by 2028, the company could transition from a cyclical component vendor into an irreplaceable platform co-designer. Enforceable multi-year would decouple pricing from commodity DRAM cycles, preserving above 60% and driving structural multiple re-ratings.
Accelerated compute mandates26%+32%A coordinated wave of state-sponsored datacenter initiatives across Europe, Japan, and the Middle East between 2027 and 2029 could create an unmodeled second wave of non-commercial memory demand. State-backed infrastructure procurement would absorb newly commissioned fab capacity without discounting, sustaining generation above 35 trillion KRW annually.

Company Financial Analysis

SK Hynix 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 has demonstrated extraordinary revenue and earnings expansion, highlighted by fiscal 2025 revenue reaching 97.1 trillion KRW and operating income surging to 47.2 trillion KRW. This explosive performance accelerated into 2026, driven by insatiable demand and premium pricing for high-bandwidth memory used in artificial intelligence hardware. However, headline financial results conceal an important nuance: second-quarter 2026 net income was heavily boosted by non-operating investment gains, including revaluations linked to Kioxia holdings. While core chipmaking operations generated remarkable trailing free cash flow near $60 billion, investors must separate recurring operational cash flow from temporary accounting windfalls when evaluating long-term earnings power.

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
2025KRW 97.1TKRW 42.9TKRW 24.8T
2024KRW 66.2TKRW 19.8TKRW 13.1T
2023KRW 32.8TKRW -9.1TKRW -3.6T
2022KRW 44.6TKRW 2.2TKRW -5T
2021KRW 43TKRW 9.6TKRW 6.3T

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--TTMUnavailableKRW / KRW
2024--TTMUnavailableKRW / KRW
2023--TTMUnavailableKRW / KRW
2022--AnnualUnavailableKRW / KRW
2021--AnnualUnavailableKRW / KRW

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

Profitability has staged a dramatic recovery from the 2023 memory downturn, with gross margins widening past 60% and operating margins reaching an extraordinary 76% in mid-2026. This surge reflects near-monopolistic pricing leverage in specialized AI memory stacks combined with tight global supply across standard server memory. History demonstrates that profit margins above 50% are cyclical rather than permanent in the hardware industry. As competing manufacturers resolve packaging hurdles and overall industry production capacity expands over the next two years, average selling prices will soften, naturally pulling operating margins back toward a sustainable mid-cycle range of 30% to 35%. Modern memory demand remains structurally higher, but economic cycles will continue to govern profitability.

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
2025KRW 47.2T48.6%44.2%
2024KRW 23.5T35.5%29.9%
2023KRW -7.7T-23.6%-27.8%
2022KRW 6.8T15.3%5.0%
2021KRW 12.4T28.9%22.3%

Balance sheet and leverage

AI Review

The corporate balance sheet has been engineered into a financial fortress, with cash and short-term liquidity expanding to 88 trillion KRW against modest gross debt of 18.6 trillion KRW. This yields a net cash cushion of 69.4 trillion KRW, reducing the debt-to-equity ratio to a negligible 0.06 and virtually eliminating solvency risk. Nevertheless, headline net cash must be understood alongside substantial forward capital obligations. Multi-year commitments for fab tooling and a landmark 40-trillion-won share buyback represent direct claims on liquid reserves, ensuring cash will be absorbed by operations and shareholder returns rather than sitting as unencumbered excess capital.

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
2025KRW 7.3TKRW 35.1TKRW 7.3T net debt1.86x
2024KRW 11.5TKRW 14.2TKRW 11.5T net debt1.69x
2023KRW 21.9TKRW 9TKRW 21.9T net debt1.45x
2022KRW 18TKRW 6.4TKRW 18T net debt1.45x
2021KRW 12.6TKRW 8.7TKRW 12.6T net debt1.83x

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 has committed to an aggressive capital reinvestment strategy, deploying nearly 30% of revenue into capital expenditures. Spending is concentrated on advanced packaging facilities, next-generation cleanrooms in Cheongju, and the massive multi-year Yongin semiconductor cluster, supported by an approved 54-trillion-won long-term expansion blueprint. This heavy reinvestment is essential to defend the company's packaging lead and secure sub-nanometer DRAM manufacturing nodes against rivals. However, building mega-fabs creates immense fixed depreciation expenses that will load future income statements, meaning any future slowdown in chip demand will cause profits to contract more quickly during industry downcycles.

