VivoSim Labs (NASDAQ:VIVS – Get Free Report) issued its quarterly earnings data on Tuesday. The company reported ($2.21) earnings per share (EPS) for the quarter, FiscalAI reports. The business had revenue of $0.04 million for the quarter. VivoSim Labs had a negative return on equity of 15.51% and a negative net margin of 861.27%.
VivoSim Labs Trading Up 2.2%
NASDAQ:VIVS opened at $0.85 on Thursday. VivoSim Labs has a 12-month low of $0.78 and a 12-month high of $5.30. The stock’s 50 day simple moving average is $1.16 and its 200-day simple moving average is $1.60. The firm has a market cap of $2.23 million, a P/E ratio of -0.16 and a beta of 1.40.
Institutional Investors Weigh In On VivoSim Labs
An institutional investor recently bought a new stake in VivoSim Labs stock. Two Sigma Investments LP acquired a new stake in VivoSim Labs, Inc. (NASDAQ:VIVS – Free Report) during the 3rd quarter, according to its most recent Form 13F filing with the Securities and Exchange Commission. The fund acquired 23,192 shares of the company’s stock, valued at approximately $68,000. Two Sigma Investments LP owned 0.89% of VivoSim Labs as of its most recent filing with the Securities and Exchange Commission. Institutional investors and hedge funds own 8.23% of the company’s stock.
Analysts Set New Price Targets
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About VivoSim Labs
VivoSim Labs, Inc (NASDAQ: VIVS) is a biotechnology company specializing in the development and commercialization of advanced 3D human tissue models for preclinical drug testing and disease modeling. The company’s proprietary organoid platforms and cell-based assays are designed to replicate human physiological environments, enabling more predictive evaluation of drug efficacy, safety, and toxicity before clinical trials. By integrating cutting-edge bioengineering and microfluidics technologies, VivoSim Labs seeks to bridge the gap between traditional cell culture methods and human clinical outcomes.
The company’s product portfolio includes 3D bioprinted tissues, organ-on-a-chip systems, and disease-specific models targeting key therapeutic areas such as oncology, cardiology, and hepatology.
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