Innodata Inc. (NASDAQ:INOD – Get Free Report) has been given a consensus rating of “Moderate Buy” by the five analysts that are currently covering the stock, Marketbeat.com reports. One investment analyst has rated the stock with a hold rating and four have assigned a buy rating to the company. The average 1-year price objective among brokerages that have updated their coverage on the stock in the last year is $72.00.
A number of equities research analysts have recently commented on the stock. Weiss Ratings reaffirmed a “hold (c+)” rating on shares of Innodata in a report on Saturday, September 27th. BWS Financial upped their target price on shares of Innodata from $74.00 to $110.00 and gave the company a “buy” rating in a report on Friday.
View Our Latest Report on INOD
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Innodata Price Performance
Shares of INOD opened at $81.68 on Thursday. The firm has a fifty day moving average price of $57.43 and a 200 day moving average price of $47.31. Innodata has a 1-year low of $16.55 and a 1-year high of $93.85. The company has a debt-to-equity ratio of 0.09, a current ratio of 2.87 and a quick ratio of 2.87. The stock has a market cap of $2.60 billion, a PE ratio of 65.87 and a beta of 2.96.
Innodata (NASDAQ:INOD – Get Free Report) last announced its earnings results on Thursday, July 31st. The technology company reported $0.20 EPS for the quarter, beating analysts’ consensus estimates of $0.11 by $0.09. Innodata had a net margin of 18.71% and a return on equity of 54.27%. The business had revenue of $58.39 million during the quarter, compared to analysts’ expectations of $56.35 million. Innodata’s revenue was up 79.7% compared to the same quarter last year. As a group, sell-side analysts anticipate that Innodata will post 0.81 EPS for the current year.
About Innodata
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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