Nvidia Corporation Stock Note

Nvidia Corporation

Stock Note

April 2026

Company Overview

NVIDIA Corporation is a global leader in accelerated computing, specialising in graphics processing units (GPUs), artificial intelligence (AI), and high-performance computing solutions. Founded in 1993 and headquartered in Santa Clara, California, the company has transformed from a niche provider of PC graphics hardware into one of the most strategically important technology companies globally, serving as a foundational enabler of the AI-driven digital economy.

At its core, NVIDIA designs highly specialised semiconductors optimised for parallel processing, enabling significantly faster computation for workloads such as AI training, inference, simulation, and advanced graphics rendering. Unlike traditional CPU-based architectures, NVIDIA’s GPUs are engineered to handle thousands of simultaneous operations, making them indispensable for modern data-intensive applications.

Over time, NVIDIA has expanded beyond chip design into a full-stack computing platform company, integrating hardware, software, networking, and system-level solutions. This evolution has allowed the company to capture a larger share of the value chain and establish a defensible competitive moat.

The company operates through four primary business segments:

Data Centre:This is NVIDIA’s largest and most critical segment, accounting for the majority of revenue and nearly all incremental growth. The segment provides advanced GPUs (including its flagship AI accelerators), high-speed interconnects, and integrated systems designed for hyperscale cloud providers, enterprise data centres, and research institutions. NVIDIA’s platforms are central to training and deploying large-scale AI models, including generative AI and large language models. The company has increasingly shifted towards selling complete AI infrastructure stacks (e.g., DGX systems and AI supercomputing clusters), rather than standalone chips, thereby increasing average selling prices and deepening customer dependence.

Gaming:NVIDIA’s gaming segment remains a significant contributor to revenue and cash flow, anchored by its GeForce GPU product line. The company maintains a leading position in the high-end gaming market, supported by continuous innovation in graphics performance, real-time ray tracing, and AI-enhanced rendering technologies such as DLSS (Deep Learning Super Sampling). Beyond gaming, these GPUs are also widely used by content creators, streamers, and prosumers, expanding the segment’s addressable market.

Professional Visualization:This segment provides high-performance GPUs and software platforms for professional workloads, including 3D design, animation, simulation, and digital twin applications. NVIDIA’s Omniverse platform is a notable initiative within this segment, enabling real-time collaboration and simulation in virtual environments. The segment serves industries such as architecture, engineering, media, healthcare, and manufacturing.

Automotive:NVIDIA develops end-to-end AI platforms for autonomous driving and intelligent vehicles, including hardware (Drive Orin and Drive Thor), software stacks, and development tools. The company partners with global automotive OEMs and Tier 1 suppliers to integrate AI capabilities into vehicles, covering applications such as advanced driver-assistance systems (ADAS), autonomous driving, and in-cabin AI. While currently a relatively small contributor to group revenue, the segment represents a long-duration growth opportunity with strong forward contract visibility.

A defining feature of NVIDIA’s business model is its vertically integrated ecosystem. The company’s proprietary CUDA software platform enables developers to build applications specifically optimised for NVIDIA GPUs, creating a powerful lock-in effect. Over time, CUDA has become the industry standard for accelerated computing, supported by a large and growing developer base. NVIDIA further reinforces this ecosystem through domain-specific software libraries, AI frameworks, and pre-trained models, positioning itself not just as a hardware provider but as a comprehensive AI platform company.

In addition, NVIDIA has strengthened its competitive positioning through strategic expansion into networking and systems. The acquisition of Mellanox enabled the company to integrate high-performance networking capabilities (such as InfiniBand) into its data centre offerings, which are critical for scaling AI workloads across clusters. This has allowed NVIDIA to deliver tightly coupled, high-performance computing solutions that are difficult for competitors to replicate.

From a strategic perspective, NVIDIA is at the centre of several long-term structural growth themes, including generative AI, cloud computing, high-performance computing, robotics, and autonomous systems. Its products are widely regarded as essential infrastructure for training and deploying AI models, resulting in strong and sustained demand from hyperscalers, enterprises, governments, and research institutions.

As a result, NVIDIA has successfully transitioned from a historically cyclical semiconductor company into a structurally critical platform provider with characteristics of both a hardware and software business. Its ability to combine cutting-edge chip design with a deeply embedded software ecosystem has created significant barriers to entry, enabling the company to capture outsized value from the ongoing global shift towards AI-driven computing.

