Nogin, Inc. Reports Earnings Results for the Second Quarter and Six Months Ended June 30, 2023
August 14, 2023 at 04:04 pm
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Nogin, Inc. reported earnings results for the second quarter and six months ended June 30, 2023. For the second quarter, the company reported sales was USD 0.46 million compared to USD 3.26 million a year ago. Revenue was USD 12.74 million compared to USD 20.35 million a year ago. Net loss was USD 11.83 million compared to USD 10.97 million a year ago. Basic loss per share from continuing operations was USD 1.13 compared to USD 5.54 a year ago. Diluted loss per share from continuing operations was USD 1.13 compared to USD 5.54 a year ago.
For the six months, sales was USD 1.67 million compared to USD 7.01 million a year ago. Revenue was USD 29.42 million compared to USD 45.55 million a year ago. Net loss was USD 21.73 million compared to USD 20.92 million a year ago. Basic loss per share from continuing operations was USD 3.13 compared to USD 10.56 a year ago. Diluted loss per share from continuing operations was USD 3.13 compared to USD 10.56 a year ago.
Nogin, Inc. is an e-commerce technology platform provider in the apparel and ancillary industryâs multichannel retailing, business-to-consumer, and business-to-business domains. It manages clientsâ front-to-back-end operations so clients can focus on their business. Its Nogin Intelligent Commerce platform, enterprise commerce-as-a-service (CaaS) platform, includes Intelligent Commerce (site management); Intelligence commerce architecture, such as orders, returns and warehouse management, channel partner integrations, customer management, catalog management, content and site management, and security, privacy and data protection grouped into a single software solution, and Foundational elements, including its data asset, CDP and artificial intelligence (AI), and flexible application programming interface (API). The Intelligent Commerce platform is an open-source e-commerce platform that includes research and development, a customer data platform, and an AI data pool across all endpoints.