Three companies in the same S&P 500 semiconductor sub-industry, but they occupy fundamentally different positions in the AI infrastructure cycle. NVIDIA became the gravitational center of the industry with the Hopper architecture launch in 2023 — Compute & Networking segment revenue grew from $4.5B in Q1 2023 to $74.6B in Q1 2026, roughly 17x in 13 quarters. The engine behind that is CUDA (Compute Unified Device Architecture), NVIDIA's software platform for parallel computing. AI researchers and engineers have spent years building code that runs on NVIDIA GPUs via CUDA. Switching to a competitor's GPU would require rewriting that entire codebase. That switching cost is the moat — a structural barrier that makes the business something more than a chip company. Once an organization is deep in the CUDA ecosystem, exit is expensive.
Broadcom took a different path. Its $86.2B acquisition of VMware hedges semiconductor cyclicality with software subscription revenue — Infrastructure Software segment margins of 70–78% consistently exceed the Semiconductor Solutions segment's 55–60%. Broadcom's October fiscal year end means the latest available data here is Q4 2025 (AVGO FQ1 2026, ended February 1, 2026): $19.3B revenue, up 29% year-over-year. AMD survived between the two giants by taking server CPU share from Intel with its EPYC processors, while its AI GPU business (Instinct MI300 series) began contributing from 2024 onward — but the gap to NVIDIA on AI compute has not closed. What separated the three companies across these 13 quarters was not raw engineering capability. It was the depth of ecosystem lock-in.
On capital efficiency, Broadcom leads by a wide margin — free cash flow (FCF) margin has held at 40–50% consistently. NVIDIA is the stranger case: despite explosive revenue growth, it kept capex below 2–3% of revenue while returning $40.4B to shareholders in FY2026 alone through buybacks. AMD's FCF margin improved from single digits in early 2023 to 25% in Q1 2026, but the absolute scale remains incomparable to the other two.
Q2 2025 was the quarter where all three hit the same external shock simultaneously — US export controls forced NVIDIA to absorb $4.5B in inventory losses and AMD $800M. How fast each recovered from that shock is one of the cleaner tests of structural resilience in this dataset.
Fiscal Year Alignment
The three companies have different fiscal year end dates, so direct comparison of quarterly data requires a mapping step. All data in this report uses Calendar Quarter (CQ) labels. All section labels below follow CQ convention.
| Calendar Quarter | AMD Fiscal Quarter | Broadcom Fiscal Quarter | NVIDIA Fiscal Quarter | Notes |
|---|---|---|---|---|
| Q1 2023 | FQ1 2023 (Apr 1) | FQ2 2023 (Apr 30) | FQ1 2024 (Apr 30) | AVGO·NVDA lag by ~1 month |
| Q4 2023 | FQ4 2023 (Dec 30) | FQ1 2024 (Feb 4) ⚠ | FQ4 2024 (Jan 28) | AVGO FQ1 2024 = 14-week quarter (53-week fiscal year) |
| Q3 2024 | FQ3 2024 (Sep 28) | FQ4 2024 (Nov 3) ⚠ | FQ3 2025 (Oct 27) | AVGO FQ4 2024 = final quarter of 53-week fiscal year |
| Q4 2025 | FQ4 2025 (Dec 27) | FQ1 2026 (Feb 1) | FQ4 2026 (Jan 25) | Latest available AVGO data |
| Q1 2026 | FQ1 2026 (Mar 28) | N/A (FQ2 2026 not yet filed) | FQ1 2027 (Apr 26) | No Broadcom data available |
Revenue & Growth
Revenue scale and growth velocity map directly onto where each company sits in the AI infrastructure cycle. NVIDIA's inflection came in Q2 2023 with the start of Hopper shipments — from $8.3B that quarter to $81.6B in Q1 2026, roughly 10x in under three years. Broadcom's revenue jumped in Q4 2023 following the VMware acquisition close, then continued expanding steadily. The latest available quarter is Q4 2025, where Broadcom reported $19.3B in revenue, up 29% year-over-year. Calendar Q1 2026 data is not available — the corresponding AVGO FQ2 2026 had not been filed at the time of writing. AMD struggled in 2023 as the PC market downturn dragged the Client segment sharply lower, but recovered from 2024 onward driven by Data Center growth.
