Murata Manufacturing (6981.T) — Deep DD: The Salt of AI
2026-04-21 09:30 · 6.3 KB
Time: 09:30
Date: 2026-04-21
Type: Deep DD — MLCC global dominance and AI criticality
Why "The Salt of AI"
MLCCs are less than 2% of an AI server's bill of materials cost — but 100% necessary. Without them, the GPU can't function. Murata controls 40% of global supply. This is the "salt of electronics" — cheap per unit, absolutely essential, and controlled by one company.
The Numbers That Matter
| Metric | Value |
|---|---|
| Global MLCC share | ~40% (#1, 2x the #2 player Samsung) |
| AI server MLCC share | ~45% |
| MLCCs per Nvidia GB300 | ~30,000 (vs 1,200 in a smartphone) |
| MLCCs per AI server cabinet | ~440,000 |
| Price increase | 15-35% effective April 1, 2026 |
| AI orders vs capacity | 2x (orders are DOUBLE their supply) |
| Technology lead vs China | ~10 years (1,000 vs 300 ceramic layers) |
| AI MLCC CAGR to 2030 | 30% |
Why AI Needs So Many Capacitors
A GPU drawing 1,400W (GB300 TDP) creates violent current transients during inference/training. MLCCs serve three critical functions:
1. Bulk decoupling — energy storage near the GPU for instant current delivery
2. Mid-frequency decoupling — responding to sudden load changes in nanoseconds
3. High-frequency bypass — suppressing switching noise below 10mV tolerance
Poor power quality causes ~40% of unplanned server outages. Every additional GPU watt requires MORE decoupling capacitors. As GPU power doubles each generation, MLCC content grows proportionally.
MLCC Content Growth
| Platform | MLCCs | Multiple vs Phone |
|---|---|---|
| Smartphone | 1,200 | 1x |
| Car (ICE) | 1,500 | 1.3x |
| Car (EV/ADAS) | 3,000 | 2.5x |
| Traditional server | 5,000 | 4x |
| AI server baseboard | 20,000 | 17x |
| Nvidia GB300 rack | 30,000 | 25x |
| Full AI cabinet | 440,000 | 367x |
Financial Snapshot
| Metric | FY2025 | FY2024 | Trend |
|---|---|---|---|
| Revenue | ¥1.74T | ¥1.64T | +6.3% |
| Operating Margin | 17.2% | 15.9% | Improving |
| Net Income | ¥234B | ¥181B | +29% |
| FCF | ¥269B | ¥261B | Strong |
| Capacitor Revenue | ¥694B | ¥630B | +10.1% |
| PE (trailing) | 22.6x | ||
| PE (forward) | 18.2x | ||
| Dividend | ¥60 | 1.3% yield |
Pricing Power — April 2026 Price Hikes
| Company | Effective | Increase | Follows |
|---|---|---|---|
| Murata | Apr 1 | 15-35% | Sets industry price |
| Samsung EMCO | Apr 2026 | Double-digit | Follows Murata |
| Taiyo Yuden | May 2026 | Double-digit | Follows Murata |
| Yageo | TBD | Following | Follows Murata |
Murata SETS the price. Everyone follows. This is oligopoly pricing power.
Drivers: silver price surge (electrode material) + AI demand (orders 2x capacity) + capacity utilization >80% industry-wide.
Competitive Moat — Why China Can't Catch Up
| Capability | Murata (Japan) | Chinese (Fenghua etc) |
|---|---|---|
| Ceramic layers | 1,000+ | ~300 |
| Smallest MLCC | 0201-size (0.25mm) | 0402 (0.4mm) |
| Highest capacitance | 100uF in 0603 (world first) | ~22uF in 0603 |
| Automotive qualification | AEC-Q200 certified | Not qualified |
| AI server qualification | Approved by all hyperscalers | Not approved |
| Defect rate | Sub-ppm | Higher |
| Estimated catch-up time | — | 5-8 years |
Key barrier: it's not just equipment — it's materials science (ceramic powder formulation), manufacturing precision (nano-layer stacking), and quality control (yield at extreme specs). Chinese firms are poaching Japanese engineers but institutional knowledge is hard to transfer.
The Real Competitor: Samsung EMCO
Samsung Electro-Mechanics is closing the gap in AI server MLCCs:
- AI share: ~40% vs Murata's ~45%
- Advantage: makes own barium titanate powder (vertical integration)
- Challenge: still behind in overall technology breadth and yield
Murata's response: MF Material JV with Ishihara Sangyo and Fuji Titanium for captive BaTiO3 supply by 2027.
New Growth: AI Server Power Modules
Murata is moving UP the value chain — from components to modules:
- AI server power supply units (5.5kW with GaN technology from Rohm)
- Target: ¥50B revenue by FY2027 from power modules
- Mass production starting 2026
- This is a much higher-margin business than individual MLCCs
Risks
| Risk | Severity | Mitigant |
|---|---|---|
| China revenue (48% of total) | HIGH | 3-year decoupling plan, dual supply chains |
| Samsung closing AI gap | MODERATE | Still leads in overall tech, pricing power |
| Silver/nickel cost inflation | MODERATE | Price increases (15-35%) being absorbed |
| Smartphone maturation | MODERATE | AI + automotive replacing smartphone growth |
| AI capex cycle reversal | LOW (near-term) | Orders 2x capacity, 2018 correction took 18 months to arrive |
Bull vs Bear
Bull (60% probability):
- 30% CAGR for AI MLCC through 2030
- Price increases stick and expand margins back toward 20%+
- Power module business adds ¥50B revenue
- Forward PE 18.2x re-rates to 22-25x on earnings growth
- Target: ¥6,000-7,000 (25-45% upside)
Bear (20% probability):
- China geopolitical escalation disrupts 48% of revenue
- Samsung gains AI share parity, pricing power erodes
- AI capex cycle peaks mid-2027, MLCC correction follows
- Target: ¥3,200-3,500 (25-30% downside)
Base (20% probability):
- Steady growth, margins stable at 17-18%
- AI growth offsets smartphone decline
- Target: ¥5,000-5,500 (5-15% upside)
Conviction: HIGH — Maintained
Murata is the toll-gate on AI infrastructure. Every GPU needs 3,000 MLCCs. Every AI rack needs 440,000. No substitute. 40% global share. 10-year tech lead vs China. Orders at 2x capacity. Price increases being absorbed.
The stock is NOT cheap at 22.6x trailing, but 18.2x forward with 30% CAGR for the key segment is reasonable. The risk is China (48% revenue) — but that's a known risk being actively managed.
Sources
- TrendForce: Murata AI MLCC demand, price hikes, Samsung competition
- Bloomberg: Murata 35% price increase
- Digitimes: AI server MLCC orders 2x capacity
- Signal Integrity Journal: Capacitors in AI power delivery
- Murata corporate: earnings, factory completions, MF Material JV
- StockAnalysis: financial data