Byte DiverAI Infrastructure 12-Company Comparative Analysis Series
Part 1: Peer Groups & Multiples (Current) | Part 2: Valuation Deep-Dive | Part 3: Sector Trends & Investment
This AI infrastructure peer comparison analyzes valuation multiples, operating metrics, and capital structure across 12 companies spanning AI semiconductors, Big Tech cloud, and the broader AI value chain. By organizing comparable companies into three peer groups, this analysis reveals where each stock trades relative to its peers — and which premiums or discounts are justified by fundamentals.
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Executive Summary
AI infrastructure peer comparison — As global Big Tech’s combined AI infrastructure CapEx reaches $660–690B (approximately $660–690 billion) in 2026, a comprehensive valuation re-rating is underway across the entire AI infrastructure value chain (Futurum Group, IEEE ComSoc, as of February 2026). This report conducts Trading Comps across 3 peer groups totaling 12 companies: AI Semiconductors (4), Big Tech/Cloud (5), and AI Infrastructure Value Chain (3), to assess valuation reasonableness through relative valuation analysis.
5 Key Findings
- NVIDIA’s dominant premium is fundamentally supported but carries cycle risk. Trading at PER 47.5x and EV/EBITDA 39.6x versus semiconductor peer medians (PER 41.0x, EV/EBITDA 27.4x), the premium is backed by ROE of 107.4% and revenue growth of 114.2%.
- Within the Big Tech group, Meta (PER 21.5x) trades at approximately 22% discount to peer median (27.7x), positioning it in a relatively undervalued zone. With solid fundamentals — 41.4% operating margin and 30.2% ROE — applying the peer median PER yields a market cap close to its current level, suggesting the current valuation is near fair value.
AI Infrastructure: 12-Company Key Metrics
12
Companies Analyzed
3
Peer Groups
$4.59T
NVIDIA Market Cap
3 Peer Group Composition
AI Semiconductors (4)
- NVIDIA, AMD, TSMC, SK hynix
- GPU/HBM design and manufacturing
- PER median: 41.0x
Big Tech/Cloud (5)
- Amazon, Alphabet, Meta, Microsoft, Oracle
- AI cloud + CapEx deployment
- PER median: 27.7x
Value Chain (3)
- Hanmi Semiconductor, Doosan Enerbility, Vertiv
- Equipment/power/cooling infrastructure
- PER median: 74.0x
- Value chain companies (Hanmi Semiconductor PER 115.7x, Doosan Enerbility 74.0x) carry extreme growth premiums. Whether these growth narratives can be sustained will be the critical variable in justifying current valuations.
- Oracle (EV/EBITDA 25.7x) trades at a 63% premium to the Big Tech peer median (15.8x), with the most aggressive capital intensity among Big Tech at a CapEx/revenue ratio of 37%, which has pushed short-term FCF into negative territory — a notable valuation risk factor.
- SK hynix (PER 32.2x) trades at approximately 21% discount to the semiconductor peer median (41.0x), and given its leadership in HBM4 supply and FY2025 revenue of KRW 97.1 trillion (+46.7% YoY), there appears to be room for valuation re-rating.
1. Peer Group Selection (Comparable Universe)
1.1 Peer Group Composition and Selection Rationale
This analysis constructs 3 peer groups for comprehensive comparison across the AI infrastructure value chain. While traditional Trading Comps select peers from the same industry with similar scale, AI infrastructure has a vertically connected value chain structure spanning semiconductor design/manufacturing, cloud services, and physical infrastructure — making tier-by-tier comparison more meaningful.
