本文源自：金融界 作者：行情君 8月20日，润迈德-B(02297)盘中下跌10.0%，截至14:25，报0.45元/股，成交1757.63万元。 润迈德医疗有限公司是一家致力于成为全球领先的血管介入手术机器人的高新技术企业，主导产品包括 caFFR系统、caIMR系统及FlashBot血管介入手术机器人。公司已构建全球化的研发、生产、销售、服 务网络，与多家顶级医学中心合作，制定严格的质检体系，成功获得医疗器械质量管理体系认证。 截至2024年年报，润迈德-B营业总收入3982.4万元、净利润-1.13亿元。 ...

截至2024年年报，润迈德-B营业总收入3982.4万元、净利润-1.13亿元。 本文源自：金融界 作者：行情君 8月19日，润迈德-B(02297)盘中上涨32.43%，截至15:59，报0.49元/股，成交1892.34万元。 润迈德医疗有限公司是一家致力于成为全球领先的血管介入手术机器人的高新技术企业，主导产品包括 caFFR系统、caIMR系统及FlashBot血管介入手术机器人。公司已构建全球化的研发、生产、销售、服 务网络，与多家顶级医学中心合作，制定严格的质检体系，成功获得医疗器械质量管理体系认证。 ...

Company Overview - Runmed Medical Co., Ltd. was founded in 2014 and is recognized as a national high-tech enterprise [3] - The company aims to become a global leader in vascular interventional surgical robots, focusing on core products such as the caFFR system, caIMR system, and FlashBot vascular interventional surgical robot [3] - Runmed Medical is committed to innovation and has established a global network for R&D, production, sales, and service [3] Financial Performance - As of December 31, 2024, Runmed-B reported total revenue of 39.824 million yuan, a decrease of 45.61% year-on-year [1] - The company recorded a net profit attributable to shareholders of -113 million yuan, an increase of 2.02% year-on-year [1] - The gross profit margin stood at 59.93%, with a debt-to-asset ratio of 11.48% [1] Market Position and Valuation - Currently, there are no institutional investment ratings for Runmed-B [2] - The average price-to-earnings (P/E) ratio for the healthcare equipment and services industry is -2.24 times, with a median of 1.4 times [2] - Runmed-B has a P/E ratio of -4.23 times, ranking 93rd in the industry [2] Strategic Partnerships and Innovations - The company collaborates with top medical centers and experts both domestically and internationally to build a comprehensive patent system [3] - Runmed Medical has signed strategic cooperation agreements with several leading medical device distribution service platforms in China [3] - The company aims to enhance clinical value through advancements in medical imaging algorithms, fluid dynamics analysis, high-performance mechanical design, and high-end interventional consumables [3]