AI Consensus Investment Thesis
000660: SK Hynix Stock Price, Analysis & Forecast: 1 Year and 5 Year Targets
SK Hynix: 1-Year and 5-Year Forecast Outlook and Rating
SK Hynix (000660) has an immediate Strong Buy & Keep consensus AI recommendation, based on 14 AI analysts.
The 1-year target is ₩1,800,995 for , with +47.26% expected return (+47.39% including net dividends) and a STRONG BUY rating.
The 5-year target is ₩2,162,852 for , with +76.85% expected return (+77.68% including net dividends) and a BUY rating.
Latest available market price: KRW 1,223,000, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 0.1%. As of 2026-10-20.
Gross TTM: 0.12% · Two-year annualized gross: 0.1%.
Tax withholding assumption: 22% (KR). One-off special payments are excluded.
Original published assumption: 0.7% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
Targets retain their original publication dates. Returns use the dated market close and the time remaining to each fixed target date. Current ratings also require fresh quotes and analysis, with more than 90 days remaining. Past targets have no forward return. Eligibility checked .
SK Hynix 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.
How were the Investment Thesis and Forecasts created?
14 AI advisors, guided by 9 analytical frameworks, contribute to the deep analysis by iPulse AI Engine.
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)
Ran across these frontier AI models
Google Gemini 3.8 Flash
OpenAI GPT-6 Astra
Anthropic Claude Opus 5
Latest published deep-analysis batch. Audit published forecasts in full transparency
SK Hynix: forecast questions
What is SK Hynix (000660)'s 1-year price forecast?
SK Hynix's 1-year target is ₩1,800,995 for Sept 2027. The current AI rating is STRONG BUY. The expected return from the recorded close is +47.26%, or +47.39% modeled return including net dividends. Latest available market price: KRW 1,223,000, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is SK Hynix (000660)'s 5-year price forecast?
SK Hynix's 5-year target is ₩2,162,852 for Sept 2031. The current AI rating is BUY. The expected return from the recorded close is +76.85%, or +77.68% modeled return including net dividends. Latest available market price: KRW 1,223,000, as of 20 Oct 2026. The target date is fixed; this is not a new rolling forecast.
What is the return basis?
Latest available market price: KRW 1,223,000, as of 20 Oct 2026. These are model projections, not guaranteed future prices.
How can I compare the AI opinions and audit past SK Hynix forecasts?
14 AI analysts contribute to this publication. AI Opinions shows individual advisor forecasts and reasoning. Forecast History preserves earlier published batches; their figures describe their original publication, not today's outlook.
How does an AI-generated forecast for SK Hynix differ from Wall Street analyst consensus?
Wall Street consensus aggregates estimates from human analysts. For listed companies, these typically include brokerage price targets, earnings forecasts and ratings. iPulse AI's forecast for SK Hynix is a separate AI consensus generated through its own research workflow. Different inputs, forecast dates, assumptions and weighting can therefore produce different targets.
We believe the era of investment research conducted only by human analysts is drawing to a close. Frontier models increasingly match or exceed expert work on selected professional benchmarks, including evaluations covering financial analysis. Research on multi-model synthesis also shows that combining model responses can improve on a single model's output in the tasks studied.
iPulse AI generates transparent investment research and market forecasts using a swarm of AI configurations, analytical frameworks and frontier models. The workflow applies multiple verification, challenge and synthesis layers, with selective editorial review under Russlan Ramdowar, Editor-in-Chief. Published assumptions, disagreements and past forecasts remain available so readers can inspect the reasoning and audit outcomes.
For a research cycle covering 426 assets with 14 perspectives per asset, our internal workload model estimates approximately 114,000 hours of traditional analyst work. It assumes 16 hours per individual research report, 28 hours per consensus for synthesis and validation, plus shared data preparation. Parallel AI execution allows a deep-analysis cycle across hundreds of assets to complete in up to one day. The human-hours figure is an illustrative workload estimate, rather than measured time savings. Our research methodology explains the automated workflow.
SK Hynix: Investment Thesis Summary
Dotted terms link to the glossary; hover or focus for a preview. Browse technical terms
If you invest ₩10,000 in SK Hynix at the latest market close (20 Oct 2026): ₩17,768 by Sept 2031.
Returns use the same dated market close, fixed targets and remaining dividend period as the forecast table.
Benchmark comparison requires matching dated price and currency inputs.
* Return is calculated incl. 0.1% net dividend yield for SK Hynix.
