Innodata

INOD

Market cap $1.42B

INOD stock dips 32.8% in 3 months as valuation stays rich and EPS estimates drop, though AI-driven revenue growth and new programs remain strong.

NEW YORK CITY, NY / ACCESS Newswire / April 15, 2026 / INNODATA INC. (Nasdaq:INOD) today announced that it will report First Quarter 2026 results after the market closes on Thursday, May 7, 2026.

Innodata taps surging demand for high-quality AI data, driving 48% growth and positioning for over 35% gains as data, not compute, powers next-gen models.

Innodata, which has three-and-a-half decade old expertise in data engineering, has outperformed other data refiners quite handsomely over the past year. INOD's data moat and its stress-testing capabilities in the development of agentic AI systems position it well for the future. INOD's revenue, which has averaged over 35% over the past 5 years, is expected to grow at 37% in FY26, while it also has a solid balance sheet.

INOD's rising ties with Mag 7 giants fuel AI-driven growth, boosting scale, diversification and positioning in high-value data engineering.

The artificial intelligence (AI) boom is increasingly being shaped not just by models but by the data ecosystems that power them. As enterprises move from experimentation to production-scale AI deployments, demand is rising for both high-quality data engineering services and scalable cloud data platforms.

NEW YORK, NY / ACCESS Newswire / March 24, 2026 / INNODATA INC. (Nasdaq:INOD) today announced that its 2026 annual meeting of shareholders is scheduled for Thursday, June 4, 2026, at 5:00 PM eastern time.

Innodata Inc. INOD continues to benefit from surging demand for AI training and data engineering services, positioning itself as a key enabler in the generative AI ecosystem. The company delivered strong 2025 results, with revenue growth driven by expanding engagements across model development, evaluation and optimization.

Innodata's rising EBITDA margins and 22% revenue growth highlight strong operating leverage as AI-driven demand boosts efficiency and future upside potential.

INOD's hybrid AI model blends human expertise with automation and synthetic data, aiming to boost margins while supporting strong revenue growth.