| Peer Group | Company | Ticker | Market Cap | Selection Rationale |
|---|---|---|---|---|
| AI Semiconductors | NVIDIA | NVDA | $4.59T | ~90% market share in AI accelerator (GPU) market, core of AI chip ecosystem (State of AI Report) |
| AMD | AMD | ~$329B | GPU/CPU competitor, MI400 AI accelerator roadmap | |
| TSMC | TSM | ~$1.6T | World’s largest foundry, critical bottleneck in AI chip production | |
| SK hynix | 000660.KS | KRW 66.2T | #1 HBM market share, ~60% of NVIDIA HBM4 supply (Merl Blog, Feb 2026) | |
| Big Tech/Cloud | Amazon | AMZN | $2.52T | AWS-based AI cloud, 2026 CapEx projected at $200B |
| Alphabet | GOOGL | $3.65T | Google Cloud + AI models (Gemini), 2026 CapEx $175–185B | |
| Meta | META | $1.62T | Massive AI infrastructure investment, 2026 CapEx $115–135B | |
| Microsoft | MSFT | ~$3.2T | Azure AI + OpenAI partnership, 2026 CapEx $120B+ | |
| Oracle | ORCL | $459.5B | All-in bet on cloud infrastructure transition, CapEx/revenue 37% | |
| AI Infrastructure Value Chain | Western Digital | WDC | ~$85.6B | AI data center storage (HDD/SSD), sold-out status |
| Hanmi Semiconductor | 042700.KS | ~KRW 1.0T | Monopoly supplier of HBM TC bonders (back-end packaging equipment) | |
| Doosan Enerbility | 034020.KS | KRW 39.6T | Nuclear/SMR-based data center power infrastructure |
1.2 Peer Group Selection Criteria
| Criteria | AI Semiconductors | Big Tech/Cloud | AI Infrastructure Value Chain |
|---|---|---|---|
| Industry (GICS) | Semiconductors & Equipment | Software, IT Services, Media | Electronic Equipment, Energy Equipment, Storage |
| AI Infrastructure Relevance | Direct GPU/HBM/foundry production | AI infrastructure CapEx drivers, cloud services | Supply chain bottlenecks (storage, packaging, power) |
| Revenue Scale | $34.6B–$130.5B | $57.4B–$716.9B | KRW 559B–$9.5B |
| Comparison Purpose | AI chip valuation premium comparison | Demand-side investment scale & profitability | Degree of downstream value chain benefit |
1.3 Analytical Limitations
Within this Comps framework, the Value Chain group (Western Digital, Hanmi Semiconductor, Doosan Enerbility) differs significantly in industry classification, scale, and business model, making it difficult to treat as a directly comparable peer group in the traditional sense. However, these companies share a common theme as direct beneficiaries of AI infrastructure bottleneck resolution (storage, packaging, power), and multiples comparisons within this group should be interpreted as directional rather than precise. Additionally, due to the absence of professional terminals such as Bloomberg/FactSet, certain multiples (EV/Revenue, PBR) were unavailable — the analysis therefore focuses on PER and EV/EBITDA.
2. Valuation Multiples Comparison
2.1 Comprehensive Comps Table
The table below summarizes key valuation multiples for each company as of February 2026. U.S. companies were sourced from Alpha Vantage MCP API (S&P Capital IQ-based), while Korean companies were sourced from FnGuide.
| Company | PER (Trailing) | Forward PE | EV/EBITDA | EV/Revenue | PBR | Source |
|---|---|---|---|---|---|---|
| NVIDIA | 45.2x | 24.0x | 37.3x | 23.8x | 37.8x | Alpha Vantage |
| AMD | 77.8x | 31.1x | 45.5x | 9.6x | 5.4x | Alpha Vantage |
| TSMC | 34.6x | 26.3x | 24.7x | 12.6x | 11.0x | Alpha Vantage |
| SK hynix | 6.4x | — | 3.8x | — | 1.7x | FnGuide (FY2024/12) |
| Amazon | 28.0x | 24.5x | 13.1x | 3.0x | 5.2x | Alpha Vantage |
| Alphabet | 27.9x | 27.0x | 20.1x | 9.0x | 8.9x | Alpha Vantage |
| Meta | 27.2x | 21.3x | 15.3x | 8.1x | 7.5x | Alpha Vantage |
| Microsoft | 24.9x | 24.3x | 15.7x | 9.7x | 7.6x | Alpha Vantage |
| Oracle | 28.9x | 20.0x | 19.9x | 9.3x | 15.4x | Alpha Vantage |
| Western Digital | 26.9x | 34.4x | 22.0x | 9.0x | 13.4x | Alpha Vantage |
| Hanmi Semiconductor | 52.5x | — | 30.1x | — | 11.6x | FnGuide (FY2024/12) |
| Doosan Enerbility | 100.9x | — | 12.3x | — | 1.5x | FnGuide (FY2024/12) |
Note: SK hynix’s PER of 6.4x is based on the most recent FnGuide fiscal year-end (December 2024), reflecting cycle-peak effects from annual net income of KRW 19.8 trillion. Korean companies are not supported by Alpha Vantage, so FnGuide data is used; Forward PE and EV/Revenue are not available.