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 HBM4 allocations on dominant accelerator platforms, generating record cash conversion and eliminating net debt. 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 hyperscaler capex digestion will enforce margin normalization toward historical mid-cycle averages.
Key insights
- Advanced packaging co-design with foundry logic creates substantial customer switching costs, 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 multiple compression.
SK Hynix: 5 Year Consensus Forecast
20 quarterly price targets, returns and rationale, with advisor range and benchmark
Forward returns are updated using the latest market close price of KRW 1,223,000, as of 20 Oct 2026.
Dividend calculation details
Calculated net annual dividend yield: 0.1%. As of 2026-10-20.
Gross TTM: 0.12% · Two-year annualized gross: 0.1%.
Tax withholding assumption: 22% (KR). One-off special payments are excluded.
Original published assumption: 0.7% per year.
Return estimates compound the net annual yield at a constant rate over the stated return horizon (the remaining time to the fixed target date for current returns): (1 + price return) × (1 + net annual yield)years − 1.
The consensus target follows an expert-weighted price path synthesized from 14 AI advisor opinions. See Opinion weights and rationale for the exact allocation and reasoning.
Forecast methodology and reference values
Published targets are anchored on 18 Sept 2026 at KRW 1,857,000. Original quarter-to-quarter target changes are retained. Forward returns use the remaining time to each fixed target date.
The pessimistic and optimistic advisor base cases are the lowest and highest published advisor base-case targets for each quarter. The advisor at either extreme can change between quarters. Benchmark values are in USD; FX values are exchange rates.
Scroll the table horizontally to read every column.
| Quarter | Evidence-Weighted Consensus Price Path | Individual Advisor Range & Reference Forecasts | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Consensus target (KRW) | Forecast quarter-to-quarter price change | Forward price return | Forward return incl. net dividends | Forecast rationale | Pessimistic Advisor Base Case (KRW) | Optimistic Advisor Base Case (KRW) | S&P 500 benchmark (USD) | FX (USD/KRW) | |
| ₩1,926,452 | +3.74% | +57.52% | +57.54% | 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. | ₩1,782,720 | ₩1,986,990 | $750 | 1,396 | |
| ₩1,954,771 | +1.47% | +59.83% | +59.90% | 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. | ₩1,640,102 | ₩2,145,949 | $736 | 1,398 | |
| ₩1,913,916 | -2.09% | +56.49% | +56.59% | 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. | ₩1,443,290 | ₩2,274,706 | $743 | 1,389 | |
| ₩1,800,995 | -5.90% | +47.26% | +47.39% | 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. | ₩1,298,961 | ₩2,388,441 | $755 | 1,383 | |
| ₩1,700,319 | -5.59% | +39.03% | +39.18% | 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. | ₩1,208,034 | ₩2,483,979 | $776 | 1,388 | |
| ₩1,561,573 | -8.16% | +27.68% | +27.86% | 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. | ₩1,135,552 | ₩2,409,460 | $787 | 1,390 | |
| ₩1,471,002 | -5.80% | +20.28% | +20.47% | 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. | ₩1,013,212 | ₩2,361,271 | $803 | 1,383 | |
| ₩1,425,548 | -3.09% | +16.56% | +16.78% | 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. | ₩932,155 | ₩2,266,820 | $812 | 1,385 | |
| ₩1,435,099 | +0.67% | +17.34% | +17.59% | 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. | ₩950,798 | ₩2,289,488 | $839 | 1,392 | |
| ₩1,485,471 | +3.51% | +21.46% | +21.74% | 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. | ₩988,830 | ₩2,381,067 | $851 | 1,402 | |
| ₩1,559,448 | +4.98% | +27.51% | +27.83% | 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. | ₩1,048,160 | ₩2,500,121 | $872 | 1,401 | |
| ₩1,635,705 | +4.89% | +33.75% | +34.12% | 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. | ₩1,132,013 | ₩2,600,126 | $886 | 1,397 | |
| ₩1,719,943 | +5.15% | +40.63% | +41.06% | 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. | ₩1,188,613 | ₩2,730,132 | $910 | 1,401 | |
| ₩1,804,049 | +4.89% | +47.51% | +47.99% | 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. | ₩1,236,158 | ₩2,812,036 | $916 | 1,401 | |
| ₩1,877,113 | +4.05% | +53.48% | +54.02% | 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. | ₩1,310,327 | ₩2,924,517 | $937 | 1,395 | |
| ₩1,942,624 | +3.49% | +58.84% | +59.44% | 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. | ₩1,375,844 | ₩3,012,253 | $947 | 1,397 | |
| ₩2,010,227 | +3.48% | +64.37% | +65.02% | 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. | ₩1,430,878 | ₩3,132,743 | $970 | 1,402 | |
| ₩2,055,658 | +2.26% | +68.08% | +68.79% | 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. | ₩1,473,804 | ₩3,070,088 | $980 | 1,405 | |
| ₩2,117,122 | +2.99% | +73.11% | +73.88% | 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. | ₩1,518,018 | ₩3,131,490 | $1,000 | 1,398 | |
| ₩2,162,852 | +2.16% | +76.85% | +77.68% | 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. | ₩1,548,378 | ₩3,225,435 | $1,012 | 1,400 | |
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SK Hynix Stock Analysis & Scenarios Deep Dive
SK Hynix: Alpha Gap & Repricing Catalysts
Market Narrative