Broadcom's growth has two separate drivers. On the semiconductor side, demand grew for custom AI accelerators — chips called ASICs (Application-Specific Integrated Circuits), designed from scratch for one customer's specific workload rather than built as general-purpose hardware. Google's TPU (Tensor Processing Unit) and Meta's MTIA are prominent examples. Broadcom designs and supplies these. On the software side, the VMware customer base was converting from perpetual licenses to subscriptions, generating recurring revenue.
AMD's Data Center growth came primarily from taking x86 server CPU market share from Intel with its EPYC processor line. Its AI GPU business (Instinct MI300 series) started contributing meaningfully from 2024, but the gap to NVIDIA on AI compute workloads remains large.
| Quarter | NVIDIA | Broadcom | AMD |
|---|
Segment Decomposition
Consolidated margins do not show what each segment actually earns. NVIDIA has two reportable segments: Compute & Networking (data center GPUs for AI training and inference, plus networking chips like InfiniBand — a high-speed, low-latency interconnect standard used to link GPUs within large AI clusters — and Spectrum-X Ethernet, NVIDIA's enhanced Ethernet product optimized for AI workloads) and Graphics (gaming GPUs for PC and laptop, plus professional visualization cards).
Broadcom splits into Semiconductor Solutions (AI accelerator chips, networking ASICs, storage controllers, and other hardware) and Infrastructure Software (VMware cloud management platform, plus CA Technologies — enterprise IT management software — and Symantec — cybersecurity software — both acquired before VMware).
AMD operated four segments through most of this period: Data Center (EPYC server CPUs and Instinct AI GPUs), Client (Ryzen CPUs for laptops and desktops), Gaming (Radeon consumer GPUs and console chip supply), and Embedded (FPGAs and SoCs for industrial, communications, and aerospace use, obtained via the Xilinx acquisition in 2022 — Xilinx was the leading FPGA maker before AMD purchased it for $49B). From Q1 2025 onward, AMD merged Client and Gaming into a single segment. The Embedded segment anchored profitability above 40% operating margin; the Client segment was the drag, falling as low as -23% in early 2023 during the PC downturn.
Because these chips serve specialized industrial customers rather than consumer markets, demand is less volatile quarter-to-quarter — but the segment runs on an inventory correction cycle that leads the broader economy. The sharp decline in Embedded revenue through 2023–2024 was exactly that: customers drawing down excess inventory before placing new orders. NVIDIA switched to a new segment reporting structure in Q1 2026 — this report retains the prior structure for consistency across all 13 quarters.
Broadcom's Infrastructure Software segment grew from 21% of total revenue before the VMware acquisition close (Q4 2023) to over 40% afterward. VMware is the dominant vendor of virtualization software for enterprise data centers — virtualization means running multiple virtual servers on a single physical machine, which is foundational to how modern data centers operate. Broadcom converted VMware's perpetual licensing model to subscriptions after the acquisition, shifting the revenue pattern from lumpy to recurring.
| Quarter | C&N Revenue ($M) | C&N Margin | Graphics Revenue ($M) | Graphics Margin |
|---|
| Quarter | Semi Solutions ($M) | Semi Margin | Infra SW ($M) | SW Margin |
|---|
| Quarter | Data Center ($M) | DC Margin | Client/Gaming ($M) | CG Margin | Embedded ($M) | Emb Margin |
|---|
Margin Dynamics & SBC
NVIDIA's margin trajectory has no precedent in the semiconductor industry. Gross margin expanded from the low-60% range in early 2023 to the mid-70% range by late 2025. Two things drove this. First, product mix shifted toward higher-margin Hopper and Blackwell systems. Second, NVIDIA increasingly sells in "AI Factory" configurations — not individual GPU chips, but complete rack-scale systems (a rack is a standard data center cabinet; rack-scale means the entire rack, containing hundreds of GPUs plus networking and cooling, designed and sold as a single integrated unit). The average selling price (ASP) for a rack-scale system is dramatically higher than for individual chips.
