Turbo Energy H1 Results: Revenue surges 180% YoY to $17.2M

1 min read     Updated on 27 Jul 2026, 06:16 PM
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AI Summary

Turbo Energy, S.A. announced preliminary H1 2026 revenue of $17.2 million, up 180% YoY from $6.1 million. The growth is attributed to a strategic shift towards Commercial & Industrial AI-driven energy storage solutions.

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Turbo Energy, S.A. (Nasdaq: TURB) has reported preliminary, unaudited revenue of $17.2 million for the first half of 2026, representing a record year-over-year growth of 180%. This significant increase from $6.1 million in the corresponding period of 2025 underscores the successful execution of the company’s strategic pivot toward a higher-value Commercial & Industrial (C&I) business model. The strong top-line performance highlights the growing demand for its AI-driven Intelligent Energy Storage and intelligent energy management solutions.

The financial results were announced by Turbo Energy, a global technology integrator specializing in AI-driven energy solutions. The preliminary figures indicate a robust acceleration in business activity compared to the prior year. While the data is unaudited, the magnitude of the growth suggests a material shift in the company's operational trajectory.

Financial Performance

The key financial metric disclosed in the announcement is the revenue growth for the first half of 2026.

Metric H1 2026 H1 2025 Change
Revenue $17.2 million $6.1 million 180%

The revenue figure of $17.2 million is more than double the $6.1 million recorded in the first half of 2025. This 180% year-over-year increase is described as a record growth rate for the company.

What the Numbers Show

The primary driver behind the revenue surge is the company’s strategic transformation toward a Commercial & Industrial-focused business model. By shifting focus to higher-value C&I segments, Turbo Energy appears to be capturing greater market share in the AI-driven Intelligent Energy Storage sector. The transition from $6.1 million to $17.2 million in just one year indicates that this strategic pivot is yielding immediate and substantial commercial results, validating the management’s decision to reorient the business model away from lower-margin or less scalable offerings.

How sustainable is the 180% revenue growth rate as Turbo Energy scales its C&I operations in the second half of 2026?

What is the projected impact of this strategic pivot on Turbo Energy's profit margins and cash flow generation?

Which specific Commercial & Industrial sectors are driving the highest demand for Turbo Energy's AI-driven storage solutions?

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Turbo Energy and Hithium deploy 366 MWh AI infrastructure across Europe

1 min read     Updated on 24 Jun 2026, 08:35 PM
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Shriram SScanX News Team
AI Summary

Turbo Energy, S.A. and HiTHIUM have deployed a 366 MWh AI-enabled energy infrastructure project across 15 European industrial facilities. Over 130 MWh has been installed to date as part of the Pamesa Net Zero initiative.

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Turbo Energy, S.A. and HiTHIUM have deployed a large-scale AI-enabled energy infrastructure project across 15 industrial facilities belonging to one of Europe’s largest electro-intensive ceramic manufacturing groups. The initiative, unveiled during Intersolar Europe 2026, combines 366 MWh of battery energy storage capacity with Turbo Energy’s proprietary AI-driven optimization platform. This deployment transforms traditional energy storage assets into an intelligent, software-defined energy ecosystem capable of dynamically managing generation, storage, and consumption across multiple industrial sites.

The project forms part of the Pamesa Net Zero initiative, a program designed to accelerate the electrification, decarbonization, and energy independence of a major ceramic manufacturing group. To date, more than 130 MWh of storage capacity has been installed on site. This marks the first deployment of Turbo Energy’s AI-driven optimization platform alongside HiTHIUM’s advanced storage systems at an industrial scale, enabling real-time energy orchestration across multiple facilities.

Project Scope and Technology

The initiative spans 15 industrial facilities and includes a total project capacity of 366 MWh. The core technology involves Turbo Energy’s AI-driven energy management platform, which functions as an intelligence layer across the energy ecosystem. It enables real-time operational decisions based on consumption patterns, market conditions, and system performance.

Metric Value
Total Project Capacity 366 MWh
Installed Capacity to Date >130 MWh
Number of Facilities 15

Leveraging predictive analytics, demand forecasting, and real-time operational data, the platform dynamically orchestrates energy flows to improve efficiency, reduce exposure to electricity market volatility, and enhance operational resilience. The result is a software-defined energy infrastructure model where energy becomes a controllable and optimized operational asset.

Strategic Partnership and Expansion

Kelson Li, Vice President of HiTHIUM Europe, stated that the combination of advanced long-duration battery storage and AI-driven energy management is critical for industrial customers facing energy cost volatility and decarbonization targets. Mariano Soria, Chief Executive Officer of Turbo Energy, added that the next generation of energy systems will be defined by intelligence and optimization, transforming battery systems into intelligent energy assets.

This milestone reinforces Turbo Energy’s strategic transformation into an AI-driven energy infrastructure platform. It also marks an important step in the Company’s strategic partnership with HiTHIUM, accelerating the deployment of intelligent energy infrastructure solutions across international markets in Europe, North America, and Latin America.

What are the projected ROI and payback period for the ceramic group based on the efficiency gains from the AI platform?

How will this partnership leverage the remaining 236 MWh of planned capacity to expand into other industrial sectors?

What specific regulatory frameworks in Europe are facilitating the adoption of these software-defined energy models?

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