Ecolab has moved decisively to deepen its position in the AI infrastructure stack, striking a $4.75 billion deal to acquire liquid cooling specialist CoolIT Systems. The transaction signals a broader shift in how industrial players are repositioning around compute-intensive workloads, where thermal management has become as strategic as silicon.
The Minnesota-based company said CoolIT is on track to generate roughly $550 million in revenue over the next 12 months. “The acquisition will accelerate Ecolab’s organic sales trajectory. However, the strategic significance extends beyond incremental revenue. With this deal, Ecolab is consolidating capabilities across fluid management, chemistry, and thermal engineering into a unified platform designed specifically for AI-scale data centers.
From Utility Services to Compute-Critical Systems.
Cooling has entered a new phase of strategic importance. As AI workloads scale, traditional air-based systems struggle to manage thermal density. Liquid cooling, particularly direct-to-chip architectures, is emerging as the default for next-generation deployments.
CoolIT brings a focused portfolio of liquid cooling technologies, including coolant distribution units (CDUs), cold plates, and direct-to-chip systems. These technologies are increasingly critical as hyperscalers and colocation providers transition away from traditional air cooling to support high-density AI workloads.
“AI is transforming the demands on data centers, and liquid cooling is one of the critical technologies that makes advanced computing possible,” said Christophe Beck, Ecolab chairman and chief executive officer. “By bringing together CoolIT’s engineered cooling technologies with Ecolab’s expertise in water, chemistry and digital service, we can provide our customers a complete cooling solution that improves performance and reliability while reducing water and energy use. This acquisition expands our role in serving the AI ecosystem semiconductor fabs that manufacture chips, power plants that fuel the chips, and data centers that utilize the chips and positions Ecolab as the partner that the world’s largest technology companies rely on to grow responsibly and sustainably.”
Moreover, the acquisition positions Ecolab to capitalize on a structural shift in data center design. As compute density rises, thermal constraints increasingly dictate infrastructure architecture. Liquid cooling, once considered niche, is becoming foundational for next-generation AI clusters.
CoolIT’s installed base and relationships with hyperscale operators provide Ecolab with immediate access to high-growth deployment cycles. The company also gains engineering depth, particularly in custom thermal solutions for advanced AI chip platforms from industry leaders such as NVIDIA and AMD.
The Rebundling of Infrastructure Layers
The deal effectively doubles Ecolab’s addressable market in high-tech infrastructure from $5 billion to $10 billion, with strong double-digit growth expected. This expansion reflects not only demand for cooling hardware, but also the growing importance of integrated service models that combine hardware, monitoring, and lifecycle management.
Ecolab’s Cooling-as-a-Service model becomes central to its long-term positioning. By integrating CoolIT’s hardware stack with its own digital monitoring and fluid optimization capabilities, the company aims to deliver end-to-end thermal management solutions that improve uptime while reducing resource consumption.
The acquisition comes at a premium valuation, 29x forward EBITDA and 24x projected 2027 EBITDA. Even so, Ecolab expects the deal to be accretive to earnings per share by 2028, excluding non-cash amortization. Returns are projected to exceed the company’s cost of capital, with leverage peaking at approximately 3x EBITDA before normalizing within two years.
Meanwhile, the transaction will be funded through new debt, reflecting confidence in sustained demand for AI infrastructure. The deal is expected to close in the third quarter of 2026, pending regulatory approvals. Ecolab is not just acquiring a cooling company, it is repositioning itself within the AI value chain. As compute demand intensifies, control over thermal and fluid systems is emerging as a critical layer of infrastructure differentiation.
