AI Chip Wars 2026: NVIDIA vs TSMC vs Broadcom vs Intel vs AMD - A Financial Deep Dive
The five largest semiconductor companies filed their most recent annual results between December 2025 and April 2026, reporting $489.7 billion in aggregate revenue. The distribution of that revenue and the divergence in profitability beneath it, tells a striking story about where value is being created in the AI hardware stack.
This article breaks down the financial data from all five annual reports: NVIDIA FY2026, TSMC FY2025, Broadcom FY2025, Intel FY2025, and AMD FY2025. Every figure is GAAP and sourced directly from primary filings submitted to the U.S. Securities and Exchange Commission. Fiscal-year definitions differ across the group: NVIDIA's concludes in late January, Broadcom's on the Sunday nearest October 31, and the remaining three in late December.
The Scoreboard: Five Companies at a Glance
| Company | Revenue | YoY Growth | Gross Margin | Net Income | AI/DC Revenue |
|---|---|---|---|---|---|
| NVIDIA (FY2026) | $215.9B | +65% | 71.1% | $120.1B | $193.7B (90%) |
| TSMC (FY2025) | $122.4B | +36% | 59.9% | $55.2B | ~$71.0B (58%) |
| Broadcom (FY2025) | $63.9B | +24% | 67.8% | $23.1B | $20.0B (31%) |
| Intel (FY2025) | $52.9B | -0.5% | 34.8% | -$0.3B | $16.9B (32%) |
| AMD (FY2025) | $34.6B | +34% | 49.5% | $4.3B | $16.6B (48%) |
Source: Company annual reports / Form 10-K filings.
Three numbers jump out immediately:
- NVIDIA's $120.1B net income exceeds the combined net income of TSMC, Broadcom, AMD, and Intel ($82.4B)
- Broadcom has overtaken Intel in total revenue ($63.9B vs $52.9B)
- Intel's net loss narrowed from -$18.8B to -$0.3B after deep restructuring
Revenue: NVIDIA Is Now 4x Intel's Size
NVIDIA's $215.9B in FY2026 revenue is approximately 1.7x that of TSMC ($122.4B), the foundry that manufactures NVIDIA's products and more than 4x Intel's $52.9B. This represents a major shift from 2021, when NVIDIA ranked fourth in the group by revenue.
The driver is straightforward: Data Center revenue reached $193.7B, up 68% year-over-year, as Hopper and Blackwell accelerators became primary infrastructure for AI training and inference workloads. That single segment accounts for roughly 90% of NVIDIA's total revenue.
TSMC's 36% increase to $122.4B reflects a structurally different revenue model. As the foundry supplying NVIDIA, AMD, Apple, and Broadcom, TSMC captures demand across the AI value chain without direct exposure to competition at the chip-design level. Its High Performance Computing platform reached 58% of revenue, approximately $71B.
How Broadcom Overtook Intel
Broadcom's rise to $63.9B was supported by two contributors:
- AI semiconductor revenue increased 65% to $20B, driven by custom accelerators (XPUs) for hyperscalers including Google and Meta
- Infrastructure software revenue reached $27B, up 26%, reflecting VMware Cloud Foundation adoption
This combination of leading-edge silicon and recurring software revenue differentiates Broadcom's profile within the group.
AMD vs Intel in the Datacenter
AMD's Data Center segment reached $16.6B (up 32%), while Intel's DCAI segment reported $16.9B. The proximity of these figures, despite Intel's larger overall revenue, indicates continued share migration toward AMD. Growth was driven by 5th-generation EPYC processors and Instinct MI350-series GPUs gaining cloud adoption.
