AdTheorent Holding Company, Inc. Reports Earnings Results for the Third Quarter and Nine Months Ended September 30, 2023
November 07, 2023 at 05:16 pm EST
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AdTheorent Holding Company, Inc. reported earnings results for the third quarter and nine months ended September 30, 2023. For the third quarter, the company reported sales was USD 40.89 million compared to USD 37.58 million a year ago. Net loss was USD 4.19 million compared to net income of USD 5.73 million a year ago. Basic loss per share from continuing operations was USD 0.05 compared to basic earnings per share from continuing operations of USD 0.07 a year ago. Diluted loss per share from continuing operations was USD 0.05 compared to diluted earnings per share from continuing operations of USD 0.06 a year ago.
For the nine months, sales was USD 111.15 million compared to USD 114.3 million a year ago. Net loss was USD 1.34 million compared to net income of USD 21.76 million a year ago. Basic loss per share from continuing operations was USD 0.02 compared to basic earnings per share from continuing operations of USD 0.25 a year ago. Diluted loss per share from continuing operations was USD 0.02 compared to diluted earnings per share from continuing operations of USD 0.23 a year ago.
AdTheorent Holding Company, Inc. uses advanced machine learning technology and privacy-forward solutions to deliver advertising campaigns for marketers. The Company's advanced machine learning-powered media buying platform powers its predictive targeting, predictive audiences, geo-intelligence, audience extension solutions and in-house creative capability. Leveraging only non-sensitive data and focused on the predictive value of machine learning models, the Company's product suite and flexible transaction models allow advertisers to identify the most qualified potential consumers coupled with the optimal creative experience to deliver superior results, measured by each advertiser's real-world business goals. Central to the Company's ad-targeting and campaign optimization methods, it builds custom machine learning models for each campaign using historic and real-time data to predict future consumer conversion actions for every digital ad impression.