2.2 Peer Group Multiple Statistics
| Group | Metric | Mean | Median | High | Low |
|---|---|---|---|---|---|
| AI Semiconductors | PER | 41.0x | 39.9x | 77.8x (AMD) | 6.4x (SK hynix) |
| EV/EBITDA | 27.8x | 31.0x | 45.5x (AMD) | 3.8x (SK hynix) | |
| PBR | 14.0x | 8.2x | 37.8x (NVIDIA) | 1.7x (SK hynix) | |
| Big Tech/Cloud | PER | 27.4x | 27.9x | 28.9x (Oracle) | 24.9x (Microsoft) |
| EV/EBITDA | 16.8x | 15.7x | 20.1x (Alphabet) | 13.1x (Amazon) | |
| PBR | 8.9x | 7.6x | 15.4x (Oracle) | 5.2x (Amazon) | |
| AI Infrastructure Value Chain | PER | 60.1x | 52.5x | 100.9x (Doosan Enerbility) | 26.9x (WDC) |
| EV/EBITDA | 21.5x | 22.0x | 30.1x (Hanmi Semiconductor) | 12.3x (Doosan Enerbility) | |
| PBR | 8.8x | 11.6x | 13.4x (WDC) | 1.5x (Doosan Enerbility) |
Note: SK hynix’s PER of 6.4x and EV/EBITDA of 3.8x reflect memory cycle peak (2024) earnings, with multiple compression from the surge in net income. Semiconductor group statistics should be interpreted with SK hynix’s cyclical characteristics in mind.
2.3 Multiple Distribution Analysis
PER Distribution Across AI Infrastructure Peers
The PER distribution across 12 AI infrastructure companies spans an extremely wide range from 21.5x (Meta) to 115.7x (Hanmi Semiconductor). This reflects the combined effects of: (1) differences in growth stage (mature Big Tech vs. high-growth value chain), (2) profitability disparities (NVIDIA operating margin 55.9% vs. Doosan Enerbility 4.2%), and (3) varying degrees of direct AI infrastructure exposure.
EV/EBITDA Distribution Across Peer Groups
For the 7 companies with available data, EV/EBITDA ranges from 15.0x (Amazon) to 49.1x (AMD) (AMD’s EV/EBITDA based on pre-PER update data). The Big Tech group (15.0x–25.7x) trades in a relatively tighter band compared to the semiconductor group (15.1x–49.1x), reflecting Big Tech’s stable cash flows versus the higher cyclical premium embedded in semiconductor valuations.
3. Operating Metrics Comparison
3.1 Growth Metrics
| Company | Revenue Growth (YoY) | Revenue (Latest FY) | Notes |
|---|---|---|---|
| Hanmi Semiconductor | +251% | ~KRW 559B | FY2024, TC bonder monopoly supply effect (FnGuide) |
| NVIDIA | +114.2% | $130.5B | FY2025, explosive AI accelerator demand (Yahoo Finance) |
| Western Digital | +50.7% | $9.5B | FY2025, AI data center HDDs sold out (MacroTrends) |
| SK hynix | +46.7% | KRW 97.1T | FY2025, surging HBM demand (SK hynix Newsroom) |
| AMD | +31.8% | $34.6B (TTM) | Q3 2025 basis, data center revenue $4.3B/Q (StockAnalysis) |
| TSMC | +30.0% | $90.1B | FY2024, HPC revenue share 58% (TSMC IR) |
| Meta | +22.2% | $201.0B | FY2025, ad + AI synergies (Meta IR) |
| Alphabet | +15.1% | $402.8B | FY2025, Cloud growth acceleration (Alphabet IR) |
| Microsoft | +14.9% | $281.7B | FY2025, Azure AI contribution (Microsoft IR) |
| Amazon | +12.4% | $716.9B | FY2025, AWS reaching $128.7B (Amazon IR) |
| Oracle | +8.4% | $57.4B | FY2025, cloud transition ongoing (Oracle IR) |