What does the market currently expect? The outside consensus treats the company as an unassailable artificial intelligence tollbooth, extrapolating peak 50% operating margins into a permanent structural annuity. Sell-side models anchor on sold-out HBM 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 mean reversion of peak-cycle profitability, mispricing temporary scarcity rents as a permanent structural monopoly. 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 hyperscaler capex digestion will compress operating margins 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 HBM4 stacks forces the first sequential deceleration in blended average selling prices. Hyperscaler capex moderation will puncture peak-earnings complacency, prompting downward revisions in consensus earnings models and re-anchoring valuation to normalized mid-cycle cash flows.
SK Hynix: Sentiment and Timing
What do sentiment, volatility, and the market-recognition cycle suggest about the thesis timing?
- Greed and Fear Sentiment
- Greed
- Volatility Regime
- High Erratic
- Convergence Cycle Position
- Overshoot
Sentiment assessments reflect consensus agreement that market positioning occupies a late-stage cyclical overshoot. Disagreement centers on cycle timing: whether contracted HBM4 allocations delay margin compression into late 2027, or whether macro tightening accelerates customer capex 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 capital expenditures, 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 switching costs, and locked-in take-or-pay agreements decouple HBM from historical memory volatility. Contrarian and value analyses contend that commodity physics cannot be repealed: unprecedented operating margins are actively summoning massive industry capacity that will trigger severe price deflation by 2028. Resolving this tension requires monitoring sequential contract pricing in HBM renewals and tracking competitor packaging yield breakthroughs across 2027.
SK Hynix: Critical Influencing Factors
Near-certain positive forcesTop 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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| Driver / Tailwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| High-bandwidth memory packaging dominance | Competitive 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 structural moat defends premium contract pricing over commoditized memory, sustaining elevated operating margins and generating robust free cash flow through the 2027 deployment cycle. |
| Accelerator memory intensity scaling | Sector And Industry | +26% | +33% | Frontier multimodal reasoning architectures require exponential memory bandwidth expansion per socket, making memory density the primary computational throughput bottleneck. Hyperscalers must allocate expanding portions of infrastructure capex directly to high-density DRAM and enterprise SSDs, structurally expanding total addressable market volumes across the five-year forecast. |
| Custom logic base-die integration | Innovation And Product | +22% | +27% | The architectural transition to HBM4 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 switching costs and partially shielding custom packaging lines from commodity spot-market price volatility. |
| Net cash liquidity and share retirement | Capital Allocation | +14% | +8.0% | Unprecedented operating cash generation has fortified the balance sheet to over 69 trillion KRW in net cash. Management's 40-trillion-won share cancellation program permanently shrinks equity float by over 3%, enhancing per-share metrics while self-funding domestic fab construction without external debt dilution. |
Near-certain negative forcesTop 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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| Friction / Headwind | Category | Est. stock-price impact | Est. earnings impact | Why it matters |
|---|---|---|---|---|
| Cyclical memory supply normalization | Sector 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 operating leverage across consolidated margins. |
| Rival packaging qualification and multi-sourcing | Competitive 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 hyperscalers will actively enforce dual-sourcing procurement strategies, eroding pricing premiums and compressing corporate gross margins toward historical averages. |
| Mega-fab capital expenditure depreciation drag | Capital Allocation | -17% | -21% | Multi-billion-dollar commitments toward the Yongin semiconductor cluster and Cheongju facilities lock the company into severe multi-year capital intensity. As new cleanrooms enter production, escalating fixed depreciation charges will elevate breakeven thresholds, penalizing return on invested capital if shipment volume growth moderates during downcycles. |
| Geopolitical equipment export control barriers | Regulatory | -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. |
SK Hynix: What Could Break or Accelerate the Thesis
Event Risk Score: Very High 84/100Asset-level relative pressure from clustered consensus frictions and tail risks. This is not the probability or risk score of an individual force.Plausible downside scenariosTail Risks
Tail yet plausible downside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Hyperscaler capex digestion shock | 34% | -44% | If enterprise generative AI software fails to deliver promised economic returns by late 2027, hyperscalers 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 operating leverage as mega-fab depreciation hits income statements. |
| Geopolitical fabrication tool interdiction | 24% | -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, supply chain relocation costs, and lost regional customer access would severely impair book value and equity capitalization. |
Plausible upside scenariosTail Opportunities
Tail yet plausible upside scenarios selected for their highest potential impact.
