Analysts at BWS Financial assumed coverage on shares of Innodata (NASDAQ:INOD – Get Free Report) in a research note issued to investors on Wednesday, Marketbeat Ratings reports. The firm set a “buy” rating and a $24.00 price target on the technology company’s stock. BWS Financial’s target price indicates a potential upside of 86.19% from the company’s current price.
Separately, TheStreet raised Innodata from a “d” rating to a “c-” rating in a research report on Friday, February 23rd.
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Innodata Stock Down 0.2 %
Innodata (NASDAQ:INOD – Get Free Report) last released its earnings results on Thursday, February 22nd. The technology company reported $0.05 earnings per share for the quarter. Innodata had a return on equity of 9.08% and a net margin of 2.33%. The business had revenue of $26.11 million for the quarter.
Institutional Inflows and Outflows
A number of institutional investors have recently modified their holdings of INOD. Raymond James & Associates bought a new position in shares of Innodata in the third quarter valued at approximately $590,000. Allspring Global Investments Holdings LLC bought a new position in Innodata in the 3rd quarter worth approximately $25,000. Private Advisor Group LLC bought a new position in Innodata in the 3rd quarter worth approximately $100,000. Atria Wealth Solutions Inc. acquired a new stake in Innodata during the 3rd quarter worth $103,000. Finally, Trexquant Investment LP grew its holdings in Innodata by 359.9% during the 3rd quarter. Trexquant Investment LP now owns 141,810 shares of the technology company’s stock worth $1,210,000 after acquiring an additional 110,978 shares during the period. Institutional investors own 30.75% of the company’s stock.
Innodata Company Profile
Innodata Inc operates as a global data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility. The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training data; and training AI algorithms for its customers, as well as AI model deployment and integration services.
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