Wedbush Has Optimistic Outlook of Innodata FY2025 Earnings

Innodata Inc. (NASDAQ:INOD) – Research analysts at Wedbush increased their FY2025 earnings estimates for shares of Innodata in a research note issued to investors on Friday, November 7th. Wedbush analyst D. Ives now expects that the technology company will earn $0.92 per share for the year, up from their previous forecast of $0.82. Wedbush has a “Outperform” rating and a $90.00 price target on the stock. The consensus estimate for Innodata’s current full-year earnings is $0.81 per share. Wedbush also issued estimates for Innodata’s Q1 2026 earnings at $0.26 EPS, Q2 2026 earnings at $0.27 EPS, Q3 2026 earnings at $0.32 EPS, Q4 2026 earnings at $0.38 EPS and FY2026 earnings at $1.23 EPS.

Innodata (NASDAQ:INOD) last issued its quarterly earnings data on Thursday, November 6th. The technology company reported $0.24 earnings per share (EPS) for the quarter, topping 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 company had revenue of $62.55 million for the quarter, compared to the consensus estimate of $59.78 million. Innodata’s revenue was up 19.8% compared to the same quarter last year.

Other analysts also recently issued reports about the company. BWS Financial upped their price objective on Innodata from $74.00 to $110.00 and gave the company a “buy” rating in a research note on Friday, October 10th. Zacks Research raised Innodata from a “hold” rating to a “strong-buy” rating in a report on Monday, October 13th. Finally, Weiss Ratings restated a “hold (c+)” rating on shares of Innodata in a research note on Wednesday, November 5th. One equities research analyst has rated the stock with a Strong Buy rating, four have assigned a Buy rating and one has assigned a Hold rating to the company’s stock. According to data from MarketBeat.com, the stock presently has an average rating of “Buy” and a consensus price target of $80.00.

Innodata Price Performance

Shares of INOD opened at $68.54 on Monday. The company has a debt-to-equity ratio of 0.09, a quick ratio of 2.87 and a current ratio of 2.87. Innodata has a fifty-two week low of $26.41 and a fifty-two week high of $93.85. The firm has a 50-day simple moving average of $70.87 and a 200-day simple moving average of $52.95. The company has a market capitalization of $2.18 billion, a price-to-earnings ratio of 55.27 and a beta of 2.90.

Institutional Trading of Innodata

A number of institutional investors have recently modified their holdings of the business. Wellington Management Group LLP raised its position in Innodata by 177.8% in the first quarter. Wellington Management Group LLP now owns 793,041 shares of the technology company’s stock worth $28,470,000 after acquiring an additional 507,540 shares in the last quarter. Jump Financial LLC boosted its position in shares of Innodata by 1,058.5% during the 2nd quarter. Jump Financial LLC now owns 391,200 shares of the technology company’s stock worth $20,037,000 after purchasing an additional 357,433 shares in the last quarter. Nuveen LLC acquired a new position in shares of Innodata during the 1st quarter worth $12,310,000. HRT Financial LP grew its stake in shares of Innodata by 746.1% during the 2nd quarter. HRT Financial LP now owns 218,635 shares of the technology company’s stock worth $11,198,000 after purchasing an additional 192,794 shares during the period. Finally, First Trust Advisors LP purchased a new position in shares of Innodata in the 2nd quarter valued at about $7,825,000. 30.75% of the stock is currently owned by hedge funds and other institutional investors.

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.