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
2025KRW 28.6TKRW 6.5T
2024KRW 16.7TKRW 4.4T
2023KRW 7.1TKRW 3.8T
2022KRW 19TKRW 4.5T
2021KRW 12.5TKRW 3.6T

Quarterly Forecast Scenarios

SK Hynix Averaged Consensus Scenarios

One row per forecast quarter. Asset scenario targets are shown in KRW; 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 SK Hynix, including USD/KRW currency conversion forecasts.
QuarterBear case (KRW)Base case (KRW)Bull case (KRW)S&P 500 benchmark (USD)FX (USD/KRW)
₩1,782,720₩1,919,342₩1,986,990$750.261,396
₩1,640,102₩1,932,461₩2,145,949$736.441,398
₩1,443,290₩1,880,828₩2,274,706$743.401,389
₩1,298,961₩1,773,435₩2,388,441$755.151,383
₩1,208,034₩1,673,998₩2,483,979$776.221,388
₩1,135,552₩1,538,668₩2,409,460$787.131,390
₩1,013,212₩1,450,671₩2,361,271$802.831,383
₩932,155₩1,405,791₩2,266,820$812.051,385
₩950,798₩1,418,768₩2,289,488$839.181,392
₩988,830₩1,471,005₩2,381,067$850.501,402
₩1,048,160₩1,544,684₩2,500,121$872.391,401
₩1,132,013₩1,618,902₩2,600,126$885.511,397
₩1,188,613₩1,700,522₩2,730,132$909.561,401
₩1,236,158₩1,779,982₩2,812,036$916.131,401
₩1,310,327₩1,852,118₩2,924,517$936.511,395
₩1,375,844₩1,913,480₩3,012,253$947.341,397
₩1,430,878₩1,977,151₩3,132,743$969.591,402
₩1,473,804₩2,017,290₩3,070,088$979.991,405
₩1,518,018₩2,077,104₩3,131,490$999.601,398
₩1,548,378₩2,122,551₩3,225,435$1,0121,400

Behind the synthesis

How each opinion shapes the consensus

14 opinions · 100% allocated

The independently supported common pattern across reports establishes that near-term financial performance remains peerless, driven by indisputable Advanced MR-MUF packaging leadership, sold-out high-bandwidth memory allocations through 2027, and pristine net cash liquidity. However, reports repeatedly converge on the reality that headline price-to-earnings multiples are heavily distorted by massive non-operating investment gains, while operating margins above 60% reflect temporary cyclical scarcity rather than permanent software-like moats. The strongest credible contrarian case emphasizes the inevitable capital-cycle response: tens of billions in planned industry fabrication spending from rivals and domestic mega-fab expansions will flood advanced wafer supply by 2028, colliding with hyperscaler capex digestion. Unsupported claims regarding immediate structural immunity or conversely catastrophic solvency collapse are discarded. High weights are allocated to analyses reconciling recurring manufacturing cash flow, capital expenditure commitments, and share retirement execution.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

GPT-6 Astra
Weight12.0/100

An exemplary, deeply grounded evaluation that explicitly reconciles native operating profit from non-operating Kioxia revaluations, incorporates approved share cancellations, and models staged capex commitments. Its balanced recognition of bottleneck durability versus 2028 supply-wave dilution provides the strongest through-cycle causal consistency.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Opus 5
Weight10.0/100

A highly nuanced evaluation combining market microstructure, 40-trillion-won share cancellations, and balance-sheet net cash buffers. It astutely diagnoses why trailing earnings multiples appear artificially depressed while identifying 2028 fab depreciation as the true catalyst for downcycle multiple normalization.

AI RESEARCHER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight8.0/100

This report provides high-quality causal analysis linking HBM4 Rubin allocations with subsequent 2028 cyclical supply digestion. Its recognition of mid-cycle multiple compression balances structural AI compute demand against capital reinvestment physics, although its cyclical trough projections slightly underestimate the cash cushion provided by fortress net cash reserves.

AI THINKER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight8.0/100

This analysis provides robust accounting scrutiny of trailing operating cash generation and models the margin dilution stemming from foundry base-die value capture in HBM4. It correctly identifies the timing of competitive supply floods, offering balanced through-cycle earnings normalization expectations.

AI RESEARCHER
Universal Investor AI advisor icon

Universal Investor AI

The Polymath

Gemini 3.8 Flash
Weight8.0/100

The submission thoroughly maps equipment backlogs and fab expansion milestones across Cheongju and Yongin. It accurately identifies the threat of fixed depreciation drag during cyclical digestion, presenting a realistic, evidence-backed assessment of mid-cycle valuation multiple compression.

AI RESEARCHER
Ray Dalio AI advisor icon

Ray Dalio AI

The Strategist

Gemini 3.8 Flash
Weight8.0/100

This framework offers exceptional macro-debt transmission modeling, explaining how restrictive central-bank rates curb hyperscaler financing capacity. Its capital-cycle mechanics are robust, though its downcycle price trajectory slightly underestimates the structural price floor established by large-scale share retirement programs.

AI THINKER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight7.0/100

The analysis offers sound scrutiny of owner earnings, correctly penalizing the capitalization of peak-cycle operating margins. It appropriately assesses balance-sheet de-leveraging while identifying ongoing maintenance capex burdens. However, it overstates the speed of competitive yield parity by Samsung and Micron across next-generation packaging nodes.

AI THINKER
Superintelligence AI advisor icon

Superintelligence AI

The Anthropologist

Gemini 3.8 Flash
Weight7.0/100

The thesis provides a compelling synthesis of peak valuation psychology and late-cycle operating leverage. While its identification of macro interest-rate headwinds is sound, its projected catastrophic margin collapse by 2028 discounts the earnings diversification delivered by high-capacity enterprise SSD storage growth.

