AMD Company Profile
Filing-based Form 10-K metrics, trend charts, and company profile notes for AMD within the AI Infrastructure Economics module.
This company profile maps public filing metrics, operating context, and infrastructure exposure within CM Terminal’s personal analytical framework.
Company profile
Company Profile: AMD
Issuer-level AMD metrics for extending the compute-platform comparison within the AI Infrastructure Economics project.
Built from Form 10-K filings using the CM Terminal Analytics methodology.
FY2024 highlights
Revenue
$25,785M
Gross Margin
49.35%
Operating Margin
7.37%
R&D Intensity
25.03%
CapEx Intensity
2.47%
Four-year view
| Fiscal Year | Period Ended | Revenue | Gross Margin | Operating Margin | R&D Intensity | CapEx Intensity | Dataset row |
|---|---|---|---|---|---|---|---|
| 2021 | 2021-12-25 | $16,434M | 48.25% | 22.20% | 17.31% | 1.83% | Filing row |
| 2022 | 2022-12-31 | $23,601M | 44.93% | 5.36% | 21.21% | 1.91% | Filing row |
| 2023 | 2023-12-30 | $22,680M | 46.12% | 1.77% | 25.89% | 2.41% | Filing row |
| 2024 | 2024-12-28 | $25,785M | 49.35% | 7.37% | 25.03% | 2.47% | Filing row |
Source: AMD Form 10-K filings.
CapEx definition: Capital expenditure uses AMD cash flow statement line item "Purchases of property and equipment."
Unit: All raw financial figures are stored in USD millions.
Dataset note: The Dataset row column records the label attached to each filing-backed row in the project dataset. Definitions appear in Analytics Methodology & Data Policy.
AMD Revenue Trend
Fiscal-year revenue from AMD Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: AMD Form 10-K filings. Amounts stored in USD millions.
AMD Margin Trend
Gross margin and operating margin from AMD Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: AMD Form 10-K filings. Ratios calculated from stored USD millions figures.
AMD Reinvestment Intensity Trend
R&D intensity and CapEx intensity calculated from AMD Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: AMD Form 10-K filings. Ratios calculated from stored USD millions figures.
R&D intensity = R&D expense / revenue. CapEx intensity = capital expenditure / revenue.
What the filing data suggests
What AMD contributes to the AI Infrastructure Economics comparison as a compute challenger profile.
Main analytical tension
AI challenger narrative vs full-company operating leverage gap
AMD provides the challenger comparison to NVIDIA, but the full-company metrics still mix data center, client, gaming, and embedded businesses. The analytical tension is whether AI accelerator exposure can translate into stronger issuer-level operating leverage over time.
Revenue expansion, but not NVIDIA-style hypergrowth
Data basis
Revenue moved from $16,434M in FY2021 to $25,785M in FY2024.
Interpretation
AMD’s revenue base expanded across the period, but the filing series does not show the same scale of acceleration visible in NVIDIA’s recent AI cycle.
Margin compression after FY2021
Data basis
Operating margin was 22.20% in FY2021 and 7.37% in FY2024.
Interpretation
Operating margin remained materially below NVIDIA’s recent profile, suggesting that AMD’s compute exposure has not yet translated into comparable full-company operating leverage.
Elevated R&D intensity
Data basis
R&D intensity was 25.03% in FY2024.
Interpretation
R&D intensity remained high relative to revenue, consistent with continued investment in CPUs, GPUs, adaptive computing, and AI accelerator software ecosystems.
Low direct CapEx intensity
Data basis
CapEx intensity was 2.47% in FY2024.
Interpretation
AMD also has a fabless, asset-light structure, but low direct CapEx intensity alone does not imply NVIDIA-like margin economics.
This profile is descriptive issuer-level analysis. Methodology and non-advisory boundaries are documented in Analytics Methodology & Data Policy.
Analytical difficulty
What this profile can show
AMD can support the compute challenger side of the comparison because its Data Center segment and AI accelerator narrative make it relevant to the AI infrastructure map.
What this profile cannot isolate
It cannot yet prove isolated AI accelerator economics at the issuer level. Full-company results still mix Data Center, Client, Gaming, Embedded, and All Other effects, while Data Center itself combines EPYC CPUs, Instinct GPUs, and broader server demand.
Main unresolved bridge
The unresolved bridge is separating Instinct ramp economics from EPYC and full-company operating leverage.
Reference
Source & Methodology
How the AMD profile data is sourced, stored, and interpreted.
Official sources
Primary inputs are AMD annual reports filed as Form 10-K. Links below use the filing URLs stored in the project metadata; fiscal-year rows map to the filing set noted for each slice.
Used for FY2021
Used for FY2022, FY2023, FY2024
At least one row's filing note references cross-checking FY2022 against another Form 10-K in the chain; see the underlying source note text in the dataset for that fiscal year.
Source notes
Income statement data comes from Consolidated Statements of Operations. Capital expenditure uses the cash flow statement line item "Purchases of property and equipment." Amounts are stored in USD millions—aligned with the recurring language in the filing notes, without restating row-level figures here.
Fiscal-year treatment
The fiscalYear field uses AMD's reported fiscal-year label (for example FY2024), not a calendar-year convention.
When periodEnded is present on a row, it records the fiscal period end date for that fiscal year as stated in the filing trail for that row.
Metric construction
Raw metrics stored per fiscal year include revenue, grossProfit, operatingIncome, rdExpense, capitalExpenditure.
Derived metrics include revenueGrowth, grossMargin, operatingMargin, rdIntensity, capexIntensity. These ratios are calculated from the stored raw figures for the same row.
CapEx definition
Capital expenditure uses AMD's cash flow statement line item "Purchases of property and equipment."
Dataset boundary
These rows are filing-based dataset records used for issuer-level analytics. Source rules, metric definitions, review terminology, and non-advisory boundaries are documented in Analytics Methodology & Data Policy.