Ennoconn's March Revenue Hits Record High for Same Period; Neousys Sets New Monthly Record
Ennoconn reported Q1 revenue of NT$37.49B (up 8.8% YoY), driven by smart factory and IoT demand. Subsidiary Neousys hit record highs as edge AI deployments accelerate.
📋 Article Processing Timeline
- 📰 Published: April 9, 2026 at 21:44
- 🔍 Collected: April 9, 2026 at 22:00 (16 min after Published)
- 🤖 AI Analyzed: April 20, 2026 at 07:43 (249h 43m after Collected)
Ennoconn issued a press release pointing out that the three major business entities performed brilliantly in March revenue, driving the first-quarter consolidated revenue to reach NT$37.49 billion, an annual increase of 8.8%. The book-to-bill ratio (B/B Ratio) maintained a high level, providing momentum for first-quarter growth.
Ennoconn stated that the industrial control IoT business benefited from the recovery of global retail and financial smartening demand, with first-quarter revenue reaching NT$17.39 billion, an annual increase of 8.2%; smart software and solution revenue was NT$5.79 billion, an annual increase of 12.7%; smart factory and facility revenue reached NT$14.31 billion, an annual increase of 7.9%, mainly reflecting the advancement of semiconductor high-tech facility engineering progress in North America and other places, driving the growth of high-tech equipment material sales, integrated systems, and customized equipment R&D and manufacturing businesses.
Neousys Technology's consolidated revenue in March was NT$201 million, hitting a new single-month high; the consolidated revenue in the first quarter was NT$512 million, an annual increase of 22.4%, setting a new record for single-quarter revenue.
Lan Linzhong, Vice President of Neousys Technology, pointed out that the brilliant revenue results in March and the first quarter reflect that edge AI is no longer limited to basic image analysis but is moving from the early introduction stage to large-scale deployment. Especially in fields such as real-time image analysis, smart transportation, and smart manufacturing, the speed of project implementation has accelerated significantly, driving a steady rise in overall performance.
Lan Linzhong said that Neousys Technology is closely monitoring the positive impact brought by the development of AI Agent technology, which is expected to enhance decision-making capabilities and system autonomy at the edge, injecting new momentum into future application growth. (Editor: Zhang Liangzhi)
Ennoconn stated that the industrial control IoT business benefited from the recovery of global retail and financial smartening demand, with first-quarter revenue reaching NT$17.39 billion, an annual increase of 8.2%; smart software and solution revenue was NT$5.79 billion, an annual increase of 12.7%; smart factory and facility revenue reached NT$14.31 billion, an annual increase of 7.9%, mainly reflecting the advancement of semiconductor high-tech facility engineering progress in North America and other places, driving the growth of high-tech equipment material sales, integrated systems, and customized equipment R&D and manufacturing businesses.
Neousys Technology's consolidated revenue in March was NT$201 million, hitting a new single-month high; the consolidated revenue in the first quarter was NT$512 million, an annual increase of 22.4%, setting a new record for single-quarter revenue.
Lan Linzhong, Vice President of Neousys Technology, pointed out that the brilliant revenue results in March and the first quarter reflect that edge AI is no longer limited to basic image analysis but is moving from the early introduction stage to large-scale deployment. Especially in fields such as real-time image analysis, smart transportation, and smart manufacturing, the speed of project implementation has accelerated significantly, driving a steady rise in overall performance.
Lan Linzhong said that Neousys Technology is closely monitoring the positive impact brought by the development of AI Agent technology, which is expected to enhance decision-making capabilities and system autonomy at the edge, injecting new momentum into future application growth. (Editor: Zhang Liangzhi)