Vertiv Company Profile
A filing-grounded evidence node for power and thermal infrastructure economics, showing how AI data-center demand can transmit into facility-level revenue, margin, reinvestment, and capital intensity.
Company evidence node
Company Evidence Node: Vertiv
Role: Power and thermal infrastructure / data-center infrastructure evidence node.
Built from Form 10-K filings using the CM Terminal Analytics methodology.
FY2024 highlights
Revenue
$8,011.8M
Gross Margin
36.62%
Operating Margin
17.07%
R&D Intensity
4.39%
CapEx Intensity
2.08%
Four-year view
| Fiscal Year | Revenue | Revenue Growth | Gross Margin | Operating Margin | R&D Intensity | CapEx Intensity | Dataset row |
|---|---|---|---|---|---|---|---|
| 2021 | $4,998.1M | — | 30.47% | 5.20% | 5.33% | 1.47% | Filing row |
| 2022 | $5,691.5M | 13.87% | 28.39% | 3.93% | 4.95% | 1.76% | Filing row |
| 2023 | $6,863.2M | 20.59% | 34.98% | 12.71% | 4.42% | 1.86% | Filing row |
| 2024 | $8,011.8M | 16.74% | 36.62% | 17.07% | 4.39% | 2.08% | Filing row |
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.
Vertiv filing figures are stored as USD millions.
Gross profit is computed as net sales minus cost of sales from the Form 10-K statements. R&D uses Note 11 / Other Financial Information. CapEx uses capital expenditures from the cash flow statement and is stored as a positive magnitude.
Vertiv Revenue Trend
Fiscal-year revenue from Vertiv Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Vertiv Form 10-K filings. Amounts stored in USD millions.
What this chart shows: The revenue series shows Vertiv's facility-infrastructure exposure scaling across the filing-backed period, making it useful for testing whether AI data-center demand extends beyond silicon and networking layers.
Vertiv Margin Trend
Gross margin and operating margin from Vertiv Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Vertiv Form 10-K filings. Ratios calculated from stored USD millions figures.
What this chart shows: Margin expansion across the filing-backed period helps show how power and thermal infrastructure economics can shift as demand scales, but it should be read as company-level evidence rather than segment-level AI exposure.
Vertiv Reinvestment Intensity Trend
R&D intensity and CapEx intensity calculated from Vertiv Form 10-K figures.
Source: issuer filings; methodology documented separately.
Source: Vertiv Form 10-K filings. Ratios calculated from stored USD millions figures.
What this chart shows: Reinvestment intensity provides a facility-infrastructure contrast to semiconductor manufacturing nodes. The profile should not be read as a chip-production CapEx proxy.
R&D intensity = R&D expense / revenue. CapEx intensity = capital expenditure / revenue.
Initial Interpretation
Fiscal years in this evidence node: FY2021, FY2022, FY2023, FY2024.
Vertiv is a power and thermal infrastructure / data-center infrastructure evidence node—read here as facility-level AI infrastructure exposure, not semiconductor manufacturing, networking fabric, lithography equipment, or cloud hyperscaler demand. It supports the hub's power and cooling layer and differs from compute, foundry, memory, and equipment nodes. Vertiv is now included in the expanded eight-node Profit Capture vs Capital Burden comparison as the power and thermal infrastructure evidence node.
This profile is descriptive issuer-level analysis. Methodology and non-advisory boundaries are documented in Analytics Methodology & Data Policy.
Power and cooling node
Vertiv provides the first published power-and-thermal infrastructure profile in the hub, connecting AI data-center demand to facility-level equipment and services.
Facility infrastructure contrast
The profile helps test whether AI infrastructure economics extend beyond silicon, foundry, memory, equipment, and networking layers into power and thermal systems.
Company-level signal
Revenue, operating margin, R&D intensity, and CapEx intensity provide a company-level view of power and cooling economics, not a segment-level AI revenue estimate.
Comparison status
Vertiv is now included in the expanded eight-node Profit Capture vs Capital Burden comparison as the power and thermal infrastructure evidence node.
Reference
Source & Methodology
How the Vertiv profile data is sourced, stored, and interpreted.
Official sources
Primary inputs are Vertiv Holdings Co. Form 10-K annual filings. Links below use the sourceUrl values stored on each stored row; fiscal-year coverage follows the filing trail described in each row's sourceNote.
FY2021 is sourced from the comparative year presentation in the 2022 Form 10-K. FY2022 through FY2024 are sourced from the 2024 Form 10-K comparative and reported-year tables, as indicated in the row-level source notes.
Used for FY2021
Used for FY2022, FY2023, FY2024
Source notes
Net sales, cost of sales, and operating profit are taken from the Consolidated Statements of Earnings (Loss) as described in each row's filing note. Gross profit is computed as net sales minus cost of sales. R&D uses research and development expense or engineering, research and development costs from Note 11 / Other Financial Information. CapEx uses capital expenditures from the Consolidated Statements of Cash Flows. Figures are in USD millions. Fiscal year is calendar-year aligned and ends December 31. CapEx is stored as a positive magnitude.
Fiscal-year treatment
The fiscalYear field uses Vertiv's reported fiscal-year label (for example FY2024). 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 where present, calculated from the stored raw figures for the same row.
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.