Duos Technologies Group (NASDAQ:DUOT – Get Free Report) had its price objective hoisted by research analysts at Ascendiant Capital Markets from $9.00 to $11.00 in a research report issued to clients and investors on Monday,Benzinga reports. The brokerage presently has a “buy” rating on the stock. Ascendiant Capital Markets’ target price would indicate a potential upside of 41.39% from the stock’s previous close.
Duos Technologies Group Price Performance
DUOT stock opened at $7.78 on Monday. The stock has a market cap of $90.67 million, a price-to-earnings ratio of -5.44 and a beta of 1.03. The company has a debt-to-equity ratio of 0.66, a current ratio of 0.73 and a quick ratio of 0.56. The company has a 50 day simple moving average of $6.94 and a 200 day simple moving average of $6.26. Duos Technologies Group has a 1 year low of $2.03 and a 1 year high of $9.27.
Duos Technologies Group (NASDAQ:DUOT – Get Free Report) last announced its quarterly earnings results on Thursday, May 15th. The company reported ($0.18) EPS for the quarter, meeting analysts’ consensus estimates of ($0.18). The company had revenue of $4.95 million during the quarter, compared to analysts’ expectations of $4.60 million. Duos Technologies Group had a negative return on equity of 271.06% and a negative net margin of 143.17%. During the same period in the prior year, the company earned ($0.38) EPS. Research analysts anticipate that Duos Technologies Group will post -1.34 EPS for the current fiscal year.
Institutional Inflows and Outflows
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.
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