Margins: The Real Competitive Separator
Gross margin is the primary indicator of competitive differentiation in semiconductors. The spread across this group is enormous:
| Company | Gross Margin | Operating Margin | Net Margin |
|---|---|---|---|
| NVIDIA | 71.1% | 60.4% | 55.6% |
| Broadcom | 67.8% | 39.9% | 36.2% |
| TSMC | 59.9% | 50.8% | 45.1% |
| AMD | 49.5% | 10.7% | 12.5% |
| Intel | 34.8% | -4.2% | -0.5% |
Why NVIDIA's 71% Gross Margin Is Defensible
NVIDIA's margin is more typical of enterprise software than hardware. It is attributable to:
- Limited substitutability of Hopper and Blackwell GPUs for high-end AI workloads
- CUDA ecosystem switching costs built over more than a decade
- Pricing power that persists even as competing silicon becomes available
The margin declined approximately 3.9 points from 75.0% in the prior year, partly due to U.S. export restrictions on China-bound H20 products.
TSMC: 59.9% Margin as a Foundry Is Remarkable
A 59.9% gross margin is notable for a business that operates physical fabrication facilities, one of the most capital-intensive segments in technology. The explanation is process leadership: 3nm and 2nm nodes maintain an estimated 18-to-24-month advantage over competitors, enabling premium pricing.
For context, Intel also operates fabs and reported 34.8%. The 25-point differential is attributable to TSMC's technology lead and underutilization within Intel's manufacturing base.
Intel's Turnaround: Progress and Constraints
Intel's operating margin improved from -22% to -4.2%, and its net loss narrowed from $18.8B to $0.3B. The improvement reflects:
- Restructuring charges falling to $2.2B from $6.9B
- Headcount reduction to approximately 85,100 from ~108,900
- Gross margin recovery to 34.8%
A structural constraint remains: at 34.8% gross margin, gross profit is still insufficient to fully fund both R&D ($13.8B) and capital expenditure ($14.6B). The trajectory is positive, but conversion to sustained profitability depends on margin improvement, AI product traction, and process competitiveness.
AI Revenue Exposure: How Much Does Each Company Earn From AI?
The proportion of revenue derived from AI and datacenter segments provides a quantifiable measure of each company's progression toward AI-driven demand. The combined AI and datacenter revenue across the five companies totals $318.2B, with NVIDIA accounting for approximately 61% of that figure.
- NVIDIA: 90% of revenue from AI. Approximately 90% of NVIDIA's revenue is derived from AI and datacenter segments. This level of concentration supports current growth but also represents the company's principal strategic risk.
- Broadcom: $20B in AI chip revenue. Broadcom's AI semiconductor revenue increased 65% to $20B, supported by custom accelerators (XPUs) supplied to hyperscalers and by AI networking silicon such as its Tomahawk and Jericho switch portfolios.
- TSMC: AI exposure across every customer. With 58% of revenue derived from HPC, TSMC maintains a defensible position as a shared manufacturing supplier. NVIDIA, AMD, Apple, and Broadcom each rely on TSMC's leading-edge nodes.
- Intel vs AMD: comparable datacenter scale. Intel's DCAI segment reported $16.9B while AMD's Data Center segment reported $16.6B, up 32%. The proximity of these figures indicates continued share migration toward AMD.
For a detailed market-sizing breakdown of the AI chip sector including forecasts, segmentation, and competitive landscape analysis, TrendX Insights publishes the AI Chip Market Report covering the broader industry beyond these five companies.
R&D Spending: Absolute Dollars vs Intensity
| Company | R&D Spend | R&D as % of Revenue |
|---|---|---|
| NVIDIA | $18.5B | 8.6% |
| Intel | $13.8B | 26.1% |
| Broadcom | $11.0B | 17.2% |
| AMD | $8.1B | 23.4% |
| TSMC | ~$8.0B | 6.5% |
NVIDIA now leads in absolute R&D for the first time, at $18.5B. Intel retains the highest R&D intensity at 26.1% of revenue, but that reflects its smaller revenue base rather than a larger absolute commitment.
The relevant measure is efficiency: how effectively each R&D dollar converts into premium-priced products.
