ENTITY: ROLLS-ROYCE HOLDINGS PLC

The 2030 Report | Macro Intelligence Memo

CONFIDENTIAL - For Institutional Distribution

FROM: The 2030 Report, Industrial & Aerospace Intelligence Unit TO: Institutional Investors, Aerospace & Defense Specialists, & Industrial Transformation Analysts RE: Rolls-Royce FY2024-2030: Successful Services Transition, Digital Twin Monetization, Power-by-the-Hour Expansion, and Total Shareholder Return Acceleration from Legacy Manufacturing Model DATE: June 2030 CLASSIFICATION: Strategic Macro Intelligence

EXECUTIVE SUMMARY

Rolls-Royce Holdings PLC, historically categorized as a specialist aerospace engine manufacturer with mature cash generation but limited growth prospects, has executed one of the more successful business model transformations among legacy industrial companies during the FY2024-2030 period. The company transitioned from a pure product-sales manufacturing business model toward an increasingly services and outcome-based revenue model through systematic monetization of digital twin technology, predictive maintenance artificial intelligence, and innovative "power-by-the-hour" contractual structures.

Key Intelligence Findings:

• Structural Revenue Shift: Services revenue (maintenance, digital optimization, spare parts, predictive analytics) grew from 35% of total revenue in FY2024 to approximately 52% by FY2030, with services CAGR of 12-15% versus engine sales CAGR of 2-3%
• Margin Expansion: Services revenue generation produces gross margins of 65-75%, compared to 35-45% for traditional engine manufacturing, driving overall EBITDA margin expansion of 150-200 basis points over the six-year period
• Customer Economics Transformation: "Power-by-the-hour" contracts, where Rolls-Royce charges per flight hour (or operating hour) rather than per engine sale, aligned incentives around operational availability and created 10-15 year customer relationships with high switching costs
• Digital Capability Development: The company hired approximately 8,000-10,000 data scientists, software engineers, and digital specialists, requiring integration of technology talent into a traditionally engineering-focused culture

We assess Rolls-Royce as a successfully transitioned industrial company positioned to capture disproportionate value creation from aerospace industry digital transformation. The company delivered total shareholder returns of approximately 7.9% CAGR from FY2024-FY2030, materially outperforming legacy aerospace peers.

Investment Thesis Rating: BUY | Price Target: GBP £2.85-3.10 | Rating: OUTPERFORM | Risk/Reward: 1.8x Positive

SUMMARY: THE BEAR CASE vs. THE BULL CASE

BEAR CASE (20% probability): Competitors narrow AI advantage; power-by-the-hour adoption stalls; margins compress. Fair value £2.00-2.20/share. Downside 20-30%.

BULL CASE (25% probability): Military applications accelerate; DealMind advantage sustains; margin expansion to 46-48%. Fair value £3.50-4.00/share. Upside 35-51%.

BASE CASE (55% probability): Steady services transition continues; margins expand to 24-26%; power-by-the-hour reaches 60% of revenue. Fair value £2.85-3.10/share.

SECTION 1: BUSINESS MODEL TRANSFORMATION & STRATEGIC EVOLUTION

Historical Business Architecture (Pre-2024):

Rolls-Royce's traditional business model reflected the industrial-era manufacturing company structure: Rolls-Royce designed and manufactured specialized aerospace engines (civil and military applications), marine propulsion systems (submarines, warships, commercial vessels), and power systems for distributed generation applications. Revenue was generated primarily through: (1) one-time engine sales (approximately 45-50% of revenue); (2) spare parts and component sales (approximately 35-40%); and (3) limited-scope maintenance contracts (5-10%).

This business model generated stable but cyclical cash flows dependent on new aircraft orders and fleet replacement cycles. Engine sales carried 35-45% gross margins (due to high development costs amortized across production runs), while parts and maintenance generated 45-55% margins. The model's limitation was its dependence on capital expenditure cycles of commercial airlines and government military procurement budgets, creating revenue volatility and limited growth visibility.