Broadcom's margins rose structurally as VMware's high-margin subscription revenue grew to over 40% of consolidated sales. AMD's margins have improved but the gap to NVIDIA on gross margin has not closed. Stock-based compensation (SBC) — the cost of paying employees in stock or options rather than cash, which appears as a GAAP expense but involves no cash outflow — has grown at all three companies, with NVIDIA's AI talent competition the primary driver of absolute dollar increases.
Broadcom absorbed VMware integration restructuring charges of $712M in Q4 2023 and $345M and $361M in Q1 and Q2 2024. These pushed GAAP (Generally Accepted Accounting Principles) operating margins temporarily lower. Stripping them out under Non-GAAP (adjusted operating income, which excludes SBC, acquisition-related amortization, and restructuring) reveals the underlying business was far more profitable than the GAAP line suggested during that period.
For AMD, the single largest Non-GAAP adjustment is amortization of acquisition-related intangibles — assets from the Xilinx and other acquisitions written down over time at $551M–$823M per quarter. This is a GAAP expense with no cash impact.
| Quarter | NVIDIA | Broadcom | AMD |
|---|
Capital Intensity & Cash Flow
The core financial advantage of the fabless model — designing chips but outsourcing manufacturing to TSMC — is low capital expenditure. All three companies run capex-to-revenue ratios of 1–4%, compared to 20–30% for companies that own and operate fabrication facilities. Broadcom is the most capital-efficient of the three: capex below 1% of revenue while sustaining 40–50% FCF margins. NVIDIA managed to keep capex growth restrained even as revenue surged, achieving remarkable FCF margins relative to its revenue scale. AMD's cash flow became complicated for one quarter following the ZT Systems acquisition in Q1 2025, but FCF from continuing operations improved steadily throughout the period.
FCF = Operating Cash Flow minus Capital Expenditure. That is the cash available for dividends, buybacks, and acquisitions. A 40%+ FCF margin, as Broadcom sustains, means $40 of every $100 in revenue converts to free cash. AMD's single-digit FCF margins in early 2023 meant the business was generating very little freely deployable cash relative to its revenue — most of the operating cash was cycling back into the business.
Q2 2025's FCF margin of 29% — the tracked-period low — was also not a structural problem. It reflected deliberate inventory build ahead of the Blackwell Ultra (GB300) product transition — GB300 is the next-generation Blackwell architecture, offering improved performance per watt over the original GB200. On the same quarter's earnings call, Colette disclosed that inventory increased sequentially from $11B to $15B to support Blackwell and Blackwell Ultra production ramp. Cash did not disappear — it converted into finished goods inventory. The Q3 revenue guidance of $54B, more than $7B above Q2, was the demand confirmation that validates that inventory build.
Data verification: Initial FCF figures contained errors corrected against SEC primary filings. NVDA Q1 2025 ($25,751M→$19,983M), Q3 2025 ($22,316M→$25,606M), Q4 2025 ($55,583M→$34,100M). AMD Q4 2025 also corrected ($2,378M→$2,082M) after separating continuing from discontinued operations following the ZT Manufacturing divestiture.
| Quarter | NVDA FCF | NVDA FCF Margin | AVGO FCF | AVGO FCF Margin | AMD FCF | AMD FCF Margin |
|---|
Capital Allocation
Capital allocation decisions reveal management priorities more directly than almost any other metric. NVIDIA scaled shareholder returns alongside revenue — FY2026 buybacks of $40.4B were 19% above the prior year's $34B. Broadcom maintained a steady dividend program ($11.1B annually in FY2025) following the $86.2B VMware acquisition, managing the balance between debt service, dividends, and remaining buyback capacity. AMD concentrated on M&A — the ZT Systems acquisition at $4.4B — while keeping buybacks modest at $1.3B.
