Duos Technologies Group (NASDAQ:DUOT) Posts Quarterly Earnings Results, Misses Expectations By $0.11 EPS

Duos Technologies Group (NASDAQ:DUOT) released its quarterly earnings data on Monday. The company reported ($0.41) earnings per share (EPS) for the quarter, missing analysts’ consensus estimates of ($0.30) by ($0.11), Zacks reports. Duos Technologies Group had a negative net margin of 143.17% and a negative return on equity of 271.06%. Duos Technologies Group updated its FY 2025 guidance to EPS.

Duos Technologies Group Stock Performance

DUOT stock traded up $0.33 during trading on Monday, reaching $5.64. 91,318 shares of the company’s stock were exchanged, compared to its average volume of 132,319. Duos Technologies Group has a 1-year low of $2.03 and a 1-year high of $8.53. The firm has a market cap of $47.44 million, a PE ratio of -3.94 and a beta of 1.02. The company’s fifty day moving average price is $6.31 and its 200-day moving average price is $5.12. The company has a quick ratio of 0.56, a current ratio of 0.73 and a debt-to-equity ratio of 0.66.

Analyst Upgrades and Downgrades

Several research firms have recently commented on DUOT. Northland Securities upped their price target on shares of Duos Technologies Group from $10.00 to $14.00 and gave the stock an “outperform” rating in a research report on Wednesday, February 5th. Ascendiant Capital Markets upped their target price on shares of Duos Technologies Group from $6.00 to $7.50 and gave the stock a “buy” rating in a research report on Tuesday, December 17th.

About Duos Technologies Group

Duos Technologies Group, Inc designs, develops, deploys, and operates intelligent technology solutions in North America. The company provides solutions, such as Centraco, an enterprise information management software platform that consolidates data and events from multiple sources into a unified and distributive user interface; and truevue360, an integrated platform to develop and deploy artificial intelligence algorithms, including machine learning, computer vision, object detection, and deep neural network-based processing for real-time applications.