IDEAYA Biosciences, Inc. Reports Earnings Results for the Third Quarter and Nine Months Ended September 30, 2023
November 07, 2023 at 04:02 pm EST
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IDEAYA Biosciences, Inc. reported earnings results for the third quarter and nine months ended September 30, 2023. For the third quarter, the company reported revenue was USD 8.04 million compared to USD 29.7 million a year ago. Net loss was USD 27.44 million compared to net income of USD 1.62 million a year ago. Basic loss per share from continuing operations was USD 0.46 compared to basic earnings per share from continuing operations of USD 0.04 a year ago. Diluted loss per share from continuing operations was USD 0.46 compared to diluted earnings per share from continuing operations of USD 0.04 a year ago.
For the nine months, revenue was USD 19.46 million compared to USD 46.91 million a year ago. Net loss was USD 79.01 million compared to USD 34.45 million a year ago. Basic loss per share from continuing operations was USD 1.44 compared to USD 0.88 a year ago. Diluted loss per share from continuing operations was USD 1.44 compared to USD 0.88 a year ago.
IDEAYA Biosciences, Inc. is a precision medicine oncology company. The Company is engaged in the discovery and development of targeted therapeutics for patient populations selected using molecular diagnostics. Its lead product candidates are darovasertib (IDE196), IDE397, IDE161 and GSK101 (Pol Theta Helicase). IDE196, a small molecule protein kinase C (PKC), inhibitor, in combination with crizotinib, an investigational cMET inhibitor. IDE397, is its small molecule methionine adenosyltransferase 2a (MAT2A), inhibitor. IDE161, is its small molecule poly (ADP-ribose) glycohydrolase (PARG), inhibitor. IDE196 is its clinical-stage PKC inhibitor that the Company is evaluating as a synthetic lethal combination therapy. IDE397, a MAT2A inhibitor for patients with solid tumors having MTAP deletions. IDE161 is its clinical-stage, potent and selective small molecule inhibitor of PARG for patients having tumors with defined biomarkers based on genetic mutations and/or molecular signatures.