| Company | Year | Revenue | Capex | R&D | R&D% | Buyback | Dividend |
|---|---|---|---|---|---|---|---|
| NVIDIA | FY2024 | 60,922 | 1,085 | 8,675 | 14.2% | 9,746 | 395 |
| FY2025 | 130,497 | 2,831 | 12,914 | 9.9% | 34,015 | 834 | |
| FY2026 | 215,938 | 4,510 | 18,497 | 8.6% | 40,388 | 974 | |
| Broadcom | FY2023 | 35,819 | 525 | 5,257 | 14.7% | 5,824 | 7,645 |
| FY2024 | 51,574 | 516 | 9,314 | 18.1% | 7,176 | 9,814 | |
| FY2025 | 63,887 | 711 | 10,981 | 17.2% | 2,450 | 11,142 | |
| AMD | FY2023 | 22,680 | 546 | 5,872 | 25.9% | 985 | 0 |
| FY2024 | 25,785 | 636 | 6,456 | 25.0% | 862 | 0 | |
| FY2025 | 34,639 | 974 | 8,091 | 23.4% | 1,316 | 0 |
NVIDIA's R&D intensity has fallen sharply from 14.2% in FY2024 to 8.6% in FY2026 — R&D spending in absolute dollars increased, but revenue grew much faster. Key M&A events: Broadcom acquired VMware ($86.2B, FY2024); AMD acquired ZT Systems ($4.4B, FY2025, then divested the manufacturing unit for $2.4B); NVIDIA's attempted Arm acquisition failed ($1.35B termination fee, FY2023).
Loss Segment Efficiency
Of the three companies, only AMD reported a full-year operating loss in any segment — the Client segment posted -$46M in 2023 as the PC market downturn hit. NVIDIA and Broadcom maintained operating profitability across all segments throughout the tracked period. Note: AMD's Data Center segment also posted a quarterly loss of -$155M in Q2 2025, but this was caused by a single one-time event — the $800M inventory write-down tied to MI308 export controls, not a structural decline in the business.
| Year | Segment | Revenue ($M) | Op. Income/Loss ($M) | Loss/Revenue | Trend |
|---|---|---|---|---|---|
| FY2022 | Client | 6,201 | +1,190 (profit) | $0.81 | Baseline |
| FY2023 | Client | 4,651 | −46 (loss) | $1.01 | Deteriorated |
| FY2024 | Client & Gaming* | 9,649 | +1,187 (profit) | $0.88 | Recovered |
*Client and Gaming merged from FY2024. AMD Q3 2023 returned to quarterly profitability (+$140M); full-year loss minimized.
Notable Anomalies
These are one-time items that distort direct quarter-to-quarter comparisons. Q2 2025 was particularly unusual — all three companies absorbed the same external shock simultaneously, when the US tightened semiconductor export controls.
Intra-Sector Positioning
The same semiconductor sub-industry classification covers three companies with fundamentally different competitive positions and revenue models. Without understanding the differences, the financial comparisons generate misleading conclusions.
High-performance AI GPUs became a primary target of these controls from 2022 onward. The H20 (NVIDIA) and MI308 (AMD) export restrictions are the most consequential cases in this dataset. All three companies have China revenue exposure, so each tightening of these rules hits directly. Q2 2025, when all three recognized export control losses simultaneously, is the clearest demonstration of that shared vulnerability.
| Dimension | NVIDIA | Broadcom | AMD |
|---|---|---|---|
| Core Moat | CUDA software ecosystem (5M+ developers) | VMware customer base + custom ASIC design capability | Only x86 competitor to Intel |
| AI Benefit Path | Near-monopoly GPU supply → direct beneficiary | Custom ASIC design + AI networking → indirect beneficiary | EPYC CPU share gains + Instinct GPU → partial beneficiary |
| Revenue Model | Hardware + software stack bundle | Semiconductor + software subscription (VMware) hybrid | Semiconductor-only (minimal software revenue) |
| Cycle Hedge | Low (near-monopoly demand position) | High (SW subscriptions buffer semiconductor cycle) | Low (residual PC and gaming cycle exposure) |
| Key Risks | CUDA ecosystem defection / export control expansion | VMware customer attrition / debt load | AI GPU competition intensification / Intel recovery |
Management Commentary — Context Behind the Numbers
Financial figures show what happened. Earnings call commentary shows why it happened and what management expects next. The three quarters below connect directly to the key anomalies in this report.