The Digital Twins Investment Foundation (2010-2024):

Beginning in the early 2010s, Rolls-Royce invested substantially in digital twin technology development: creating virtual, sensor-enabled digital models of physical engines that could replicate real-world performance characteristics and generate predictive analytics regarding equipment failure modes. This investment was initially exploratory—the company recognized that aerospace engines (costing USD $25-75 million per unit) and marine propulsion systems (costing USD $50-200 million) represented extraordinarily high-value capital assets where predictive failure prevention could generate significant customer value.

By the early 2020s, digital twin technology had matured sufficiently that Rolls-Royce could deploy AI-enabled predictive maintenance systems across existing customer fleets. The company integrated sensor networks into engines, accumulated terabytes of operational performance data, and deployed machine learning models that could identify anomalous performance patterns (indicating impending failures) with 85-95% accuracy and 4-12 week prediction lead times.

Power-by-the-Hour Model Innovation (2024-2030):

The critical strategic inflection point for Rolls-Royce occurred in FY2024-2025 when the company systematically shifted customer relationships from transactional engine sales toward outcome-based "power-by-the-hour" (or "thrust-by-the-hour") contractual structures. Under this model:

• Customer Economics: Airlines pay Rolls-Royce a fixed fee per flight hour (approximately USD $15,000-35,000 per engine per flight hour, depending on engine type and utilization)
• Rolls-Royce Economics: The company receives recurring revenue directly proportional to customer operational utilization, eliminating sales-cycle lumpiness while generating high-margin recurring cash flows
• Incentive Alignment: Rolls-Royce's financial interests are directly aligned with engine operational availability—the company only gets paid when engines are running, creating maximum incentive for predictive maintenance and failure prevention
• Switching Costs: Once a customer fleet is onboarded to a power-by-the-hour contract, switching to a competitor becomes operationally complex and commercially disadvantageous, creating customer lock-in

By FY2030, Rolls-Royce had converted approximately 52% of revenue base to outcome-based contracts (up from 35% in FY2024), with approximately 75% of new aircraft orders coming with power-by-the-hour contracts attached. This represents a fundamental shift in business model from product-sales cycles to annuity-like services revenues.

SECTION 2: REVENUE MIX & FINANCIAL PERFORMANCE ANALYSIS

Revenue Segment Evolution (FY2024-FY2030):

The revenue trajectory demonstrates classic "platform transition" characteristics: declining legacy product sales (traditional engines down 3.8% CAGR) more than offset by accelerating services growth (power-by-the-hour 15.1% CAGR, digital services 41.8% CAGR). By FY2030, services revenue (power-by-the-hour plus digital services) represents 56% of total revenue, compared to 28% in FY2024.

Margin Expansion & EBITDA Progression:

Gross margin expansion of 820 basis points (from 45.6% to 53.8%) reflects the revenue mix shift toward higher-margin services. EBITDA growth of 9.8% CAGR substantially outpaces revenue growth of 4.8%, demonstrating operating leverage from business model transition. By FY2030, each percentage point of additional services revenue mix shift generates approximately 15-20 basis points of EBITDA margin improvement.

Operating Free Cash Flow & Capital Allocation:

Power-by-the-hour contracts generate superior cash flow characteristics compared to traditional engine sales: (1) upfront customer commitment reduces working capital requirements; (2) contractual payment terms typically require monthly/quarterly payments (versus one-time engine payment); and (3) maintenance and spare parts are embedded in contract pricing, smoothing cash flow.

FY2030 operating free cash flow reached USD $2.8 billion, up from USD $1.6 billion in FY2024, representing 9.9% free cash flow conversion on revenue. Rolls-Royce management deployed capital through: (1) dividend increases averaging 8-10% annually; (2) opportunistic share repurchases (approximately USD $800M over six-year period); and (3) strategic M&A in digital services and predictive maintenance analytics capabilities.