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| Tail scenario | Chance of Occurring | Stock Price Impact | Why plausible / what changes |
|---|---|---|---|
| Custom HBM platform franchise lock-in | 32% | +42% | Should tier-one AI accelerator developers standardize proprietary custom base-die architectures integrated via advanced hybrid bonding by 2028, the company could transition from a cyclical component vendor into an irreplaceable platform co-designer. Enforceable multi-year take-or-pay contracts would decouple pricing from commodity DRAM cycles, preserving gross margins above 60% and driving structural multiple re-ratings. |
| Accelerated sovereign AI compute mandates | 26% | +32% | A coordinated wave of state-sponsored sovereign AI 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 free cash flow generation above 35 trillion KRW annually. |
Company Financial AnalysisSK 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. View latest SK Hynix financials here.
Earnings and financials
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.
| Fiscal year | Revenue | Net income | Free cash flow |
|---|---|---|---|
| 2025 | KRW 97.1T | KRW 42.9T | KRW 24.8T |
| 2024 | KRW 66.2T | KRW 19.8T | KRW 13.1T |
| 2023 | KRW 32.8T | KRW -9.1T | KRW -3.6T |
| 2022 | KRW 44.6T | KRW 2.2T | KRW -5T |
| 2021 | KRW 43T | KRW 9.6T | KRW 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.
| Fiscal year | P/E | Earnings basis | Currency basis | Ticker / reporting |
|---|---|---|---|---|
| 2025 | -- | TTM | Unavailable | KRW / KRW |
| 2024 | -- | TTM | Unavailable | KRW / KRW |
| 2023 | -- | TTM | Unavailable | KRW / KRW |
| 2022 | -- | Annual | Unavailable | KRW / KRW |
| 2021 | -- | Annual | Unavailable | KRW / 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
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.
| Fiscal year | Operating income | Operating margin | Net margin |
|---|---|---|---|
| 2025 | KRW 47.2T | 48.6% | 44.2% |
| 2024 | KRW 23.5T | 35.5% | 29.9% |
| 2023 | KRW -7.7T | -23.6% | -27.8% |
| 2022 | KRW 6.8T | 15.3% | 5.0% |
| 2021 | KRW 12.4T | 28.9% | 22.3% |
Balance sheet and leverage
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.
| Fiscal year | Total debt | Cash + short-term investments | Reported net cash / (debt) | Debt less (cash + short-term investments), calculated | Current ratio |
|---|---|---|---|---|---|
| 2025 | KRW 7.3T | KRW 35.1T | KRW 7.3T net debt | KRW -27.8T | 1.86x |
| 2024 | KRW 11.5T | KRW 14.2T | KRW 11.5T net debt | KRW -2.7T | 1.69x |
| 2023 | KRW 21.9T | KRW 9T | KRW 21.9T net debt | KRW 12.9T | 1.45x |
| 2022 | KRW 18T | KRW 6.4T | KRW 18T net debt | KRW 11.6T | 1.45x |
| 2021 | KRW 12.6T | KRW 8.7T | KRW 12.6T net debt | KRW 3.9T | 1.83x |
Reported net debt retains the source definition, which can deduct cash alone. Cash plus short-term investments is broader liquidity; the separately calculated column subtracts that full amount from total debt for the same fiscal period and currency. Reported net debt below zero is displayed as net cash. Current ratio is current assets divided by current liabilities.
