
SonoClear
Providing improved image quality during brain tumor resection.
EUR | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | - | - | 317 % | (26 %) | (79 %) | (96 %) |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | - | - | (1927 %) | (60 %) | (320 %) | (3367 %) | (89259 %) |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | - | - | (1592 %) | 31 % | (475 %) | (3328 %) | (193172 %) |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Sonoclear AS specializes in the development of an acoustic coupling fluid designed to enhance ultrasound image quality during intraoperative procedures. The company's primary product, SonoClear, aims to reduce image artefacts by mimicking the physical properties of brain tissue, thereby providing surgeons with improved decision support and ultimately enhancing patient health. Sonoclear operates in the medical device market, serving neurosurgeons and healthcare institutions that perform brain tumor resections. The business model revolves around the production and sale of SonoClear, with revenue generated through direct sales to hospitals and medical facilities. The company adheres to stringent quality standards, including ISO 13485:2016, ensuring that its products meet all regulatory and customer requirements. Sonoclear collaborates closely with customers, stakeholders, research partners, and suppliers to continuously improve the quality and value of its products. The effectiveness of SonoClear has been demonstrated in a Phase 1 clinical trial involving 15 patients, showing significant improvement in image quality.
Keywords: Acoustic coupling fluid, ultrasound imaging, intraoperative procedures, brain tissue, image artefacts, neurosurgery, medical device, quality management, clinical trial, surgical decision support.