Innodata (INOD) to Release Quarterly Earnings on Thursday

Innodata (NASDAQ:INOD) is scheduled to be announcing its earnings results after the market closes on Thursday, August 8th. Parties interested in participating in the company’s conference call can do so using this link.

Innodata (NASDAQ:INOD) last posted its quarterly earnings results on Tuesday, May 7th. The technology company reported $0.03 EPS for the quarter. Innodata had a return on equity of 9.08% and a net margin of 2.33%. The business had revenue of $26.50 million during the quarter. On average, analysts expect Innodata to post $0 EPS for the current fiscal year and $1 EPS for the next fiscal year.

Innodata Price Performance

INOD stock traded up $0.93 during mid-day trading on Tuesday, hitting $16.77. The stock had a trading volume of 357,892 shares, compared to its average volume of 644,568. The firm has a fifty day simple moving average of $15.91 and a 200 day simple moving average of $10.97. The firm has a market capitalization of $482.19 million, a P/E ratio of 281.00 and a beta of 2.33. The company has a current ratio of 1.46, a quick ratio of 1.46 and a debt-to-equity ratio of 0.25. Innodata has a 52 week low of $5.46 and a 52 week high of $21.58.

Analyst Ratings Changes

INOD has been the topic of a number of research analyst reports. BWS Financial assumed coverage on shares of Innodata in a research report on Wednesday, May 22nd. They issued a “buy” rating and a $24.00 target price on the stock. Maxim Group began coverage on Innodata in a report on Monday, July 15th. They set a “buy” rating and a $30.00 price objective on the 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.