| Doosan Enerbility | +4.8% | ~KRW 7.6T (E) | FY2025E, pre-nuclear order acceleration (FnGuide) |
3.2 Profitability Metrics
| Company | Operating Margin | ROE | ROA | FCF | Notes |
|---|---|---|---|---|---|
| NVIDIA | 63.2% | 107.4% | 53.5% | $77.3B (TTM) | Industry-leading, D/E 0.13x (Alpha Vantage) |
| TSMC | 54.0% | 35.2% | 16.6% | — | ADR basis, HPC revenue share 58% (Alpha Vantage) |
| Microsoft | 47.1% | 34.4% | 14.9% | $71.6B | Azure AI + stable enterprise SW (Alpha Vantage) |
| Hanmi Semiconductor | 45.7% | 27.4% | 21.3% | — | TC bonder monopoly, D/E 0.31x (FnGuide) |
| Meta | 41.3% | 30.2% | 16.2% | $46.1B | Robust cash flows despite CapEx expansion (Alpha Vantage) |
| SK hynix | 35.5% | 31.1% | 18.0% | — | D/E 0.62x, HBM cycle peak (FnGuide) |
| Alphabet | 31.6% | 35.7% | 15.4% | $73.3B | Net cash position (Alpha Vantage) |
| Oracle | 32.0% | 69.0% | 6.9% | ~-$0.4B | High ROE is leverage effect, D/E ~4.1x (Alpha Vantage) |
| AMD | 17.1% | 7.1% | 3.2% | $6.7B | D/E ~0.05x, high R&D intensity (Alpha Vantage) |
| Western Digital | 15.4% | 41.1% | 9.2% | — | AI data center HDD beneficiary (Alpha Vantage) |
| Amazon | 10.5% | 22.3% | 6.9% | $38.2B | AWS share 57%, D/E ~0.01x (Alpha Vantage) |
| Doosan Enerbility | 6.3% | 1.5% | 1.6% | — | D/E 1.26x, pre-order ramp phase (FnGuide) |
3.3 Capital Structure Metrics
| Company | Debt/Equity | PBR | Beta | 52-Week High/Low | Notable |
|---|---|---|---|---|---|
| NVIDIA | 0.13x | 37.8x | 2.31 | $212 / $87 | Net cash position, total debt $10.3B vs. equity $79.3B |
| AMD | ~0.05x | 5.4x | 1.95 | $267 / $76 | Effectively debt-free, equity ~$63B |
| TSMC | Low | 11.0x | 1.27 | $380 / $133 | Stable balance sheet, overseas fab construction underway |
| SK hynix | 0.62x | 1.7x | — | — | CapEx expansion covered by earnings |
| Amazon | ~0.01x | 5.2x | 1.39 | $259 / $161 | Net cash position, ample capacity for $200B 2026 CapEx |
| Alphabet | Net cash | 8.9x | 1.09 | $349 / $140 | Net cash position, strongest balance sheet in group |
| Meta | Net cash | 7.5x | 1.28 | $795 / $479 | FCF $46.1B despite CapEx ramp |
| Microsoft | Low | 7.6x | 1.08 | $554 / $343 | FCF $71.6B, lowest Beta (1.08) |
| Oracle | ~4.1x | 15.4x | 1.63 | $344 / $118 | Debt $104.1B, cash $10.8B. High-leverage structure |
| Western Digital | Low | 13.4x | 1.84 | $310 / $29 | 52-week range of 10.8x — extreme volatility |
| Hanmi Semiconductor | 0.31x | 11.6x | — | — | Low debt, net income KRW 152.6B |
| Doosan Enerbility | 1.26x | 1.5x | — | — | High D/E typical for construction sector, order-based business |
Analysis: The 12 companies’ capital structures fall into 3 categories. (1) Net cash/ultra-low debt (NVIDIA, AMD, Alphabet, Meta, Amazon, Microsoft): Ample financial capacity for AI CapEx expansion. (2) Moderate debt (TSMC, SK hynix, Hanmi Semiconductor): Structural debt for capital investment, manageable through earnings. (3) High leverage (Oracle D/E ~4.1x, Doosan Enerbility D/E 1.26x): Aggressive leverage for growth investment, sensitive to interest rate environment changes.