AI RESEARCHER
Warren Buffett AI advisor icon

Warren Buffett AI

The Value Seeker

Gemini 3.8 Flash
Weight7.0/100

This evaluation cleanly separates transient scarcity margins from enduring packaging moats, demonstrating that current price-to-book ratios leave zero margin of safety. Its friction analysis is causally sound, though it moderately exaggerates consumer device price pushback relative to datacenter spending dominance.

AI RESEARCHER
Sherlock Holmes AI advisor icon

Sherlock Holmes AI

The Whistleblower

Gemini 3.8 Flash
Weight6.0/100

This report correctly isolates the distortive impact of non-operating investment marks in second-quarter net income. Nevertheless, its projection of operating margins collapsing to 28% by 2028 ignores contracted long-term purchase agreements and take-or-pay custom HBM architecture commitments that buffer against severe immediate commoditization.

AI RESEARCHER
Elon Musk AI advisor icon

Elon Musk AI

The Visionary

Gemini 3.8 Flash
Weight6.0/100

The report effectively articulates the physical limits of memory bandwidth in frontier models alongside inevitable cobweb-theorem capacity overshoots. Its aggressive multiple de-rating path is plausible, yet it underweights the multi-year customer entanglement resulting from TSMC foundry base-die co-engineering in HBM4 architectures.

AI RESEARCHER
J.P. Morgan AI advisor icon

J.P. Morgan AI

The Titan

Gemini 3.8 Flash
Weight6.0/100

This perspective presents a rigorous case for structural packaging exclusivity and conventional DRAM starvation. However, it assigns excessive weight to indefinite monopoly rents and minimal probability to customer dual-sourcing, underestimating industry wafer capacity additions arriving across the 2027 to 2028 horizon.

AI RESEARCHER
Michael Burry AI advisor icon

Michael Burry AI

The Vulture

Gemini 3.8 Flash
Weight4.0/100

This report provides sharp forensic insight into peak replacement valuations and unverified non-operating accounting gains. However, it overstates downside tail risk by assuming severe operating cash burn during the downturn, ignoring unprecedented net cash reserves and multi-year customer commitments.

AI RESEARCHER
Machiavelli AI advisor icon

Niccolo Machiavelli AI

The Insider

Gemini 3.8 Flash
Weight3.0/100

While providing unique perspective on chaebol governance friction and Wuxi VEU regulatory exposure, this report overemphasizes personal legal liabilities and downstream tunneling. It fails to adequately credit core technological packaging defensibility, resulting in a heavily skewed, downweighted risk profile.

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Research Provenance

References & Context

This SK Hynix 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 69 deduplicated sources retained for this batch.

  1. 01https://www.bis.gov/90fr-42321-revocation-validated-end-user-authorizations-peoples-republic-china?utm_source=openaibis.gov
  2. 02SK hynix Announces 2Q26 Financial Results – SK hynix Newsroomnews.skhynix.com
  3. 03SK Hynix's 2027 HBM4 Supply Is Already Spoken For — But the Share Price Is Still Fighting Its Ownad-hoc-news.de
  4. 04SK hynix Inc Earnings - Analysis & Highlights for Q2 2026alpha-sense.com
  5. 05SK Hynix 16-Layer HBM4: Where Micron, Samsung Stand - SK hynix (NASDAQ:SKHY) - Benzingabenzinga.com
  6. 06SK Hynix shares tank as exponential earnings growth fails to satisfy AI-charged expectationscnbc.com
  7. 07SK hynix Reaps Over 60 Trillion Won from Kioxia Investment as Cash Balloons Fivefold - Seoul Economic Dailyen.sedaily.com
  8. 08SK Hynix Goes Beyond 40 Trillion Won Buyback and Cancellation to Solve AI Bottleneck with 'Light' — BigGo Financefinance.biggo.com
  9. 09SK Hynix Launches ₩40 Trillion Buyback to Defend Stock — Largest in South Korean Corporate History — BigGo Financefinance.biggo.com
  10. 10SK Hynix's 40 Trillion Won Share Cancellation Reignites Solidigm IPO Controversy — BigGo Financefinance.biggo.com
  11. 11Memory chip supercycle 2026: what is driving the DRAM, HBM rally | IG Internationalig.com
  12. 12SK Hynix Inc Stock Price Today | KS: 000660 Live - Investing.cominvesting.com
  13. 13SK hynix Inc Stock Price Today | NASDAQ: SKHY Live - Investing.cominvesting.com
  14. 14SK Hynix Stock Nasdaq Debut: HBM, Nvidia & the Bull Caseleverageshares.com
  15. 15Samsung Ships Industry-First Commercial HBM4 With Ultimate Performance for AI Computing – Samsung Global Newsroomnews.samsung.com

And 54 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

Download Archived Snapshot

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

Download Archived Snapshot

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

8 fields

ebit · ebitda · grossProfit · interestExpense · +4 more fields

Balance sheet

11 fields

cash · commonStockSharesOutstanding · longTermDebt · netDebt · +7 more fields

Cash flow

5 fields

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

annual: 2014-12-31–2025-12-31, 12 periods; quarterly: 2023-09-30–2026-06-30, 12 periods

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

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