NVIDIA Earnings Would Be a Macro Moment for AI

NVIDIA is about to report its fourth-quarter fiscal 2026 earnings on the 25th of February, and once again, the entire market would be watching. Over the past two years, NVIDIA earnings have transformed from a semiconductor update into a macro event. The company now sits at the heart of the global AI buildout, which means its results influence not just chip stocks, but cloud providers, data centre operators, and even broader equity sentiment.

This quarter is unlikely to be about whether NVIDIA beats expectations. It is about whether management can convince investors that the AI growth cycle remains structural rather than peaking.

Q3 Recap: The AI Engine Is Still Running Hot

In Q3 FY2026, NVIDIA delivered another exceptional quarter. Revenue reached $57 billion, up 62% year over year, while earnings per share climbed 60% to $1.30. Gross margins expanded to 73.4%, highlighting the pricing power embedded in its AI-focused product mix.

The real story was once again the Data Centre segment, which generated $51.2 billion in revenue, up 66% annually. Demand for the Blackwell architecture remained extremely strong. Yet despite these numbers, the stock failed to rally and has been trading sideways over the past three months. Expectations have risen alongside performance, and markets are increasingly pricing in perfection.

Q4 Expectations: Strong Numbers Priced in but Guidance Is the Key

For Q4 FY2026, consensus estimates point to revenue of roughly $65-66 billion, earnings per share near $1.46, and gross margins are expected to approach 75%.

Data Center revenue is projected to approach $60 billion, while Gaming is expected to remain stable around the $4 billion level.

Given NVIDIA’s track record of exceeding expectations, a beat would not be surprising. The more important variable will be forward guidance. Investors now care less about backward-looking results and more about visibility into the next leg of AI spending.

The Real Catalyst: Q1 FY2027 Guidance

The market’s reaction will likely hinge on Q1 FY2027 guidance. Revenue is expected to approach $75 billion next quarter, implying sustained acceleration. Broader fiscal year projections suggest revenue growth above 60% and earnings growth potentially near triple digits.

If management signals continued hyperscalers demand, expanding enterprise adoption, and strong Blackwell ramp visibility, the stock could break out of its recent consolidation. If guidance appears more measured, we could see another sell-the-news move.

This is no longer a story about surprise beats. It is a story about durability.

Structural Evolution or Front-Loaded Capex Cycle?

The core debate centres on AI infrastructure spending. Major cloud players such as Microsoft, Amazon, Alphabet, and Meta continue to invest aggressively in GPUs.

The question is whether this represents a multi-year structural transition in computing architecture or a front-loaded capex cycle.

Investors will listen closely for commentary on multi-year contracts, sovereign AI demand, enterprise AI integration, and workload diversification beyond venture-funded AI startups. The broader the demand base becomes, the more sustainable the growth story.

NVIDIA’s Blackwell Ramp and Rubin Roadmap

The Blackwell architecture is currently the primary growth driver. Investors want clarity on production scaling, supply constraints, and early traction for Blackwell Ultra.

Equally important is the roadmap toward the next-generation Rubin architecture. Smooth product transitions without margin compression would reinforce confidence in NVIDIA’s execution.

Maintaining gross margins in the mid-70% range during these cycles is critical to supporting current valuation levels.

NVIDIA Competition Heats Up Amid Expanding AI Chip Capacity

Given that packaging and advanced manufacturing capacity expands, supply bottlenecks may ease. While that could unlock additional revenue, it may also reduce scarcity-driven pricing power.

Competitive risks remain present. Advanced Micro Devices and Intel continue investing in AI accelerators. Meanwhile, hyperscalers are increasingly developing in-house silicon solutions.

That said, NVIDIA’s CUDA ecosystem remains a powerful moat. Software integration, developer adoption, and performance optimization create switching costs that are not easily replicated.

NVIDIA and the Circular AI Deals Debate

Another issue gaining attention is the concept of “circular AI deals,” where capital flows between AI startups, cloud providers, and infrastructure players create concentrated GPU purchasing loops.

If demand is largely driven by venture-backed capital recycling through the ecosystem, risk increases. However, if demand is increasingly coming from enterprise deployments in healthcare, automotive, finance, and government, the growth base becomes far more durable.

Management commentary in Q4 will therefore be important. Investors will be looking for greater transparency on customer concentration, workload mix, and the balance between startup-driven demand and large-scale enterprise commitments. That distinction could prove critical in assessing the sustainability of the AI infrastructure cycle.

Stock Performance and Valuation Reset

After a powerful rally earlier in the AI cycle, NVIDIA shares have entered a period of consolidation. Valuation multiples have compressed relative to peak enthusiasm levels, even as earnings continue to grow.

This reset may actually strengthen the long-term setup. If earnings compound as projected through FY2027 and beyond, current levels could represent an attractive entry point.

Technically, the stock remains range-bound, but the fundamentals support higher price levels over the long-term. Once resistance of $194.49 is cleared, a rally to the all-time high of $212.19 is likely to follow. Over the next 12 months, a share price advance to $230 appears achievable.

Source: TradingView. Nvidia daily price chart as of 17 February 2026.

Ray Dalio Increases NVIDIA Holdings as Macro Investors Back Structural AI Growth

Recent institutional positioning suggests continued confidence. Ray Dalio, founder of Bridgewater Associates, recently increased holdings in NVIDIA, according to the latest 13F files.

While hedge fund positioning should never be the sole investment thesis, Dalio’s move is noticeable. As a macro-focused investor, his increased exposure signals confidence in the structural nature of AI infrastructure spending rather than viewing it as a short-term speculative cycle.

When long-term macro investors allocate capital to a name like NVIDIA, it reinforces the view that AI may represent a foundational change in global productivity rather than a temporary thematic trade.

Conclusion:

NVIDIA’s Q4 FY2026 earnings will likely show strong top-line growth, dominant Data Center performance, and healthy margins. The key issue is whether management can convincingly argue that AI capex is still in its early innings.

The stock no longer reacts simply to earnings beats. It reacts to forward visibility, ecosystem strength, and confidence in sustained compounding. If guidance reinforces structural demand and broadening adoption, sentiment could improve substantially. If caution creeps in, volatility and subdued price action is likely to persist.

Key Takeaways

• Q4 results matter less than forward guidance.
• AI demand durability remains the core debate.
• Institutional investors are increasing exposure.