Financial Highlights

NVIDIA has delivered an unprecedented step-change in financial performance over the past three fiscal years, driven by explosive demand for AI infrastructure and accelerated computing. The company’s revenue has expanded from $27.0 billion in FY2024 to $60.9 billion in FY2025 (+126% YoY) and approximately $120–130 billion in FY2026 (+~100% YoY), representing nearly a fivefold increase in just two years. This rapid scaling reflects NVIDIA’s central role in enabling generative AI and large-scale computing workloads across hyperscalers, enterprises, and governments.

This growth has been overwhelmingly driven by the Data Centre segment, which has become the dominant contributor to group performance. In FY2026, Data Centre revenue reached approximately $90–100 billion, accounting for ~70–75% of total revenue, compared to roughly $15 billion in FY2024, implying more than a sixfold increase over the period. By contrast, the Gaming segment generated approximately $15–18 billion (~12–15%), while Professional Visualization contributed $3–4 billion (~2–3%), and Automotive and other segments contributed $4–5 billion (~3–4%). This shift underscores NVIDIA’s transition from a diversified semiconductor business to a highly AI-centric infrastructure provider.

Profitability has expanded significantly alongside revenue growth, reflecting strong pricing power and operating leverage. Gross margins increased from approximately ~56% in FY2024 to ~72% in FY2025, and remained elevated at ~72–75% in FY2026, supported by a favourable mix shift towards high-margin AI accelerators and integrated systems. Operating income grew from approximately $4.2 billion in FY2024 to ~$33 billion in FY2025, and further to an estimated $70–80 billion in FY2026, implying operating margins in the range of 55–60%. This level of profitability is atypical for semiconductor companies and reflects NVIDIA’s evolution towards a platform-driven business model with embedded software and ecosystem advantages.

Net income has scaled even more rapidly, increasing from ~$4.4 billion in FY2024 to $29.8 billion in FY2025 (+~580% YoY) and further to approximately $65–75 billion in FY2026 (+~120% YoY). The disproportionate growth in earnings relative to revenue highlights the scalability of NVIDIA’s cost structure and the high incremental margins associated with its Data Centre business.

Cash flow generation has strengthened materially in tandem with earnings growth. Operating cash flow increased from approximately $5–6 billion in FY2024 to ~$28–30 billion in FY2025, and further to ~$65–70 billion in FY2026. Free cash flow followed a similar trajectory, rising from ~$4–5 billion in FY2024 to ~$27 billion in FY2025, and exceeding $60 billion in FY2026. This strong cash conversion is driven by high profitability and NVIDIA’s asset-light, fabless model, which limits capital expenditure requirements relative to revenue. However, working capital intensity has increased in absolute terms due to higher inventory levels, supplier prepayments, and long-term capacity commitments required to support demand visibility.

From a balance sheet perspective, NVIDIA remains exceptionally well-capitalised, with ~$35–45 billion in cash and short-term investments and relatively modest debt levels, resulting in a strong net cash position. This financial strength provides the company with significant strategic flexibility to invest in research and development, secure supply chain capacity, and return capital to shareholders. It is notable that NVIDIA has invested over $75 billion cumulatively in R&D, reinforcing its technological leadership.

Despite its strong financial profile, NVIDIA’s performance is increasingly concentrated within the Data Centre segment and among a relatively small number of hyperscale customers, introducing a degree of cyclicality tied to AI infrastructure spending. Additionally, regulatory developments—particularly U.S. export controls—have already resulted in financial impacts, including inventory-related charges (e.g., approximately $4.5 billion associated with restricted products) and reduced access to certain international markets.

Overall, NVIDIA’s financial trajectory reflects a structural transformation into a high-growth, high-margin AI infrastructure platform. The company combines exceptional revenue expansion, industry-leading profitability, and strong cash generation, positioning it as one of the most financially powerful and strategically critical companies in the global technology landscape.

Investment Thesis

NVIDIA represents a compelling investment opportunity as the dominant provider of accelerated computing infrastructure underpinning the global transition towards artificial intelligence. The company combines structural growth exposure, strong competitive advantages, and exceptional financial performance, positioning it as a core beneficiary of one of the most significant technological shifts in decades.

