Squarepoint Ops LLC decreased its holdings in Innodata Inc. (NASDAQ:INOD - Free Report) by 39.1% during the 4th quarter, according to the company in its most recent disclosure with the SEC. The institutional investor owned 36,989 shares of the technology company's stock after selling 23,711 shares during the quarter. Squarepoint Ops LLC owned approximately 0.13% of Innodata worth $1,462,000 as of its most recent filing with the SEC.
Other institutional investors have also modified their holdings of the company. Northern Trust Corp raised its stake in shares of Innodata by 9.9% in the 4th quarter. Northern Trust Corp now owns 252,753 shares of the technology company's stock valued at $9,989,000 after purchasing an additional 22,808 shares in the last quarter. Jennison Associates LLC acquired a new stake in Innodata during the fourth quarter valued at approximately $402,000. Vanguard Group Inc. raised its stake in Innodata by 7.7% during the fourth quarter. Vanguard Group Inc. now owns 1,639,724 shares of the technology company's stock valued at $64,802,000 after buying an additional 117,000 shares in the last quarter. D. E. Shaw & Co. Inc. raised its stake in Innodata by 1,718.4% during the fourth quarter. D. E. Shaw & Co. Inc. now owns 944,611 shares of the technology company's stock valued at $37,331,000 after buying an additional 892,663 shares in the last quarter. Finally, Deutsche Bank AG raised its stake in Innodata by 47.6% during the fourth quarter. Deutsche Bank AG now owns 25,018 shares of the technology company's stock valued at $989,000 after buying an additional 8,063 shares in the last quarter. Institutional investors and hedge funds own 30.75% of the company's stock.
Innodata Stock Performance
NASDAQ INOD traded up $0.19 during trading hours on Tuesday, hitting $44.05. The company had a trading volume of 2,657,050 shares, compared to its average volume of 1,391,430. Innodata Inc. has a fifty-two week low of $12.67 and a fifty-two week high of $71.00. The company has a quick ratio of 1.84, a current ratio of 1.84 and a debt-to-equity ratio of 0.15. The business has a fifty day simple moving average of $36.38 and a 200-day simple moving average of $40.80. The firm has a market cap of $1.40 billion, a P/E ratio of 51.82 and a beta of 2.75.
Innodata (NASDAQ:INOD - Get Free Report) last released its quarterly earnings data on Thursday, May 8th. The technology company reported $0.22 earnings per share for the quarter, topping analysts' consensus estimates of $0.17 by $0.05. Innodata had a net margin of 16.81% and a return on equity of 66.36%. The business had revenue of $58.34 million for the quarter, compared to analysts' expectations of $57.64 million. The company's revenue for the quarter was up 120.1% on a year-over-year basis. Equities analysts predict that Innodata Inc. will post 0.81 EPS for the current year.
Wall Street Analyst Weigh In
Several equities research analysts recently issued reports on the company. 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, February 21st. BWS Financial increased their target price on shares of Innodata from $45.00 to $74.00 and gave the stock a "buy" rating in a report on Friday, February 21st. Finally, Wedbush dropped their target price on shares of Innodata from $75.00 to $58.00 and set an "outperform" rating on the stock in a report on Friday, May 9th. One analyst has rated the stock with a hold rating and five have issued a buy rating to the company. Based on data from MarketBeat.com, Innodata has an average rating of "Moderate Buy" and an average price target of $55.00.
View Our Latest Analysis on Innodata
Innodata Profile
(
Free Report)
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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