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Markets Edge · Intelligence Desk ISABELLA'S ISLAY

SLB pays $4.1B for Kelvion as Apollo exits data center cooling

Oilfield services giant buys thermal management to chase AI infrastructure, not just hydrocarbons.

Published September 3, 2026 Source Yahoo Finance From the chopped neck
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DIAMOND · September 3, 2026
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ISABELLA'S ISLAY · September 3, 2026

SLB pays $4.1B for Kelvion as Apollo exits data center cooling

Oilfield services giant buys thermal management to chase AI infrastructure, not just hydrocarbons.

SLB agreed to acquire Kelvion from Apollo Global Management for $4.1 billion including debt, the company's largest acquisition since its $5.2 billion purchase of Cameron's OneSubsea and surface systems in 2020. Apollo purchased Kelvion from Salzgitter AG in 2020 for approximately €655 million and exits at a multiple that reflects data center cooling's re-rating since GPUs became thermal problems.

Kelvion manufactures industrial heat exchangers and cooling systems used in chemical plants, power generation, and increasingly, hyperscale data centers where rack densities now exceed 100 kilowatts per cabinet. The German company generates roughly $1.4 billion in annual revenue with 3,600 employees across 16 manufacturing sites. SLB expects the deal to close in the second half of 2025, subject to regulatory approvals in the US and Europe where thermal equipment suppliers face scrutiny on strategic infrastructure dependencies.

The acquisition repositions SLB's data center business from niche provider to integrated cooling supplier at a time when AI training clusters require 5-10 megawatts per rack and liquid cooling adoption is no longer optional. SLB's existing Neovation platform sells monitoring and optimization software to data centers; Kelvion adds the physical cooling hardware those facilities need to prevent thermal throttling. The combination targets hyperscalers building 500-megawatt campuses in Texas, Arizona, and the Nordics where power availability exceeds grid constraints in Virginia and Ireland. Family offices tracking AI infrastructure should note this is a bet on the picks-and-shovels layer, not the model layer—cooling scales linearly with compute, and SLB now controls both the software that predicts thermal failure and the hardware that prevents it.

The deal also signals Apollo's view that data center cooling multiples have peaked for now. The firm held Kelvion for four years, a standard hold period, but exits as dry cooler orders face 12-18 month lead times and supply chains tighten. Private equity's willingness to sell into capacity constraints usually means one of two things: order books are peaking, or buyers are paying for growth that's already reflected in backlog. SLB is paying roughly 2.9x trailing revenue, a premium to industrial equipment peers but below pure-play data center infrastructure trades. The company expects $150 million in annual cost synergies by year three, primarily from procurement leverage and facility consolidation in Europe.

Operators should watch three follow-on events. First, whether SLB integrates Kelvion into its existing Neovation unit or runs it as a standalone business—integration suggests a longer-term platform build, separation suggests a hold-for-resale strategy. Second, whether Vertiv or Schneider Electric respond with acquisitions of their own; both have stronger data center customer relationships but narrower thermal product lines. Third, whether SLB uses the Kelvion sales force to cross-sell Neovation software into industrial customers outside data centers, expanding the addressable market beyond AI infrastructure. Management commentary on the earnings call in late April will clarify which path they're taking.

Apollo exits at a moment when data center cooling is a solved technical problem but an unsolved logistics problem. SLB is betting $4.1 billion that the company with the better supply chain wins, not the company with the better exchanger design.

The takeaway
SLB pays 2.9x revenue for Kelvion's cooling hardware as Apollo exits data center thermal infrastructure at what may be peak multiples.
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