
Innodata Inc. (NASDAQ:INOD – Free Report) – Research analysts at BWS Financial raised their FY2025 earnings per share (EPS) estimates for Innodata in a report issued on Tuesday, November 11th. BWS Financial analyst H. Khorsand now forecasts that the technology company will post earnings of $0.89 per share for the year, up from their prior estimate of $0.83. BWS Financial has a “Buy” rating and a $110.00 price objective on the stock. The consensus estimate for Innodata’s current full-year earnings is $0.81 per share. BWS Financial also issued estimates for Innodata’s Q4 2025 earnings at $0.22 EPS.
Innodata (NASDAQ:INOD – Get Free Report) last posted its earnings results on Thursday, November 6th. The technology company reported $0.24 earnings per share for the quarter, beating the consensus estimate of $0.14 by $0.10. Innodata had a net margin of 18.71% and a return on equity of 54.27%. The firm had revenue of $62.55 million during the quarter, compared to analyst estimates of $59.78 million. Innodata’s revenue for the quarter was up 19.8% on a year-over-year basis.
Get Our Latest Stock Analysis on INOD
Innodata Stock Down 0.8%
INOD stock opened at $61.95 on Wednesday. The firm has a market cap of $1.97 billion, a PE ratio of 49.96 and a beta of 2.90. The company has a debt-to-equity ratio of 0.09, a quick ratio of 2.87 and a current ratio of 2.87. The firm’s fifty day moving average is $71.87 and its 200 day moving average is $53.18. Innodata has a one year low of $26.41 and a one year high of $93.85.
Insider Transactions at Innodata
In related news, COO Ashok Mishra sold 200,000 shares of Innodata stock in a transaction dated Wednesday, November 12th. The stock was sold at an average price of $61.39, for a total value of $12,278,000.00. Following the sale, the chief operating officer directly owned 60,000 shares in the company, valued at approximately $3,683,400. The trade was a 76.92% decrease in their position. The transaction was disclosed in a filing with the SEC, which is accessible through this hyperlink. Also, Director Louise C. Forlenza sold 8,278 shares of the business’s stock in a transaction that occurred on Wednesday, November 12th. The stock was sold at an average price of $65.00, for a total value of $538,070.00. Following the sale, the director owned 3,943 shares of the company’s stock, valued at approximately $256,295. This trade represents a 67.74% decrease in their ownership of the stock. The disclosure for this sale is available in the SEC filing. Insiders sold a total of 236,372 shares of company stock worth $14,572,507 over the last ninety days. 12.20% of the stock is currently owned by corporate insiders.
Institutional Inflows and Outflows
Several hedge funds have recently added to or reduced their stakes in INOD. Principal Financial Group Inc. boosted its stake in Innodata by 8.1% during the 1st quarter. Principal Financial Group Inc. now owns 22,047 shares of the technology company’s stock worth $791,000 after purchasing an additional 1,661 shares during the last quarter. Bank of New York Mellon Corp lifted its stake in shares of Innodata by 10.3% in the first quarter. Bank of New York Mellon Corp now owns 79,641 shares of the technology company’s stock worth $2,859,000 after buying an additional 7,415 shares in the last quarter. Envestnet Asset Management Inc. acquired a new position in Innodata during the first quarter worth about $623,000. Alps Advisors Inc. acquired a new position in Innodata during the first quarter worth about $281,000. Finally, Arizona State Retirement System purchased a new stake in Innodata during the 1st quarter valued at about $283,000. 30.75% of the stock is owned by institutional investors and hedge funds.
About Innodata
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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