Innodata (INOD) Set to Release Earnings on Thursday

Key Points

• Innodata is expected to report Q3 2026 results on November 5 after the market close, with analysts forecasting $0.169 in EPS and $83.32 million in revenue.
• The company exceeded expectations in its latest quarter, reporting $0.41 EPS versus $0.21 expected and 57.8% year-over-year revenue growth; analysts maintain a “Moderate Buy” consensus with a $116.67 target price.
• Despite growth prospects from its AI pipeline, the stock faces significant uncertainty from reported layoffs, potential legal and disclosure risks, insider selling, and elevated volatility after shares fell well below their 12-month high.

Innodata (NASDAQ:INOD - Get Free Report) is projected to announce its Q3 2026 results after the market closes on Thursday, November 5th. Analysts expect Innodata to post earnings of $0.1690 per share and revenue of $83.32 million for the quarter. Parties can check the company's upcoming Q3 2026 earnings overview page for the latest details on the call scheduled for Thursday, November 5, 2026 at 5:00 PM ET.

Innodata (NASDAQ:INOD - Get Free Report) last posted its quarterly earnings results on Thursday, August 6th. The technology company reported $0.41 earnings per share (EPS) for the quarter, topping analysts' consensus estimates of $0.21 by $0.20. The company had revenue of $92.14 million during the quarter, compared to analyst estimates of $86.31 million. Innodata had a net margin of 14.66% and a return on equity of 37.79%. Innodata's revenue for the quarter was up 57.8% compared to the same quarter last year. During the same period last year, the firm posted $0.20 EPS. On average, analysts expect Innodata to post $1.35 EPS for the current fiscal year and $1.89 EPS for the next fiscal year.

Innodata Stock Up 6.5%

INOD stock opened at $47.65 on Thursday. The firm's fifty day simple moving average is $59.50 and its 200-day simple moving average is $61.76. The company has a market capitalization of $1.64 billion, a P/E ratio of 36.10 and a beta of 2.98. The company has a debt-to-equity ratio of 0.06, a current ratio of 1.73 and a quick ratio of 1.73. Innodata has a 12 month low of $34.23 and a 12 month high of $125.14.

Insider Buying and Selling

In other Innodata news, Director Louise Forlenza sold 10,000 shares of Innodata stock in a transaction on Monday, September 14th. The shares were sold at an average price of $53.54, for a total value of $535,400.00. Following the completion of the transaction, the director owned 5,424 shares of the company's stock, valued at approximately $290,400.96. The trade was a 64.83% decrease in their ownership of the stock. The transaction was disclosed in a filing with the Securities & Exchange Commission, which is accessible through this link. Corporate insiders own 11.80% of the company's stock.

Innodata News Roundup

Here are the key news stories impacting Innodata this week:

• Positive Sentiment: Steadier growth than comparable AI stocks: Innodata reportedly generated more revenue than SoundHound AI in all eight comparable quarters examined, with a more consistent upward trend and less quarter-to-quarter volatility. Innodata vs. SoundHound AI: Consistent Growth vs. Fluctuating Revenue
• Positive Sentiment: Potential to exceed its 2026 outlook: Innodata projects at least 40% revenue growth in 2026, while an expanding agentic-AI pipeline and sizable unbooked engagements could provide upside to that target. The company’s latest reported quarter also showed strong execution, with revenue growth of 57.8% year over year and earnings above consensus. Can Innodata's AI Pipeline Fuel Growth Beyond Its 40% Revenue Outlook?
• Positive Sentiment: Unusual call-option activity: Traders purchased approximately 17,030 call options, about 263% above average daily volume, suggesting speculative bullish interest and potentially contributing to volatility. This activity is not confirmation of improved fundamentals.
• Neutral Sentiment: Investor comparisons with SoundHound AI and C3.ai highlight continued demand for enterprise AI and automation, but they do not represent new contracts or financial guidance for Innodata. SoundHound vs. C3.ai: Which AI Stock Has More Growth Potential?
• Negative Sentiment: Layoff reports remain the dominant overhang: Reports indicate that roughly 550 workers in India and the Philippines were abruptly dismissed, with employee IDs allegedly deactivated mid-shift. Investors fear the cuts may signal the loss or reduction of a major AI client; Innodata has not confirmed the full scale of the reductions. Innodata Layoffs in India and the Philippines
• Negative Sentiment: Potential legal and disclosure risk: SueWallSt announced an investigation into whether investors were adequately informed about business-reduction risks associated with the layoffs. The investigation is preliminary and does not establish wrongdoing, but it adds uncertainty after the recent selloff. Innodata Investigation Notice

Wall Street Analyst Weigh In

Several research analysts recently issued reports on the stock. Zacks Research cut shares of Innodata from a "strong-buy" rating to a "hold" rating in a report on Tuesday, August 11th. Weiss Ratings lowered shares of Innodata from a "buy (b-)" rating to a "hold (c+)" rating in a report on Friday, July 31st. BWS Financial reaffirmed a "top pick" rating and set a $140.00 price target on shares of Innodata in a research report on Friday, September 18th. Finally, Yorkville Ives assumed coverage on Innodata in a research note on Monday, October 5th. They set an "outperform" rating and a $90.00 price objective for the company. One analyst has rated the stock with a Strong Buy rating, two have issued a Buy rating and two have given a Hold rating to the stock. Based on data from MarketBeat, Innodata presently has a consensus rating of "Moderate Buy" and a consensus target price of $116.67.

Innodata Company Profile

Innodata Inc NASDAQ: INOD is a global data engineering and technology company that helps organizations prepare, manage and use information for digital transformation and artificial intelligence initiatives. Its services are designed to support the development, training, evaluation and deployment of AI and machine-learning systems.

The company provides data annotation and labeling, data collection and preparation, content transformation, document processing, natural-language services, and generative AI support.

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