Structural Exposure to AI as a Multi-Decade Growth ThemeNVIDIA sits at the centre of the global AI value chain, supplying the critical hardware and software required to train and deploy AI models. The rapid adoption of generative AI, large language models, and enterprise AI applications is driving a sustained increase in demand for high-performance computing infrastructure. As AI transitions from experimentation to large-scale deployment across industries, demand for NVIDIA’s platforms is expected to remain robust over the long term, supported by continued investment from hyperscalers, enterprises, and sovereign entities.

Dominant Competitive Position with High Barriers to EntryNVIDIA maintains a near-monopolistic position in high-end AI accelerators, underpinned by its technological leadership and integrated ecosystem. The company’s CUDA software platform, extensive developer base, and domain-specific AI libraries create significant switching costs for customers. Competitors face substantial challenges in replicating this ecosystem, which has been built over nearly two decades. Additionally, NVIDIA’s expansion into full-stack solutions—including networking, systems, and software—further entrenches its position and increases customer dependence.

Platform Business Model Driving Superior EconomicsNVIDIA has evolved from a semiconductor company into a full-stack computing platform provider, combining hardware, software, and systems integration. This shift has materially improved the company’s economic profile, enabling higher average selling prices, recurring software revenue opportunities, and increased share of customer spend. As a result, NVIDIA exhibits characteristics of both a hardware and software company, with gross margins in excess of 70% and operating margins approaching 60%, significantly above traditional semiconductor peers.

Exceptional Financial Performance and Cash GenerationThe company’s financial performance reflects its strong market positioning, with revenue increasing from $27.0 billion in FY2024 to approximately $120–130 billion in FY2026. This growth has been accompanied by substantial margin expansion and free cash flow generation exceeding $60 billion. NVIDIA’s asset-light model and strong balance sheet provide flexibility to reinvest in innovation, secure supply, and return capital to shareholders, reinforcing its long-term growth prospects.

Expanding Total Addressable Market Across Multiple VerticalsWhile data centres remain the primary growth driver, NVIDIA’s technology is increasingly being adopted across a wide range of industries, including healthcare, automotive, financial services, and manufacturing. Applications such as autonomous driving, robotics, digital twins, and AI-powered enterprise software significantly expand the company’s total addressable market. This diversification provides multiple long-term growth vectors beyond its core Data Centre business.

Strong Customer Demand Supported by Hyperscaler Investment CyclesNVIDIA benefits from sustained capital expenditure by major cloud providers, which continue to invest heavily in AI infrastructure. These hyperscalers represent a significant portion of demand and are engaged in an ongoing arms race to build increasingly powerful AI capabilities. This dynamic supports near- to medium-term revenue visibility, as customers commit to large-scale infrastructure deployments.

NVIDIA represents a high-quality, structurally advantaged business with exposure to one of the most transformative technological trends globally. Its leadership in AI infrastructure, combined with a defensible ecosystem and exceptional financial profile, supports a strong long-term investment case. However, the sustainability of its growth trajectory remains closely tied to the evolution of AI demand and capital expenditure cycles among its largest customers.

Key Catalysts

NVIDIA’s investment case is supported by several near- to medium-term catalysts that could drive continued revenue growth, margin expansion, and valuation upside. These catalysts are largely tied to the pace of AI adoption, product innovation cycles, and the scaling of global compute infrastructure.

Continued Acceleration in AI Infrastructure SpendingThe most significant catalyst for NVIDIA remains sustained capital expenditure by hyperscalers and enterprises on AI infrastructure. Major cloud providers are engaged in an ongoing buildout of AI data centres to support training and inference workloads, with investment levels continuing to scale. Any further acceleration in AI adoption—particularly in enterprise use cases—would drive incremental demand for NVIDIA’s GPUs, networking solutions, and full-stack systems.

Product Cycle Upside from Next-Generation Architectures (Blackwell and Beyond)The rollout and scaling of NVIDIA’s next-generation architectures, particularly the Blackwell platform, represent a key driver of both revenue growth and margin expansion. New architectures typically deliver significant performance improvements, enabling higher pricing and increased customer demand. Faster product cycles and broader deployment of next-generation systems across hyperscalers could materially increase average selling prices and overall revenue.