Jensen simultaneously emphasized Blackwell's acceleration. Blackwell contributed approximately 70% of Data Center compute revenue in Q1, with the transition from Hopper nearly complete. This quarter also produced the first concrete numbers on reasoning AI demand — Microsoft processed 100 trillion tokens in Q1, a five-fold increase year-over-year. Jensen explained that reasoning models (AI that works through problems step by step rather than giving a one-shot response) consume 1,000 times more tokens per task than older chatbot-style models. Grace Blackwell (GB200) — a rack-scale system combining NVIDIA's Grace CPU with Blackwell GPUs connected via NVLink (NVIDIA's proprietary high-bandwidth chip-to-chip interconnect, offering far higher bandwidth than PCIe) — was specifically designed for this compute profile. The Q2 revenue guidance of $45B — achievable despite absorbing $8B in H20 headwind — was itself evidence of non-China Blackwell demand strength.
The call also produced Jensen's clearest rebuttal of the ASIC-versus-GPU competition question. BofA analyst Vivek Arya asked whether Broadcom's growing ASIC business represented a threat. Jensen's response: "Many projects are started. Very few products go into production. Accelerated computing is a full-stack co-design problem." His argument is that AI model architectures are changing too quickly for fixed-function ASICs to keep pace — a chip designed for today's model architecture may be poorly suited to the next generation.
Jensen cited three structural NVIDIA advantages: the same programming model available across every cloud, edge device, and robotics platform; acceleration of the entire AI pipeline from data processing through pre-training, post-training, and inference; and performance-per-watt economics that translate directly into customer revenue. He also quantified NVIDIA's share of a 1-gigawatt AI factory for the first time: approximately $35B of the total $50–60B factory cost.
On the Embedded segment, Lisa Su noted demand was strengthening in test and emulation, aerospace and defense, and industrial vision and healthcare. She cited over $14B in design wins — a "design win" is when a customer formally selects a chip for a future product, locking in multi-year revenue — on an annualized basis as evidence of structural recovery rather than a temporary bounce.
The most candid moment came on ROCm — AMD's software stack for AI workloads, the direct counterpart to NVIDIA's CUDA. Lisa Su acknowledged: "There is always more work to do, particularly for the new workloads where training and inference are converging with reinforcement learning." That is a clear admission that the software ecosystem gap to CUDA requires ongoing investment. The OpenAI 6-gigawatt infrastructure contract announced this quarter is the most significant lever AMD has to close that gap — at that scale, AMD's software has to work, which creates the deployment experience that builds ecosystem momentum.
| Quarter | Company | Date | Key Usage |
|---|---|---|---|
| Q1 2025 | NVIDIA | May 28, 2025 | H20 full loss breakdown, Blackwell ramp pace, reasoning AI token demand scale |
| Q2 2025 | NVIDIA | August 27, 2025 | FCF trough cause (inventory $11B→$15B), Jensen ASIC rebuttal, AI factory economics ($35B/$50–60B) |
| Q3 2025 | AMD | Late October 2025 | Data Center recovery confirmed (MI308-excluded), Embedded demand recovery, Lisa Su on ROCm gap |
Glossary
| Term | Full Name | What It Means |
|---|---|---|
| YoY | Year-over-Year | Growth rate compared to the same quarter one year earlier |
| FCF | Free Cash Flow | Operating Cash Flow minus Capital Expenditure. Cash available for dividends, buybacks, and acquisitions after running the business and investing in infrastructure. |
| FCF Margin | FCF / Revenue | FCF divided by revenue. How many cents of freely usable cash are generated per dollar of revenue. |
| GAAP | Generally Accepted Accounting Principles | US standard accounting rules. Includes all costs: stock-based compensation, depreciation, restructuring charges, acquisition amortization. |
