Shares of Gorilla Technology Group Inc (NASDAQ: GRRR) traded sharply higher after the company announced a significant increase to its second-quarter revenue forecast. The company now expects Q2 2026 revenue to reach at least $44.0 million, easily clearing current external market estimates of approximately $33.9 million. This revised outlook is subject to the completion of quarter-end closing procedures and highlights strong operational momentum for the global data solutions provider.

The projected revenue signifies substantial growth compared to previous periods. Expected Q2 2026 revenue of at least $44.0 million represents more than 55% sequential growth compared with Q1 2026 revenue of $28.2 million. It also indicates more than 100% year-on-year growth compared with Q2 2025 revenue of $21.1 million. Management credits this bullish outlook to the successful execution of active customer contracts and the firm's proven ability to convert signed commercial commitments into recognized revenue.

Financial Performance Comparison

The following table outlines the revenue comparisons across different periods:

Market Reaction and Technical Levels

Gorilla Technology stock was up 8.58% at $18.98 at the time of publication. From a trend perspective, the stock is extended above its major moving averages—about 7% above the 20-day SMA ($17.73), 20% above the 50-day SMA ($15.78), and more than 30% above the 200-day SMA ($14.41). Key resistance is identified at $22.00, while key support sits near $15.50.

Future Guidance

Gorilla Technology aims to provide updates to its guidance for 2026 when it reports its Q2 2026 and first-half 2026 financial results. The company specializes in video intelligence, IoT security, edge AI data analytics, and operational technology security solutions.

Gorilla Technology Group Inc has secured a five-year AI compute infrastructure contract worth approximately $2.5 billion, significantly expanding its revenue pipeline through a deployment at the NeutraDC Batam data centre in Indonesia. The agreement with a high investment-grade global technology customer targets the installation of AI infrastructure, with the first phase expected to generate approximately $1.3 billion over the contract term. This project materially de-risks the company's capital exposure through GPU-backed financing support covering approximately 70% of expected GPU, networking, and related infrastructure costs.

The initial deployment involves approximately 1,000 B300 GPU servers, scheduled in two tranches starting September 2026 and December 2026. The remaining contracted capacity is slated for delivery in the first half of 2027. Gorilla is currently collaborating with leading banks and financial institutions to finalize the optimal financing structure for the project and address remaining funding requirements.

Project Details

The strategic location at NeutraDC Batam leverages Gorilla's previously announced capacity agreement, positioning the facility as a critical AI infrastructure gateway for Southeast Asia. The financing structure mitigates upfront capital intensity, allowing for accelerated deployment of high-performance computing resources.

Chief Executive Officer Jay Chandan noted that the agreement validates the company's strategy and represents confirmed customer demand with secured data center capacity and clear deployment timelines. He added that the contract significantly changes Gorilla's forward revenue profile and that the company plans to update its financial outlook once internal planning is complete.

Expanding AI Footprint

Gorilla said the agreement marks a major expansion of its AI infrastructure platform across Asia. It builds on a previously announced capacity partnership with NeutraDC and strengthens Batam's role as a key AI infrastructure hub for Southeast Asia. The company said it is targeting additional customer driven deployments across South Asia, East Asia, the Middle East, India and other regions with rising demand for AI compute.

Jackie Wang, Gorilla's general manager for Asia, said the region is becoming one of the most important growth corridors for AI compute. She noted that customers are no longer questioning whether they need AI capacity, but instead are asking which providers can secure power, data center space, GPU infrastructure, financing and operational delivery.