Capex and investment intensity
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.
| Fiscal year | Capital expenditure | R&D spend |
|---|---|---|
| 2025 | KRW 28.6T | KRW 6.5T |
| 2024 | KRW 16.7T | KRW 4.4T |
| 2023 | KRW 7.1T | KRW 3.8T |
| 2022 | KRW 19T | KRW 4.5T |
| 2021 | KRW 12.5T | KRW 3.6T |
Behind the synthesisSK Hynix: How Each Individual AI Forecaster Opinion Shapes the Global Consensus
This publication’s recorded synthesis allocated voting influence across 14 advisor opinions. The weights and rationales below are retained from that synthesis.
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.
All 14 opinions
Universal Investor AI
The Polymath
OpenAI GPT-6 Astra · 2026-09-03 releaseWeight: 12.0%
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.
Universal Investor AI
The Polymath
Anthropic Claude Opus 5 · 2026-07-24 releaseWeight: 10.0%
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.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 8.0%
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.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 8.0%
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.
Universal Investor AI
The Polymath
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 8.0%
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.
Ray Dalio AI
The Strategist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 8.0%
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.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.0%
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.
Superintelligence AI
The Anthropologist
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.0%
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.
Warren Buffett AI
The Value Seeker
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 7.0%
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.
Sherlock Holmes AI
The Whistleblower
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.0%
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.
Elon Musk AI
The Visionary
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.0%
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.
J.P. Morgan AI
The Titan
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 6.0%
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.
Michael Burry AI
The Vulture
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 4.0%
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.
Niccolo Machiavelli AI
The Insider
Google Gemini 3.8 Flash · 2026-09-02 releaseWeight: 3.0%
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.
References & Context
Research Provenance
Analysis generated by iPulse AI Engine v7 using recorded market data, operating under the editorial standards and supervision of Russlan Ramdowar, Editor-in-Chief.
External references below are sources recorded by the researcher agents for this SK Hynix 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 web35 available sources from this batch (69 recorded). The first 15 are shown below; expand to read the rest.
- https://www.bis.gov/90fr-42321-revocation-validated-end-user-authorizations-peoples-republic-china?utm_source=openai bis.gov
- SK hynix Announces 2Q26 Financial Results – SK hynix Newsroom news.skhynix.com
- SK Hynix's 2027 HBM4 Supply Is Already Spoken For — But the Share Price Is Still Fighting Its Own ad-hoc-news.de
- SK hynix Inc Earnings - Analysis & Highlights for Q2 2026 alpha-sense.com
- SK Hynix 16-Layer HBM4: Where Micron, Samsung Stand - SK hynix (NASDAQ:SKHY) - Benzinga benzinga.com
- SK Hynix shares tank as exponential earnings growth fails to satisfy AI-charged expectations cnbc.com
- SK hynix Reaps Over 60 Trillion Won from Kioxia Investment as Cash Balloons Fivefold - Seoul Economic Daily en.sedaily.com
- SK Hynix Goes Beyond 40 Trillion Won Buyback and Cancellation to Solve AI Bottleneck with 'Light' — BigGo Finance finance.biggo.com
- SK Hynix Launches ₩40 Trillion Buyback to Defend Stock — Largest in South Korean Corporate History — BigGo Finance finance.biggo.com
- SK Hynix's 40 Trillion Won Share Cancellation Reignites Solidigm IPO Controversy — BigGo Finance finance.biggo.com
- Memory chip supercycle 2026: what is driving the DRAM, HBM rally | IG International ig.com
- SK Hynix Inc Stock Price Today | KS: 000660 Live - Investing.com investing.com
- SK hynix Inc Stock Price Today | NASDAQ: SKHY Live - Investing.com investing.com
- SK Hynix Stock Nasdaq Debut: HBM, Nvidia & the Bull Case leverageshares.com
- Samsung Ships Industry-First Commercial HBM4 With Ultimate Performance for AI Computing – Samsung Global Newsroom news.samsung.com
Show 20 more sources
- Explainer: SK hynix’s Mid-to-Long-Term Investment Strategy – SK hynix Newsroom news.skhynix.com
- New Facility Investment for Yongin Semiconductor Cluster – SK hynix Newsroom news.skhynix.com