Expansion of AI Use Cases and Enterprise AdoptionWhile current demand is heavily concentrated among large technology companies, broader enterprise adoption of AI represents a major incremental growth opportunity. Increased deployment of AI across industries such as healthcare, financial services, manufacturing, and retail could significantly expand NVIDIA’s addressable market. The monetisation of generative AI applications, AI agents, and automation tools is likely to drive sustained long-term demand.

Growth in AI Inference DemandTo date, much of NVIDIA’s revenue has been driven by AI model training; however, the shift towards inference (the deployment and usage of AI models at scale) represents a significant additional demand driver. Inference workloads require large-scale, ongoing compute resources, potentially leading to a more recurring and stable revenue base. Increased adoption of AI-powered applications by end users will accelerate this trend.

Software Monetisation and Ecosystem ExpansionNVIDIA’s ability to monetise its software stack—including CUDA, AI Enterprise, and domain-specific platforms—represents an important catalyst for margin expansion and revenue diversification. As enterprises increasingly adopt end-to-end AI solutions, software and services could become a larger proportion of revenue, enhancing profitability and reducing reliance on hardware cycles.

Supply Chain Scaling and Capacity ExpansionNVIDIA’s ability to secure sufficient supply—particularly advanced packaging and high-bandwidth memory—remains a key constraint. Improvements in supply chain capacity and the resolution of bottlenecks would enable the company to fulfil backlog demand more effectively, translating directly into higher realised revenue. Increased production capacity could also support faster deployment of new architectures.

Expansion into New Growth Verticals (Automotive, Robotics, and Sovereign AI)Emerging segments such as autonomous driving, robotics, and sovereign AI infrastructure (government-led AI investments) represent additional catalysts. Large-scale national AI initiatives and increased investment in automation technologies could drive incremental demand for NVIDIA’s platforms over the medium to long term.

Strategic Partnerships and Long-Term Supply AgreementsPartnerships with hyperscalers, enterprises, and governments—often involving multi-year infrastructure commitments—provide visibility into future revenue streams. Announcements of large-scale deals, AI supercomputing deployments, or sovereign AI partnerships could act as positive catalysts for both earnings and market sentiment.

Capital Allocation and Shareholder ReturnsGiven its strong free cash flow generation, NVIDIA has the capacity to increase share buybacks or dividends. Enhanced capital return programmes could support shareholder value and provide downside protection in periods of market volatility.

Investment Risks

Despite its strong market positioning and financial performance, NVIDIA is exposed to a number of material risks that could impact its growth trajectory, profitability, and valuation. These risks primarily relate to demand concentration, competitive dynamics, regulatory constraints, and execution challenges associated with scaling a rapidly expanding business.

Customer Concentration and Dependence on HyperscalersA significant proportion of NVIDIA’s revenue is derived from a small number of large hyperscale cloud providers. These customers account for the majority of Data Centre demand and have substantial bargaining power. Any slowdown in capital expenditure, changes in procurement strategies, or vertical integration (e.g., development of in-house AI chips) could materially impact NVIDIA’s revenue growth and pricing power.

Cyclicality of AI Infrastructure SpendingWhile AI represents a structural growth theme, investment in infrastructure remains subject to cyclical capital expenditure patterns. The current level of spending by hyperscalers may not be sustainable indefinitely, particularly if monetisation of AI applications lags expectations. A slowdown in AI investment could result in demand normalisation, inventory corrections, and pressure on both revenue and margins.

Increasing Competition and Technological DisruptionNVIDIA operates in a highly competitive and rapidly evolving industry. Key competitors include established semiconductor companies and large technology firms developing proprietary AI chips. Competitors may offer lower-cost alternatives or differentiated architectures, potentially eroding NVIDIA’s market share over time. Additionally, technological shifts (e.g., alternative computing architectures) could reduce reliance on GPUs for certain workloads.

Regulatory and Geopolitical Risks (Export Controls)U.S. export restrictions on advanced semiconductor products have already limited NVIDIA’s ability to serve key markets, particularly China. These restrictions have resulted in lost revenue opportunities and inventory-related charges, and could continue to constrain growth. Further tightening of export controls or broader geopolitical tensions may exacerbate these challenges and benefit domestic competitors in restricted markets.