| Non-GAAP | Adjusted Operating Income | Adjusted operating income. Excludes SBC, acquisition-related amortization, and restructuring charges. Presented by management as a cleaner view of recurring profitability. |
| SBC | Stock-Based Compensation | The cost of paying employees in stock or options. It shows up as a GAAP expense but involves no cash outflow, which is why GAAP margins are lower than Non-GAAP. |
| Capex | Capital Expenditure | Spending on physical assets. For fabless companies, this is research infrastructure and office facilities rather than manufacturing equipment. |
| OCF | Operating Cash Flow | Cash generated from the core business operations before capital spending. More reliable than net income as a cash measure because it excludes non-cash depreciation charges. |
| ASP | Average Selling Price | Average price per unit sold. Rises when product mix shifts toward higher-end products; falls during inventory clearance periods. |
| Fabless | Fab-less | A chip company that designs semiconductors but outsources manufacturing to a foundry like TSMC. Core advantage: no factory capital expenditure. |
| ASIC | Application-Specific Integrated Circuit | A chip designed from scratch for one specific application rather than general use. Google's TPU and Meta's MTIA are prominent examples. Broadcom designs and supplies these for hyperscale customers. |
| CUDA | Compute Unified Device Architecture | NVIDIA's parallel computing software platform. The de facto standard for AI training and inference. The 5M+ developer ecosystem is NVIDIA's primary competitive moat — switching away requires rewriting years of accumulated code. |
| BIS | Bureau of Industry and Security | Bureau of Industry and Security — the US Commerce Department division that administers export controls. The H20 and MI308 restrictions were implemented through BIS. |
| DTL | Deferred Tax Liability | Deferred Tax Liability. A future tax obligation recognized on the balance sheet today. In Broadcom's case, triggered by an intra-group IP transfer that created a taxable event. |
| CAMT | Corporate Alternative Minimum Tax | Corporate Alternative Minimum Tax — a 15% minimum tax on large corporations introduced by the US Inflation Reduction Act (2022). Affected Broadcom's Q3 2025 tax expense. |
| CQ | Calendar Quarter | Calendar Quarter — January–March, April–June, July–September, October–December. Used as the unified reference frame in this report because all three companies have different fiscal year ends. |
References
All figures in this analysis are sourced from SEC EDGAR filings. Key figures including FCF were cross-verified against primary filings; corrections are documented in the Section 04 analysis note.
| Calendar Quarter | NVIDIA Fiscal Quarter | SEC EDGAR Filing |
|---|---|---|
| Q1–Q3 2023 | FQ1–FQ3 FY2024 | EDGAR 10-Q Index |
| Q4 2023 | FQ4 FY2024 (10-K) | EDGAR 10-K Index |
| Q1 2026 | FQ1 2027 | nvda-20260427.htm |
| Calendar Quarter | AVGO Fiscal Quarter | SEC EDGAR Filing |
|---|---|---|
| Q1 2023 – Q4 2025 | FQ2 FY2023 – FQ1 FY2026 | EDGAR 10-Q Index |
| FY2023, FY2024, FY2025 (annual) | 10-K | EDGAR 10-K Index |
| Calendar Quarter | AMD Fiscal Quarter | SEC EDGAR Filing |
|---|---|---|
| Q1 2023 – Q3 2025 | FQ1–FQ3 FY2023–2025 | EDGAR 10-Q Index |
| Q4 annual (FY2023–2025) | 10-K | EDGAR 10-K Index |
| Q1 2026 | FQ1 2026 | amd-20260329.htm |
| Calendar Quarter | Company | Date | Key Usage |
|---|---|---|---|
| Q1 2025 | NVIDIA (FQ1 2026) | May 28, 2025 | H20 loss structure ($4.6B recognized / $2.5B unshipped / $4.5B written down); Blackwell 70% of DC compute; reasoning demand 1,000x token scaling; China TAM $50B declared lost. Source: FactSet CallStreet |
| Q2 2025 | NVIDIA (FQ2 2026) | August 27, 2025 | Inventory build $11B→$15B (FCF trough cause); Jensen ASIC rebuttal; NVIDIA $35B of 1GW AI factory. Source: FactSet CallStreet |
| Q3 2025 | AMD (FQ3 2025) | Late October 2025 | Data Center $4.34B ex-MI308 confirmed (Jean Hu); Embedded design wins >$14B annual; ROCm software gap acknowledged (Lisa Su). Source: AMD IR |