Duos Technologies Group (NASDAQ:DUOT) Announces Quarterly Earnings Results

Duos Technologies Group (NASDAQ:DUOT) announced its quarterly earnings data on Monday. The company reported ($0.41) earnings per share for the quarter, missing the consensus estimate of ($0.30) by ($0.11), Zacks reports. The company had revenue of $1.46 million for the quarter, compared to analyst estimates of $2.75 million. Duos Technologies Group had a negative net margin of 143.17% and a negative return on equity of 271.06%. During the same quarter in the prior year, the company posted ($1.56) EPS. Duos Technologies Group updated its FY 2025 guidance to EPS.

Duos Technologies Group Stock Down 2.5 %

Duos Technologies Group stock opened at $5.50 on Tuesday. The company has a debt-to-equity ratio of 0.66, a quick ratio of 0.56 and a current ratio of 0.73. The stock has a market cap of $46.26 million, a PE ratio of -3.85 and a beta of 1.02. Duos Technologies Group has a fifty-two week low of $2.03 and a fifty-two week high of $8.53. The firm’s 50-day simple moving average is $6.31 and its 200 day simple moving average is $5.14.

Analyst Ratings Changes

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

Duos Technologies Group Company Profile

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.