Nuvoton Technology
Financials
Estimates*
TWD | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 |
---|---|---|---|---|---|---|---|
Revenues | 20.7b | 41.5b | 41.9b | 35.3b | 35.0b | 40.1b | 47.1b |
% growth | 99 % | 101 % | 1 % | (16 %) | (1 %) | 15 % | 17 % |
EBITDA | 1.3b | 4.8b | 6.3b | 3.7b | 2.2b | 3.6b | 3.0b |
% EBITDA margin | 6 % | 12 % | 15 % | 11 % | 6 % | 9 % | 6 % |
Profit | 533m | 2.9b | 4.2b | 2.4b | 1.6b | 3.0b | - |
% profit margin | 3 % | 7 % | 10 % | 7 % | 5 % | 7 % | - |
EV / revenue | 0.9x | 1.2x | 0.9x | 1.6x | 1.0x | 0.9x | 0.8x |
EV / EBITDA | 13.7x | 10.5x | 6.3x | 14.8x | 15.9x | 10.5x | 12.3x |
R&D budget | 5.5b | 9.5b | 9.1b | 9.1b | - | - | - |
R&D % of revenue | 27 % | 23 % | 22 % | 26 % | - | - | - |
Date | Investors | Amount | Round |
---|---|---|---|
- | N/A | - | |
N/A | N/A | IPO | |
Total Funding | - |
Recent News about Nuvoton Technology
EditNuvoton Technology Corporation is a leading provider of microcontrollers and AI-driven solutions, primarily serving the agriculture and environmental monitoring sectors. The company operates in the semiconductor industry, focusing on integrating advanced technologies like Tiny Machine Learning (TinyML) and digital signal processing into their products. Nuvoton's business model revolves around the development and sale of high-performance microcontrollers and related software tools, which are designed to improve data-driven insights and operational efficiencies in various applications. Revenue is generated through direct sales of hardware and software solutions, as well as through partnerships and licensing agreements. By offering innovative products such as the NuMaker M55M1 series microcontrollers, Nuvoton enables clients to achieve real-time data monitoring and intelligent adjustments, thereby enhancing productivity and sustainability. Key clients include agricultural enterprises, environmental monitoring agencies, and technology developers looking for robust and efficient microcontroller solutions.
Keywords: microcontrollers, AI solutions, TinyML, digital signal processing, agriculture, environmental monitoring, data-driven insights, real-time monitoring, semiconductor industry, hardware and software tools.