Supply Chain Constraints and Execution RiskNVIDIA relies on third-party manufacturers and suppliers for production, including advanced semiconductor fabrication and packaging. Constraints in areas such as high-bandwidth memory and advanced packaging capacity may limit the company’s ability to meet demand. Additionally, the increasing complexity of its products and supply chain introduces execution risk, particularly during rapid product transitions.

Product Transition and Technology Cycle RiskThe company operates in an environment characterised by rapid innovation and frequent product cycles. Delays in the rollout of new architectures, lower-than-expected performance improvements, or quality issues could negatively impact customer demand and financial performance. Customers may also defer purchases in anticipation of next-generation products, creating revenue volatility.

Margin Sustainability RiskNVIDIA’s current profitability levels are exceptionally high and may not be sustainable over the long term. Increased competition, pricing pressure, or changes in product mix could lead to margin compression. Additionally, higher input costs, supply chain investments, or increased operating expenses could impact profitability.

Demand Volatility and Forecasting ChallengesThe rapid emergence of new AI use cases makes demand forecasting inherently difficult. Sudden shifts in demand—either upward or downward—could lead to supply-demand mismatches, resulting in either lost sales opportunities or excess inventory. This volatility could negatively impact revenue visibility and financial performance.

Concentration in Data Centre SegmentNVIDIA’s financial performance is increasingly concentrated in the Data Centre segment, which now accounts for the majority of revenue and profits. This concentration increases exposure to a single end market and reduces diversification, amplifying the impact of any slowdown in AI-related spending.

Valuation and Market Expectations RiskNVIDIA’s valuation reflects high expectations for sustained growth and profitability. Any deviation from these expectations—whether due to slower growth, margin compression, or external factors—could result in significant share price volatility. The company’s performance is therefore highly sensitive to market sentiment and forward guidance.

Valuation

NVIDIA’s valuation reflects its unique positioning as the dominant infrastructure provider for the global AI ecosystem, combining characteristics of both a high-growth technology company and a high-margin platform business. The company currently trades at a premium to traditional semiconductor peers, justified by its superior growth profile, margin structure, and strategic importance within the AI value chain.

On a forward-looking basis, NVIDIA is estimated to generate FY2026 net income of approximately $65–75 billion, implying a forward price-to-earnings (P/E) multiple in the range of ~30–40x, depending on market conditions. This represents a compression from peak multiples observed earlier in the AI cycle, driven by the rapid scaling of earnings rather than a decline in market valuation. On a trailing basis, the company trades at approximately ~40–50x earnings, reflecting its exceptional growth over the past two years.

From a revenue perspective, NVIDIA trades at approximately ~20–25x forward sales, significantly above historical semiconductor averages but more aligned with high-growth software and platform companies. This elevated multiple is supported by strong visibility into near-term demand, driven by hyperscaler capital expenditure and ongoing AI infrastructure buildouts.

In terms of cash flow, NVIDIA is expected to generate free cash flow in excess of $60 billion, implying a free cash flow yield of approximately ~2–3%. While this yield appears relatively low in absolute terms, it reflects the market’s expectation of sustained high growth and reinvestment opportunities rather than mature cash return dynamics.

Relative to peers, NVIDIA trades at a substantial premium across all key valuation metrics. Traditional semiconductor companies typically trade at lower multiples due to cyclicality, lower margins, and less differentiated offerings. In contrast, NVIDIA’s vertically integrated ecosystem, software monetisation potential, and dominant market share justify its re-rating as a platform company rather than a pure hardware provider.

From a growth-adjusted perspective, NVIDIA’s valuation appears more balanced. The company has delivered revenue growth of approximately ~100% YoY and net income growth exceeding ~120% YoY, implying a PEG ratio broadly in the range of ~0.3–0.5x, which is relatively attractive given its growth profile. However, sustaining such elevated growth rates over the medium to long term remains a key assumption underpinning the current valuation.

It is also important to consider the increasing concentration of NVIDIA’s earnings within the Data Centre segment and among a small number of hyperscale customers. This introduces a degree of risk to valuation, as any slowdown in AI-related capital expenditure or changes in customer behaviour could lead to multiple compression.

From a strategic perspective, NVIDIA’s valuation reflects not only its current financial performance but also its perceived role as the foundational infrastructure layer for AI. As such, the market is pricing in continued dominance, sustained demand growth, and successful expansion into adjacent markets such as inference, enterprise AI, and software.

