Johnson Controls is forecast to deliver mid‐single‐digit percentage growth in both revenue and adjusted EPS for the first quarter, driven primarily by robust performance in HVAC systems and lifecycle services. Analysts project revenue to increase by approximately 5% year-over-year, supported by a 7% rise in service and aftermarket sales. Operating margins are expected to modestly improve despite headwinds from higher raw material costs and a 2% negative impact from foreign exchange translation. Management will highlight early signs of cost-reduction initiatives taking hold in its Buildings business, where labor productivity improvements and procurement savings have already trimmed operating expenses by an estimated $50 million annually.

On February 2, Johnson Controls unveiled its Smart Ready YORK Chillers with factory-installed connectivity that delivers 10 times more performance indicators than standard building automation interfaces. Customer trials report a 32% reduction in unplanned service calls and a corresponding increase in equipment uptime, translating into millions in avoided downtime costs across installations. The solution features over 200 real-time datapoints, AI-driven fault detection, and remote parameter setting capabilities that accelerate commissioning by up to 30%. Centrifugal models are rolling out immediately, with screw and scroll units to follow in the coming quarter.

Also on February 2, the company launched a Reference Design Guide Series targeting 1 gigawatt-scale AI data centers. The first guide details a water-cooled chiller plant architecture integrating high-lift YORK centrifugal chillers, computer room air handlers and coolant distribution units optimized for 220 MW compute quadrants. Key outcomes include a zero-water‐consumption heat rejection process using dry coolers, support for high-temperature coolant loops compatible with next-generation GPUs, and design parameters aligned with NVIDIA’s DSX reference architecture. These blueprints aim to achieve industry-leading power usage effectiveness (PUE) below 1.2 and water usage effectiveness (WUE) reductions of 40% compared to traditional data center designs.