Innodata (INOD) Set to Announce Quarterly Earnings on Thursday

Innodata (NASDAQ:INOD) is set to release its earnings data after the market closes on Thursday, November 7th. Analysts expect Innodata to post earnings of $0.07 per share for the quarter. Persons interested in participating in the company’s earnings conference call can do so using this link.

Innodata Trading Down 1.2 %

Shares of INOD stock opened at $21.43 on Thursday. The company has a market capitalization of $616.18 million, a P/E ratio of 357.17 and a beta of 2.31. The company has a current ratio of 1.45, a quick ratio of 1.45 and a debt-to-equity ratio of 0.24. The business’s 50 day moving average is $16.70 and its two-hundred day moving average is $14.75. Innodata has a twelve month low of $5.46 and a twelve month high of $21.90.

Wall Street Analyst Weigh In

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