Capex and Revenue Per Employee: Fabless vs Foundry
The structural distinction between fabless designers and integrated manufacturers is most visible in two metrics.
Revenue per employee:
- NVIDIA: $5.14M (~42,000 employees)
- Broadcom: $1.94M (~33,000)
- TSMC: $1.35M (90,557)
- AMD: $1.12M (~31,000)
- Intel: $0.62M (85,100)
NVIDIA generates approximately 8x Intel's revenue per employee. A workforce of roughly 42,000 produced $215.9B in revenue, the operating leverage of a fabless model that retains chip design while outsourcing manufacturing to TSMC.
Capital expenditure:
- TSMC: $40.9B (advanced-node fabs in Taiwan, Arizona, Japan)
- Intel: $14.6B
- NVIDIA: $6.0B
- AMD: $1.0B
- Broadcom: $0.6B
TSMC's $40.9B in capex represents precisely the cost structure that the fabless model is designed to avoid.
What the 2026 Data Means
The five filings collectively indicate a market where financial returns are increasingly concentrated. Competitive positions are differentiated by profitability and revenue mix rather than revenue scale alone.
- NVIDIA holds a dominant position in AI accelerators, supported by 71.1% gross margins and the CUDA ecosystem
- TSMC occupies a structurally defensible position as the principal advanced-node foundry supplier
- Broadcom has differentiated through custom AI silicon plus recurring VMware software revenue
- AMD presents the most balanced risk-reward profile, with datacenter revenue reaching parity with Intel's
- Intel has demonstrated measurable cost-reduction progress; conversion to sustained profitability is the next requirement
Gross margin is the primary analytical indicator of strategic flexibility. Companies above ~60% retain capacity to fund next-generation development while returning capital. Companies at ~35% must allocate a greater share of resources to margin recovery.
The principal risk across the group is concentration of AI infrastructure demand. The principal opportunity is continued expansion of that demand. The durability of that demand remains the central variable for the sector.
Key Metrics Summary
| Metric | Value |
|---|---|
| NVIDIA FY2026 revenue | $215.9B (+65% YoY) |
| NVIDIA net income | $120.1B (55.6% margin) |
| NVIDIA AI/datacenter share | 90% of total ($193.7B) |
| TSMC FY2025 revenue | $122.4B (+36% YoY) |
| Intel net loss (narrowed) | -$0.3B, from -$18.8B prior year |
| Broadcom AI semiconductor revenue | $20.0B (+65% YoY) |
| AMD datacenter revenue | $16.6B (48% of total, +32%) |
| NVIDIA revenue per employee | $5.14M per head |
| TSMC capital expenditure | $40.9B, largest in group |
| Combined five-company revenue | $489.7B |
Related Research
The competitive dynamics examined in this article are part of a broader semiconductor landscape that extends well beyond the five largest companies. As AI inference moves from cloud datacenters to devices at the network periphery, a parallel market for purpose-built silicon is expanding rapidly. For readers tracking this shift, TrendX Insights also covers the Edge AI Chip Market, which analyzes the competitive landscape, growth drivers, and market forecasts for processors designed specifically for on-device AI workloads.
Sources
All financial data sourced directly from public annual filings:
- NVIDIA -- FY2026 Annual Report / Form 10-K (fiscal year ended Jan 25, 2026)
- AMD -- FY2025 Form 10-K (fiscal year ended Dec 27, 2025)
- Intel -- FY2025 Form 10-K (fiscal year ended Dec 27, 2025)
- Broadcom -- FY2025 Form 10-K (fiscal year ended Nov 2, 2025)
- TSMC -- 2025 Annual Report (fiscal year ended Dec 31, 2025)
Disclosure: All financial data is sourced directly from public annual filings submitted to the U.S. Securities and Exchange Commission. This content is for informational purposes only and does not constitute investment advice.
Research by Shyam Gupta, Senior Research Analyst at TrendX Insights -- data-driven market intelligence and industry analysis.