Innodata (INOD) to Release Earnings on Thursday

Innodata (NASDAQ:INOD) is scheduled to be issuing its quarterly earnings data after the market closes on Thursday, November 7th. Analysts expect the company to announce earnings of $0.07 per share for the quarter. Investors that are interested in participating in the company’s conference call can do so using this link.

Innodata Stock Down 1.2 %

Shares of NASDAQ:INOD opened at $21.43 on Thursday. The company has a quick ratio of 1.45, a current ratio of 1.45 and a debt-to-equity ratio of 0.24. Innodata has a fifty-two week low of $5.46 and a fifty-two week high of $21.90. The stock has a market cap of $616.18 million, a price-to-earnings ratio of 357.17 and a beta of 2.31. The firm’s 50 day moving average price is $16.70 and its 200 day moving average price is $14.75.

Analyst Ratings Changes

Several equities research analysts have recently issued reports on INOD shares. Craig Hallum initiated coverage on shares of Innodata in a research report on Tuesday, September 17th. They set a “buy” rating and a $23.00 price objective for the company. Maxim Group assumed coverage on Innodata in a report on Monday, July 15th. They set a “buy” rating and a $30.00 price target for the company. StockNews.com upgraded Innodata to a “sell” rating in a report on Wednesday, October 23rd. Finally, BWS Financial boosted their target price on Innodata from $24.00 to $30.00 and gave the stock a “buy” rating in a research note on Friday, August 9th. One investment analyst has rated the stock with a sell rating and three have given a buy rating to the stock. According to MarketBeat, the company presently has a consensus rating of “Moderate Buy” and a consensus price target of $27.67.

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.