Vertiv designs, manufactures, and services critical digital infrastructure for data centres, communication networks, and commercial environments. Products include power management, thermal management (air and liquid cooling), switchgear, busbar, racks, and UPS systems; services include maintenance, monitoring, and fluid management. [S1][S2]
Sources through 2026-09-13 · Report dated 2026-09-13
Business details
How it makes money
Products accounted for roughly 80% of FY2025 revenue and services & spares roughly 20%. Revenue is earned on a project basis with milestone payments, reflected in $3.63bn deferred revenue at Q2 2026. [S1][S3]
What drives results
Analysis: Hyperscale AI data centre capex drives order intake and revenue volume. [S3][S9]
Operating leverage on volume growth expands margins; adjusted operating margin was 22.6% in Q2 2026 versus 18.5% a year earlier. [S3]
Analysis: Liquid cooling adoption rate determines content per megawatt and long-term growth. [S3][S7]
Key dependencies
Analysis: Hyperscaler capital expenditure budgets, which are concentrated among a small number of large cloud providers. [S1][S3]
Semiconductor supply for power electronics and control systems, with limited substitutability. [S1]
Vertiv's revenue and margin expansion depend on hyperscale AI capex remaining elevated, while the stock already discounts several years of high growth and only narrow-to-moderate competitive protection.
Vertiv sells power and cooling equipment plus services to data centre operators; products are about 80% of revenue, services about 20%, with project milestone billing and deferred revenue.
Present-value estimates at the analysis date; model uses a five-year explicit forecast, 12%-14.5% WACC range, 3% terminal growth, 24% tax, and 392.5mn diluted shares.
Scenarios are conditional estimates, not promised returns.
Bear · USD 67.5000
AI capex decelerates sharply; orders fall, revenue declines, margins compress to 18%, and the multiple contracts.
Stock-based compensation figures were not platform-verified and were read from filings with appropriate labelling. Credit ratings were not confirmed from a primary source. The precise WACC is uncertain due to the wide range of plausible beta estimates; I used a 12-14.5% range and flagged this as the weakest link in the analysis. Customer concentration percentages were not disclosed in the verified data.