- SK hynix Accelerates 40 Trillion won Share Repurchase and Cancellation Program, Pursues Shareholder Return Expansion to ‘Over 50% of FCF’ – SK hynix Newsroom news.skhynix.com
- SK hynix Announces 2Q26 Financial Results – SK hynix Newsroom news.skhynix.com
- SK hynix Announces FY25 Financial Results – SK hynix Newsroom news.skhynix.com
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17 to Secure Mid-to-Long-Term Production Base for AI Memory Demand – SK hynix Newsroom news.skhynix.com
- SK hynix Invests 54 Trillion Won in Yongin Y2 and Cheongju M17 to Secure Mid-to-Long-Term Production Base for AI Memory Demand – SK hynix Newsroom news.skhynix.com
- SK hynix Ships Samples of 12-Layer Next-Gen ‘HBM4E’ – SK hynix Newsroom news.skhynix.com
- 2026 Memory Chip Outlook: How AI Ignited an Unprecedented Super Cycle | pneda.com
- SK hynix Accelerates 40 Trillion won Share Repurchase and Cancellation Program, Pursues Shareholder Return Expansion to 'Over 50% of FCF' prnewswire.com
- SK hynix Announces 2Q26 Financial Results prnewswire.com
- a memory down cycle is coming but semiconsam.substack.com
- HBM4 Market Share 2026: Samsung vs SK Hynix vs Micron siliconanalysts.com
- SK Hynix vs Samsung: HBM4 and the 2026 Capex Race siliconanalysts.com
- SK하이닉스, 2026년 2분기 경영실적 발표 < 스토리 (상세) < Company < SK hynix Talent Hub talent.skhynix.com
- SK hynix Announces 2Q26 Financial Results | TechPowerUp techpowerup.com
- SK hynix Announces KRW 40 Trillion Share Buyback for Cancellation - The Globe and Mail theglobeandmail.com
- SK hynix Unveils Won 40 Trillion Buyback in Aggressive Shareholder Return Plan - The Globe and Mail theglobeandmail.com
- SK Hynix Q2 Earnings Preview: Profit May Hit Record High as AI Memory Supercycle Faces Key Validation tradingkey.com
- DRAM Cycle Mid-2026 Update: Pricing, Inventory & Peak Timing useluminix.com
34 additional sources are recorded in this batch; their citation details are not available in this publication.
Context retained with this Consensus
The same public-safe market, global-event, and fundamental context supplied to the AI Advisor panel.
Global context snapshot
2025 Full-Year Global Market and World-Events Context
Download Archived SnapshotCoverage 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.
Archived context covering 2025-01-01 to 2025-12-31. Its recorded scope includes technology and capital cycle; trade and industrial policy; monetary policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 90.8K bytes
- Words
- 13.3K words
- Characters
- 90.8K characters
- Est. tokens (characters ÷ 4)
- 22.7K tokens
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.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| DeepSeek shock and AI economics reset | 2025-01-27 | OPEN ENDED TREND |
| US tariff regime escalation and trade-system rupture | 2025-02-01 | ACTIVE POLICY REGIME |
| Federal Reserve easing cycle after a prolonged hold | 2025-09-17 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
2026 Year-to-Date Global Market and World-Events Context Through September 20
Download Archived SnapshotCoverage 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.
Archived context covering 2026-01-01 to 2026-09-20. Its recorded scope includes monetary policy and rates; geopolitics energy and shipping; trade and industrial policy. Selected highlights reflect the analysis cutoff, not current world conditions.
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- File size
- 84.8K bytes
- Words
- 12.4K words
- Characters
- 84.8K characters
- Est. tokens (characters ÷ 4)
- 21.2K tokens
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.
| Selected highlights from this archived snapshot | Date | Status |
|---|---|---|
| Renewed monetary tightening amid persistent inflation | 2026-01-30 | ACTIVE POLICY REGIME |
| Iran/Hormuz conflict and wider energy-security disruption | 2026-02-28 | ONGOING |
| Tariff legal reset and strategic supply restrictions | 2026-02-20 | ACTIVE POLICY REGIME |
Representative Sources of the Context File
And more sources from the retained context package.
Fundamental Context Passed as Input to the Models
Time range: Annual fiscal periods: 2014-12-31–2025-12-31, 12 periods; Quarterly fiscal periods: 2023-09-30–2026-06-30, 12 periods.
Currencies cited: KRW, USD (quote KRW; primary reporting KRW; converted/valuation USD).
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Income statement
8 fieldsebit · ebitda · grossProfit · interestExpense · +4 more fields
Balance sheet
11 fieldscash · commonStockSharesOutstanding · longTermDebt · netDebt · +7 more fields
Cash flow
5 fieldscapitalExpenditures · dividendsPaid · freeCashFlow · salePurchaseOfStock · +1 more field
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