Highlights

  • GE Vernova is contributing to a three-year grid foundation model project aimed at improving electricity network planning and operational decisions.
  • The collaborative research programme targets simulation of one billion scenarios within twenty-four hours, with utility-specific model validation planned subsequently.
  • June-quarter backlog reached USD 176bn as Power and Electrification supported higher orders, revenue and operating cash flow across the group.
  • The company's next financial results are scheduled for 28 October, with previous capacity targets remaining subject to later operating updates.

A growing power equipment programme is being accompanied by new grid research at GE Vernova (NYSE:GEV). The company, which operates across Power, Electrification and Wind, is working on AI models intended to support network planning and reliability. Its shares closed at USD 855.12, up 4.92%, after the market session ended on 26 October 2026. The research initiative follows a June quarter of expanding orders and backlog, while the next financial release is scheduled for 28 October and will update the wider operating picture.

Research Programme Targets Faster Grid Simulation

On 19 October, GE Vernova outlined its role in GridFM 2.0, a three-year project led by Brookhaven National Laboratory. The collaborative programme involves more than two dozen industry, academic and government organisations and has total project funding of USD 14.2mn.

That amount relates to the entire project rather than a contract awarded solely to GE Vernova. Its central objective is to develop and validate a grid foundation model capable of simulating one billion scenarios in twenty-four hours.

GE Vernova Advanced Research plans to adapt the models for utility-specific distribution networks. Its contribution also includes secure deployment behind customer firewalls and integration with GridVISTA workflows, connecting research outputs with the settings in which utilities make operating decisions.

Validation is intended to progress from historical back-testing to secure parallel evaluation. The company's Distribution Operator Training Simulator will support a testing environment. These activities remain part of the announced development programme, with model capability and deployment goals still to be demonstrated through the research process.

Power and Electrification Lead the Equipment Expansion

In 2QFY26, orders reached USD 24.2bn, increasing 88% organically, and revenue rose 22% YoY to USD 11.1bn. Backlog expanded USD 13bn from the preceding quarter to USD 176bn, with Power and Electrification the main growth contributors.

Adjusted EBITDA was USD 1.2bn, equivalent to an 11.3% margin. Operating cash flow reached USD 5.5bn, and free cash flow totalled USD 5.1bn. These financial results cover the completed June quarter, before the later grid research announcement.

The combined measure of gas equipment backlog and slot reservation agreements stood at 116 gigawatts. Management expected that measure to reach at least 125 gigawatts by the end of the year. Reservations and backlog describe future activity rather than equipment already manufactured and delivered.

Reporting Schedule Precedes the Next Capacity Assessment

The July outlook raised FY26 revenue guidance to USD 45.5bn–46.5bn and free-cash-flow guidance to USD 11.5bn–12.5bn. The adjusted EBITDA margin range remained 12%–14%. These are management forecasts, pending subsequent updates.

Management also outlined annual gas-turbine output capacity objectives of 20 gigawatts in the third quarter and 24 gigawatts in 2028, with actions toward 30 gigawatts in 2030. The targets retain their July disclosure date; a target period's arrival does not independently confirm delivery.

GE Vernova plans to release third-quarter results before the market opens on 28 October. The update will provide the next financial assessment and an opportunity to revise operating expectations. Grid AI research addresses planning and control, while the equipment programme addresses physical supply and network expansion across different parts of the electricity system.