Innodata reported Q4 FY2025 revenue of USD 72.4 million, up 22% year over year on an organic basis, and FY2025 revenue of USD 251.7 million, up 48% year over year organically. Q4 FY2025 net income attributable to shareholders was USD 8.8 million (USD 0.28 basic EPS; USD 0.25 diluted EPS), while FY2025 net income attributable to shareholders was USD 32.2 million (USD 1.01 basic EPS; USD 0.92 diluted EPS). Adjusted EBITDA was USD 15.7 million in Q4 FY2025 (up 11%) and USD 57.9 million for FY2025 (up 68%). Cash, cash equivalents and short-term investments totaled USD 82.2 million at Dec. 31, 2025. For 2026, Innodata said it anticipates approximately 35% or more revenue growth. Management highlighted innovations in dataset creation and evaluation for LLMs, AI agents and physical AI (robotics), including data efficacy-driven LLM training methodologies, long-context structured dataset creation, scalable data-driven attack simulation systems for adversarial resilience, large-scale dataset engineering for robotics (including egocentric and affordance-rich data), up to 25-point gains in AI agent constraint satisfaction, and a 6.45% improvement over prior state-of-the-art benchmarks in drone and small-object detection.
Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Innodata Inc. published the original content used to generate this news brief via ACCESS Newswire (Ref. ID: 202602261605ACCESSWRNAPR_____1125961) on February 26, 2026, and is solely responsible for the information contained therein.
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