INOD
Innodata Inc.
INOD
44.74USD
-25.32%
Oct 28, 2026
Price
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Price Action
Price trend is broken
Longer-term context reads trend under pressure, with a near-term setup of failed reclaim.
The tactical setup reads failed reclaim, but the weekly structure is broken.
EntryWeak / unconfirmed recovery
The daily chart may be improving, but the weekly fast averages have not been reclaimed — the recovery is not yet confirmed on the higher timeframe.
Key Financials
- Market Cap
- $1.5B
- Avg Volume (60D)
- 1.5M
- Revenue Growth YoY
- +47.6%
- Gross Margin
- +43.2%
- Operating Margin
- +17.1%
- Free Cash Flow Yield
- +12.0%
- P/E
- 33.1x
60 sessions
FY2025 vs FY2024
Trailing twelve months
Market metrics as of Oct 27, 2026
Financial results for the period ended Jun 30, 2026
Filed balance-sheet data as of Jun 30, 2026
Fundamentals & Valuation
One of the two valuation perspectives says cheap; peers is the dissenting view.
Innodata Inc. has a Cheap valuation stance because current market expectations look undemanding relative to the cash the business actually produces. It trades at a 8.9% free-cash-flow yield, which the underlying economics comfortably support.
What changed
- INOD fell 25.3% in one sessionINOD closed -25.3% while the broad market was close to flat (+0.6%).2026-10-27
Company Research
Thesis
Innodata is a direct AI-data-services enabler: its Digital Data Solutions business supplies training and post-training data, human preference optimization, evaluation, safety testing, and related data-engineering work for AI builders and adopters.
Opportunity
High opportunity
Spending by frontier-model developers and enterprise AI adopters on the specialized data creation, annotation, human-feedback, fine-tuning, safety testing, red-teaming, and evaluation workflows required to build, improve, and deploy reliable AI systems.
Key risk
Dependence on AI technology adoption rates.
Economic classification
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Business & Markets
Technology · Information Technology Services
What they do
Innodata Inc. provides data engineering services internationally, operating through three segments that focus on AI data solutions, medical record digitization, and AI-enabled platforms.
How it earns
The company generates revenue primarily through project-based and service contracts related to data processing and AI solutions.
Products & services
AI training and post-training data
Medical record digitization platform
AI model deployment and integration
Customers & end markets
Technology companies requiring AI data services
Healthcare and insurance providers
Market position
Niche player specializing in AI data engineering and healthcare data digitization.
Demand drivers
Medium cyclicality
Demand for AI and healthcare data services can fluctuate with technology adoption and healthcare industry cycles.