SECTION 3: COMPETITIVE POSITIONING & MARKET SHARE DYNAMICS

Competitive Moat Widening:

Rolls-Royce's successful transition to outcome-based services created meaningful competitive advantages difficult for rivals to replicate:

1. Data Accumulation Advantage: By FY2030, Rolls-Royce had accumulated 15+ years of operational engine data from approximately 2,500+ engines in service. This proprietary dataset enabled progressively more accurate failure prediction models and enabled competitive differentiation in predictive maintenance accuracy (Rolls-Royce: 88-92% prediction accuracy versus competitors: 72-80%)

2. Installed Base Lock-In: Approximately 65% of Rolls-Royce revenue base (power-by-the-hour contracts) represented customers with 10-15 year contractual commitments. High switching costs created durable revenue bases insulating from competitor pressure

3. Integrated Digital Ecosystem: Rolls-Royce built proprietary digital platforms integrating customer flight operations data, engine sensor data, and predictive models. Customer dependence on these platforms created additional stickiness

Competitive Challenges & Peer Comparison:

Rolls-Royce's major peer (General Electric's aviation division, now independent as GE Aerospace) and secondary competitors (Pratt & Whitney, CFM International) all accelerated service model transitions between FY2026-2030 in response to Rolls-Royce's early-mover success. However, Rolls-Royce maintained 18-24 month lead times in digital capabilities and predictive maintenance accuracy.

Importantly, power-by-the-hour adoption created increasing visibility into customer fleet utilization, enabling Rolls-Royce to forecast demand more accurately than competitors relying on traditional sales-based forecasting.

SECTION 4: DIGITAL TALENT INTEGRATION & ORGANIZATIONAL TRANSFORMATION

Technology Talent Acquisition & Integration:

Between FY2024-2030, Rolls-Royce underwent substantial organizational transformation to support services transition. The company hired approximately 8,000-10,000 software engineers, data scientists, machine learning specialists, and digital product managers. This represented approximately 12-15% of total headcount expansion and a fundamental shift in employee composition.

Integrating technology talent into a traditionally aerospace-engineering-focused culture created organizational challenges:

• Cultural Integration: Technology-focused talent often expects agile development practices, rapid iteration, and flat organizational structures, conflicting with aerospace industry's emphasis on detailed documentation and hierarchical governance
• Retention Challenges: Competitive technology labor markets created wage/benefits inflation, with some attrition as technology talent pursued pure-tech industry roles with higher compensation
• Skill Complementarity: Successful integration required pairing technologists with aerospace domain experts, creating new organizational structures and cross-functional teams

However, management successfully navigated these challenges through: (1) establishing dedicated digital subsidiaries with startup-like operating models; (2) implementing equity-based compensation for technology talent; and (3) recruiting experienced aerospace technology leaders familiar with both domains.

Digital Capability Development Outcomes:

By FY2030, Rolls-Royce had developed proprietary machine learning platforms for: - Real-time engine health monitoring and diagnostics - Predictive failure analysis with 4-12 week lead times - Spare parts optimization and just-in-time logistics - Customer fleet optimization and fuel efficiency modeling

These capabilities became meaningful competitive advantages and revenue-generating products sold independently to customers.

SECTION 5: CUSTOMER ACQUISITION & POWER-BY-THE-HOUR PENETRATION

Adoption Timeline & Market Dynamics:

Power-by-the-hour contract adoption proceeded in phases:

• FY2024-2025: Approximately 35-40% of Rolls-Royce revenue under outcome-based contracts; adoption driven by major airline customers (British Airways, Lufthansa, Singapore Airlines) seeking improved cost predictability
• FY2026-2027: Power-by-the-hour adoption accelerated as: (1) predictive maintenance capability proved its value through failure prevention; (2) competing engines (GE Aerospace, Pratt & Whitney) were not yet offering equivalent models; (3) airline industry consensus shifted toward viewing power-by-the-hour as industry standard
• FY2028-2030: By 2030, approximately 52% of Rolls-Royce revenue came through outcome-based contracts, with 75% of new aircraft orders including power-by-the-hour provisions

Economic Value Drivers for Customers:

Power-by-the-hour contracts generate customer value through:

1. Cost Predictability: Fixed monthly/quarterly payments eliminate uncertainty around maintenance costs, improving airline financial planning
2. Capital Efficiency: Outcome-based pricing reduces effective capital requirements versus outright engine ownership, improving airline return on assets
3. Operational Reliability: Predictive maintenance ensures higher engine availability and reduced unexpected failures (reducing aircraft downtime by 15-25%)

Airlines typically realized 8-15% total cost of ownership improvements versus traditional engine ownership models, justifying premium power-by-the-hour pricing.

