Vertiv’s AI Focus Outpaces Eaton’s Broader Power Play

Vertiv’s latest results show faster sales growth than Eaton’s, giving investors a more direct bet on data-center construction. Vertiv reported second-quarter sales up 24% year over year, including 18% organic growth; Eaton reported sales up 21%, with organic growth of 14%.

The companies sell into overlapping markets but play different roles. Vertiv supplies data centers with critical power and cooling equipment. Eaton is a broader power-management company, serving utilities, factories, buildings and data centers.

Vertiv’s adjusted earnings per share rose 60% to $1.52 in the second quarter, and the company raised its 2026 sales outlook to a midpoint of $14 billion. Its growth is tied closely to continued investment in AI and other data-center capacity, making demand in that market especially important to its outlook.

Eaton’s second-quarter sales reached a record $8.5 billion. Its Electrical Americas business recorded 18% organic sales growth, while its broader customer base gives investors exposure to power demand beyond data centers. Eaton also raised its 2026 organic-growth forecast to 11% to 13%.

Both are expanding their AI offerings. Eaton is developing 800-volt direct-current systems for high-power AI facilities and has introduced Beam Rubin DSX, a platform designed to coordinate power, cooling and controls. The company says the design draws on NVIDIA’s Vera Rubin DSX reference architecture.

Vertiv is pushing beyond equipment inside the data center. On September 2, it agreed to buy UtilityInnovation Group for about $1.45 billion upfront, with up to $1.15 billion more tied to performance. The deal would add microgrid controls and expertise in on-site power systems, but it has not yet closed.

The choice depends on the exposure an investor wants. Vertiv’s faster recent growth and concentrated focus may appeal to those betting on data-center buildouts. Eaton offers a wider business and more varied sources of demand. Both face risk if customers slow spending or projects run into power and supply constraints.