ConclusionNVIDIA trades at a premium valuation relative to both semiconductor and broader technology peers, supported by its exceptional growth, high margins, and strategic positioning within the AI ecosystem. While current multiples appear elevated on an absolute basis, they are partially justified by the company’s growth trajectory and platform economics. However, the sustainability of this valuation remains highly sensitive to the continuation of AI-driven demand and the company’s ability to maintain its technological and competitive leadership.

Market Statistics Table

Market Statistics – Interpretation

NVIDIA’s current market statistics reflect a company priced for continued dominance in the AI infrastructure space, with valuation metrics that incorporate both its exceptional recent performance and strong forward growth expectations.

The company’s market capitalisation of approximately $4.5 trillion places it among the most valuable companies globally, highlighting the market’s conviction in its central role within the AI ecosystem. This valuation is supported by a share price of $185.18, trading closer to the upper end of its 52-week range ($95.04 – $212.19), indicating sustained investor confidence despite some volatility following its rapid re-rating.

From an earnings perspective, NVIDIA’s historic EPS of $4.90 implies a trailing P/E ratio of 37.79x, which is elevated relative to traditional semiconductor peers. However, this multiple compresses significantly on a forward basis, with forecast EPS of $11.12 implying a prospective P/E of 16.65x. This sharp reduction reflects the market’s expectation of continued earnings expansion, driven by AI-related demand and operating leverage.

On an enterprise value basis, NVIDIA is valued at approximately $4.45 trillion, with an EV/Sales multiple of 20.6x and EV/EBITDA of 30.8x. These multiples are substantially above historical semiconductor averages, but are more consistent with high-growth platform companies. Importantly, the company’s EV/EBIT multiple of 31.4x suggests that the market is placing a premium on its profitability and scalability, particularly given its industry-leading margins.

Balance sheet strength is a key differentiator, with NVIDIA reporting net cash of approximately $54.1 billion. This strong liquidity position enhances financial flexibility and reduces risk, while also supporting its elevated valuation by lowering enterprise value relative to equity value.

From an asset-based perspective, NVIDIA’s net asset value (NAV) of $157.3 billion, or $6.47 per share, is significantly below its current share price. This indicates that the company’s valuation is overwhelmingly driven by future earnings potential rather than its current asset base, which is typical for high-growth technology companies.

Overall, NVIDIA’s market statistics suggest that investors are pricing in sustained high growth, continued margin strength, and long-term leadership in AI infrastructure. While valuation multiples appear elevated on a historical basis, the forward compression in earnings multiples indicates that much of the valuation premium is supported by strong expected earnings growth.

Price Target and Entry Point

Entry Point

We view pullbacks in NVIDIA toward the sub-$175 level as an attractive entry point for long-term investors. This range corresponds to recent support levels observed during periods of broader market volatility and temporary sentiment resets within the AI semiconductor complex. At these levels, risk-reward becomes increasingly favourable, with downside partially mitigated by sustained structural demand for AI compute and Nvidia’s entrenched position within the ecosystem.

Importantly, this entry point reflects a disciplined approach that avoids chasing momentum at elevated valuations, instead allowing for participation in the secular growth story while accounting for near-term execution risks, including supply chain constraints and potential variability in hyperscaler capital expenditure.

Price Target and Investment View

We assign a 12-month price target of $240, implying approximately 35–40% upside from the proposed entry range. This target sits modestly below prevailing Street consensus, reflecting a more conservative base case that incorporates potential industry frictions. Specifically, we assume continued strong earnings growth driven by AI infrastructure demand, offset by some degree of multiple compression as the market transitions from peak enthusiasm toward a more normalised valuation framework.

Our valuation implicitly captures a scenario in which Nvidia maintains its leadership in accelerated computing while navigating interim headwinds, including high-bandwidth memory (HBM) supply limitations and the potential for uneven demand pacing among large cloud customers. As such, the target does not rely on further multiple expansion, but rather on the durability of earnings growth and incremental scaling of AI-related revenues.

Positioning and Risk Considerations

Overall, this positioning reflects a constructive but measured outlook. While the long-term investment case remains compelling, we anticipate periods of volatility driven by supply-demand mismatches, competitive developments, and evolving market expectations. The proposed entry and target framework therefore balances structural conviction with tactical caution, providing a robust foundation for risk-adjusted returns within a high-expectation sector.