SECTION 6: FINANCIAL VALUATION & SHAREHOLDER RETURN DYNAMICS

Historical Returns & Valuation Expansion:

Rolls-Royce delivered total shareholder returns of 7.9% CAGR from FY2024-FY2030: - Dividend yields: approximately 2.5-3.2% annually - Capital appreciation: approximately 4.5-5.5% annually - Valuation multiple expansion: FY2024 P/E ratio of 9.8x expanded to FY2030 P/E ratio of 12.4x (driven by perceived quality improvement as services transition matured)

This return profile outperformed legacy aerospace peers (GE Aerospace: 5.2% CAGR; Boeing: 3.1% CAGR) during the same period, reflecting market recognition of successful business model transition.

Forward Return Expectations (FY2030-2035):

Our base case forecasts FY2035 EBITDA of USD $4.9-5.2 billion (supported by power-by-the-hour revenue reaching 65% of total) and FY2035 P/E multiples of 13.5-14.5x (reflecting perceived quality premium versus cyclical aerospace). Under this scenario, CAGR returns of 9-11% are achievable through FY2035.

Upside scenarios (60% probability of some upside realization) include: (1) accelerated adoption of outcome-based contracts in military/defense applications (adding 8-12% revenue upside); (2) successful licensing of digital twin and predictive maintenance technology to non-aerospace applications (industrial equipment, power generation).

SECTION 7: STRATEGIC RISKS & HEADWINDS

Competitive Response & Margin Pressure:

As competitors (GE Aerospace, Pratt & Whitney) develop equivalent predictive maintenance and power-by-the-hour capabilities, competitive pricing pressure could compress service margins. Our base case assumes service gross margins stabilize at 68-72% by FY2033 (down from current 71%+ levels).

Technology Disruption & Engine Architecture Evolution:

Longer-term risks include architectural engine evolution (open-rotor designs, radical new propulsion concepts) that could render existing digital twin models and predictive maintenance systems obsolete. However, digital capabilities should transfer to new engine architectures with 12-18 month development lag.

Cyclical Industry Exposure:

Despite transition toward recurring services, Rolls-Royce remains exposed to aerospace industry cycles. Sustained airline fleet reductions or aircraft order declines would reduce power-by-the-hour contract volume growth.

THE DIVERGENCE: BEAR vs. BULL INVESTMENT OUTCOMES

CONCLUSION

Rolls-Royce's transformation from product-centric manufacturing to services represents best-practice legacy industrial company transition. The company leveraged digital twin investments to create defensible competitive advantages.

FINAL INVESTOR ASSESSMENT:

Rolls-Royce offers exposure to successful business model transformation, aerospace industry growth, and recurring services visibility. Fair value £2.85-3.10 on base case reflects consensus expectations. Bull case to £3.50-4.00 if military applications accelerate and margin expansion exceeds expectations. Rating: BUY | Price Target: £2.85-3.10 | 9-11% CAGR expected through 2035.

The 2030 Report — Macro Intelligence Unit Prepared: June 2030 | Distribution: Institutional Investors Only

REFERENCES & DATA SOURCES

1. Rolls-Royce Annual Report & Form 20-F Filing, FY2029
2. Bloomberg Intelligence, "Rolls-Royce: Equity Research & Valuation," Q2 2030
3. McKinsey Global Institute, "Digital Disruption and Corporate Valuations in EMEA," March 2029
4. Bank of England, "Corporate Credit and Investment Trends," June 2030
5. Reuters UK, "UK Stock Market: Sector Analysis & Valuations," Q1 2030
6. Gartner, "Digital Transformation and Long-Term Value Creation," 2030
7. OECD Economic Outlook, "UK Corporate Earnings and Growth Prospects," 2029
8. Rolls-Royce Investor Relations, Q4 2029 Earnings Presentation & FY2030 Guidance
9. IMF Global Financial Stability Report, "Equity Markets in Advanced Economies," April 2030
10. CBI/Deloitte, "UK Business Confidence and Investment Survey," Q1 2030
11. Goldman Sachs, f"{company_name} Equity Research Report," Q2 2030
12. Morgan Stanley, "UK Equity Market Outlook and Sector Positioning," June 2030