Innodata Inc. is a global data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company is headquartered in Ridgefield Park, New Jersey.
| Revenue (TTM) | $317.16M |
| Gross Profit (TTM) | $137.01M |
| EBITDA | $59.25M |
| Operating Margin | 17.20% |
| Return on Equity | 37.80% |
| Return on Assets | 14.20% |
| Revenue/Share (TTM) | $9.75 |
| Book Value | $4.64 |
| Price-to-Book | 15.07 |
| Price-to-Sales (TTM) | 7.50 |
| EV/Revenue | 7.03 |
| EV/EBITDA | 35.03 |
| Quarterly Earnings Growth (YoY) | 105.00% |
| Quarterly Revenue Growth (YoY) | 57.80% |
| Shares Outstanding | $34.38M |
| Float | $33.09M |
| % Insiders | 4.85% |
| % Institutions | 58.54% |
Volatility is currently expanding
Innodata Inc (INOD) witnessed a jump in share price last session on above-average trading volume. The latest trend in earnings estimate revisions for the stock doesn't suggest further strength down the road.
INOD is expanding into agentic reinforcement learning, winning AI programs and scaling enterprise tools as revenues surge and competition intensifies.
INOD's AI growth is accelerating as customer concentration eases, margins expand and new opportunities broaden its revenue base.
One of the nation's most senior cyber and intelligence leaders will help guide Innodata's strategy as it accelerates Federal and cyber-related AI initiatives. NEW YORK, NY / ACCESS Newswire / September 15, 2026 / INNODATA INC.
INOD stock's 47% slide contrasts with strong AI demand and rising profits, but customer concentration and a premium valuation cloud the recovery path.
Innodata Inc. INOD is expanding its AI capabilities beyond data preparation and model training into the deployment and assurance of enterprise AI agents. This shift could create a new avenue for growth as companies move from developing AI agents to using them in production environments.
When investors think about artificial intelligence, NVIDIA usually steals the spotlight. But the AI boom extends far beyond GPUs, creating opportunities across data preparation, networking, and infrastructure.
INOD is turning AI research into scalable programs, lifting revenues 58% and supporting at least 40% growth guidance for 2026.
INOD's 49% gross margin and 58% revenue growth highlight the potential for stronger AI-driven profitability.
The rapid adoption of generative and agentic AI is expanding the demand for specialized data, model training, evaluation and AI-enabled digital services. Innodata INOD and TaskUs TASK offer two different ways to tap into this opportunity.
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