Innodata (INOD) to Release Earnings on Thursday

Innodata (NASDAQ:INOD - Get Free Report) is projected to release its Q4 2024 earnings data after the market closes on Thursday, February 20th. Analysts expect Innodata to post earnings of $0.11 per share and revenue of $53.01 million for the quarter. Innodata has set its FY 2025 guidance at EPS.Persons that wish to register for the company's earnings conference call can do so using this link.

Innodata (NASDAQ:INOD - Get Free Report) last issued its earnings results on Thursday, February 20th. The technology company reported $0.31 EPS for the quarter, beating analysts' consensus estimates of $0.11 by $0.20. The business had revenue of $59.18 million during the quarter, compared to analyst estimates of $53.01 million. Innodata had a return on equity of 44.38% and a net margin of 14.57%. On average, analysts expect Innodata to post $1 EPS for the current fiscal year and $1 EPS for the next fiscal year.

Innodata Stock Performance

Shares of NASDAQ INOD traded up $7.33 during trading hours on Friday, reaching $61.89. The stock had a trading volume of 12,830,912 shares, compared to its average volume of 1,943,179. The business's fifty day moving average is $41.05 and its two-hundred day moving average is $29.81. The company has a debt-to-equity ratio of 0.15, a current ratio of 1.84 and a quick ratio of 1.84. The company has a market cap of $1.79 billion, a price-to-earnings ratio of 104.90 and a beta of 2.57. Innodata has a twelve month low of $5.46 and a twelve month high of $71.00.

Wall Street Analysts Forecast Growth

A number of analysts have weighed in on INOD shares. StockNews.com upgraded Innodata from a "sell" rating to a "hold" rating in a research report on Saturday, November 16th. BWS Financial upped their price target on Innodata from $45.00 to $74.00 and gave the company a "buy" rating in a research report on Friday. Maxim Group upped their price target on Innodata from $54.00 to $75.00 and gave the company a "buy" rating in a research report on Friday. Wedbush started coverage on Innodata in a research report on Thursday, December 19th. They issued an "outperform" rating and a $48.00 price target on the stock. Finally, Chardan Capital reiterated a "buy" rating and issued a $45.00 price target on shares of Innodata in a research report on Friday, December 13th. One research analyst has rated the stock with a hold rating and five have issued a buy rating to the company's stock. According to MarketBeat, the stock presently has an average rating of "Moderate Buy" and a consensus price target of $53.00.

Insider Transactions at Innodata

In related news, CEO Jack Abuhoff sold 187,099 shares of the firm's stock in a transaction dated Monday, November 25th. The stock was sold at an average price of $46.07, for a total value of $8,619,650.93. Following the transaction, the chief executive officer now owns 1,188,358 shares in the company, valued at $54,747,653.06. This trade represents a 13.60 % decrease in their ownership of the stock. The transaction was disclosed in a legal filing with the Securities & Exchange Commission, which is available at the SEC website. Also, Director Louise C. Forlenza sold 4,000 shares of the firm's stock in a transaction dated Monday, November 25th. The shares were sold at an average price of $45.10, for a total value of $180,400.00. Following the completion of the transaction, the director now owns 8,278 shares in the company, valued at approximately $373,337.80. This represents a 32.58 % decrease in their position. The disclosure for this sale can be found here. Over the last quarter, insiders have sold 559,806 shares of company stock worth $25,353,904. Insiders own 15.23% 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.