Growth-Profitability Quadrant Matrix
High Growth — High Profitability
NVIDIA +114%, OPM 63%
SK hynix +47%, OPM 36%
Hanmi Semiconductor +251%, OPM 46%
Stable Growth — High Profitability
Microsoft +15%, OPM 47%
Meta +22%, OPM 41%
TSMC +30%, OPM 54%
High Growth — Low Profitability
Western Digital +51%, OPM 15%
AMD +32%, OPM 17%
Low Growth — Low Profitability
Doosan Enerbility +5%, OPM 6%
Oracle +8%, FCF negative
3.4 Growth-Profitability Matrix Analysis
Aggregating operating metrics, the 12 companies fall into 4 quadrants:
- High Growth, High Profitability: NVIDIA (revenue +114.2%, operating margin 55.9%), SK hynix (+46.7%, 48.6%), Hanmi Semiconductor (+251%, ~45.6%). These companies are directly benefiting from AI infrastructure demand while achieving both growth and profitability.
- Stable Growth, High Profitability: Microsoft (+14.9%, 45.6%), Meta (+22.2%, 41.4%), TSMC (+30.0%, 45.7%), Alphabet (+15.1%, 32.0%). AI serves as an additional growth driver on top of large existing revenue bases.
- High Growth, Low Profitability: Western Digital (+50.7%, operating margin unconfirmed), AMD (+31.8%, 10.7%). Growth is solid, but margin expansion is the critical variable for valuation.
- Low Growth, Low Profitability: Doosan Enerbility (+4.8%, 4.2%), Oracle (+8.4%, 31.8% but FCF negative). The timing of growth story realization will significantly impact valuations.
AI Infrastructure 12-Company Comparative Analysis Series
Part 1: Peer Groups & Multiples (Current) | Part 2: Valuation Deep-Dive | Part 3: Sector Trends & Investment
Valuation Key Takeaways
NVIDIA (PER 47.5x) commands a premium justified by 107% ROE and 114% revenue growth, though cycle risk persists. Meta (PER 21.5x) trades at a 22% discount to peers, suggesting relative undervaluation. SK hynix (PER 32.2x) has re-rating potential driven by HBM4 leadership.
Frequently Asked Questions (FAQ)
Q1. What is this analysis about?
This is an AI infrastructure peer comparison covering 12 companies across 3 peer groups. As global Big Tech’s combined AI infrastructure CapEx reaches $660–690B in 2026, a comprehensive valuation re-rating is underway across the entire AI infrastructure value chain (Futurum Group, IEEE ComSoc, as of February 2026).
Q2. What are the 5 key findings?
NVIDIA’s premium is fundamentally supported but carries cycle risk (PER 47.5x, EV/EBITDA 39.6x vs. semiconductor peer medians of PER 41.0x and EV/EBITDA 27.4x). Its ROE of 107.4% and 114.2% revenue growth back this premium.
Q3. How were the peer groups selected?
Three peer groups were constructed for comprehensive comparison across the AI infrastructure value chain. Since AI infrastructure spans semiconductor design/manufacturing, cloud services, and physical infrastructure in a vertically connected structure, tier-by-tier comparison is more meaningful than traditional same-industry peer selection.
Q4. What do the valuation multiples show?
The PER distribution spans from 21.5x (Meta) to 115.7x (Hanmi Semiconductor), reflecting differences in growth stage, profitability levels, and directness of AI infrastructure exposure.
Q5. How does the PER distribution break down?
Big Tech trades in a tighter PER band (21.5x–28.8x), while semiconductor companies show wider dispersion (32.2x–77.0x), and value chain companies exhibit extreme premiums (26.9x–115.7x).
Research References
- NYU Stern (Damodaran) — PE Ratios by Sector
- Goldman Sachs — AI Investment: Still Focused on Infrastructure
- Stock Analysis — Real-Time Valuation Data
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Disclaimer: This analysis is for educational and informational purposes only and does not constitute a recommendation to buy or sell any securities. U.S. company data was sourced from Alpha Vantage MCP API (S&P Capital IQ-based), and Korean company data from FnGuide. Accuracy and completeness of data are not guaranteed, and figures may differ due to timing discrepancies. Investment decisions should be made based on individual judgment and risk tolerance, and additional analysis tailored to personal investment objectives is recommended.