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INOD 
Innodata Inc (INOD)
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Upturn Advisory Summary
12/22/2025: INOD (4-star) is currently NOT-A-BUY. Pass it for now.
Upturn Star Rating
Above Average Performance
These Stocks/ETFs, based on Upturn Advisory, frequently surpass the market, reflecting reliable and trustworthy advice.
Number of Analysts
5 Analysts rated it
Limited analyst coverage, niche firm, research info may be scarce.
1 Year Target Price $93.75
1 Year Target Price $93.75
| 3 | Strong Buy |
| 2 | Buy |
| 0 | Hold |
| 0 | Sell |
| 0 | Strong Sell |
Analysis of Past Performance
Type Stock | Historic Profit 37.88% | Avg. Invested days 26 | Today’s Advisory PASS |
Upturn Star Rating | Upturn Advisory Performance  3.0 | Stock Returns Performance  3.0 |
| Profits based on simulation | Last Close 12/22/2025 |
Key Highlights
Company Size Small-Cap Stock | Market Capitalization 1.73B USD | Price to earnings Ratio 52.12 | 1Y Target Price 93.75 |
Price to earnings Ratio 52.12 | 1Y Target Price 93.75 | ||
Volume (30-day avg) 5 | Beta 2.39 | 52 Weeks Range 26.41 - 93.85 | Updated Date 12/22/2025 |
52 Weeks Range 26.41 - 93.85 | Updated Date 12/22/2025 | ||
Dividends yield (FY) - | Basic EPS (TTM) 1.04 |
Analyzing Revenue: Products, Geography and Growth
Revenue by Products
Product revenue - Year on Year
Revenue by Geography
Geography revenue - Year on Year
Earnings Date
Report Date - | When - | Estimate - | Actual - |
Profitability
Profit Margin 14.11% | Operating Margin (TTM) 18.8% |
Management Effectiveness
Return on Assets (TTM) 20.84% | Return on Equity (TTM) 46.66% |
Valuation
Trailing PE 52.12 | Forward PE 39.06 | Enterprise Value 1619448403 | Price to Sales(TTM) 7.24 |
Enterprise Value 1619448403 | Price to Sales(TTM) 7.24 | ||
Enterprise Value to Revenue 6.79 | Enterprise Value to EBITDA 34.69 | Shares Outstanding 31860951 | Shares Floating 30531394 |
Shares Outstanding 31860951 | Shares Floating 30531394 | ||
Percent Insiders 4.69 | Percent Institutions 55.65 |
Upturn AI SWOT
Innodata Inc
Company Overview
History and Background
Innodata Inc. was founded in 1988 as InfoTech, Inc. and rebranded to Innodata Inc. in 2001. The company has evolved from a content management and data processing services provider to a technology-driven solutions company focused on AI and data transformation. Key milestones include acquisitions that expanded its service offerings and a strategic shift towards digital transformation and AI-powered services.
Core Business Areas
- Data Transformation and AI Services: Innodata offers a suite of services aimed at helping businesses transform their data into actionable insights. This includes data capture, data extraction, data cleansing, data annotation, and AI model training, all powered by proprietary AI technologies and domain expertise.
- Content Management and Digital Publishing: The company provides services related to content creation, editing, publishing, and management for various industries, including media, education, and legal. This segment focuses on delivering high-quality, structured content efficiently.
Leadership and Structure
Innodata Inc. is led by a management team with extensive experience in technology, data services, and business operations. The organizational structure is designed to support its service delivery and product development, with dedicated teams for AI/ML, data services, content solutions, and sales/marketing.
Top Products and Market Share
Key Offerings
- Innodata Intelligent Data Engine (IIDE): A proprietary AI-powered platform that automates data extraction, classification, and transformation. While specific market share data for this platform is not publicly disclosed, it competes with broader AI-driven data processing solutions from companies like IBM (Watson), Google (Cloud AI), and Microsoft (Azure AI). Revenue generated from this platform is a key driver of the company's growth.
- AI-Powered Data Annotation Services: Innodata provides specialized data annotation services crucial for training machine learning models. This service competes with numerous specialized data annotation providers and in-house solutions of large tech companies. The market for data annotation is growing rapidly.
- Digital Content Solutions: Services focused on creating, managing, and delivering digital content, often for industries requiring structured and compliant information. Competitors include large content service providers and specialized digital publishing platforms.
Market Dynamics
Industry Overview
Innodata operates in the rapidly evolving sectors of data analytics, AI services, and digital content solutions. The demand for AI-driven data transformation and intelligent automation is experiencing significant growth across all industries. The digital publishing and content management sectors are also undergoing a digital transformation, with a focus on efficiency and scalability.
Positioning
Innodata is positioned as a technology-driven solutions provider that leverages AI to deliver efficiency and accuracy in data processing and content management. Its competitive advantage lies in its proprietary AI technology, domain expertise, and a scalable, flexible service delivery model that can cater to complex data challenges. The company aims to be a partner for businesses seeking to unlock the value of their data.
Total Addressable Market (TAM)
The TAM for AI-powered data transformation and content solutions is vast and continues to expand. While specific figures for Innodata's precise TAM are not readily available, the global AI market is projected to reach hundreds of billions of dollars in the coming years, with significant portions dedicated to data processing, analytics, and automation. Innodata is positioned to capture a niche within this broad market, focusing on specialized data transformation and content AI solutions.
Upturn SWOT Analysis
Strengths
- Proprietary AI technology and platforms (e.g., IIDE)
- Domain expertise in data annotation and content solutions
- Agile and scalable service delivery model
- Established client base and long-term relationships
- Focus on high-growth AI and data transformation markets
Weaknesses
- Relatively smaller market capitalization compared to major tech players
- Dependence on client project pipelines
- Brand recognition could be enhanced in broader markets
- Need for continuous investment in R&D to stay ahead of AI advancements
Opportunities
- Increasing adoption of AI and automation across industries
- Growing demand for data annotation services for ML development
- Expansion into new geographic markets and industry verticals
- Strategic partnerships and potential acquisitions
- Leveraging AI to develop new innovative products and services
Threats
- Intense competition from established tech giants and specialized AI firms
- Rapid pace of technological change in AI and data processing
- Data privacy regulations and compliance challenges
- Economic downturns impacting client IT spending
- Talent acquisition and retention for specialized AI roles
Competitors and Market Share
Key Competitors
- Accenture plc (ACN)
- Cognizant Technology Solutions Corp (CTSH)
- Infosys Limited (INFY)
- Tata Consultancy Services Limited (TCS - NYSE listing)
- Capgemini SE (CAPP - EUR listing, but operates globally)
Competitive Landscape
Innodata competes in a fragmented market with both large, diversified IT service providers and smaller, niche AI and data solution companies. Its advantage lies in its specialized focus on AI-driven data transformation and content solutions, offering agility and tailored expertise. However, it faces challenges in competing with the scale, brand recognition, and extensive resources of larger players. The company's ability to innovate and adapt quickly to AI advancements is crucial.
Growth Trajectory and Initiatives
Historical Growth: Innodata has demonstrated a trajectory of revenue growth, particularly driven by its strategic focus on AI and data transformation services. Historical data would show a pattern of expansion in its service offerings and client base.
Future Projections: Analyst estimates for future growth are generally positive, driven by the increasing demand for AI-powered solutions. Projections often focus on continued revenue expansion and improved profitability as the company scales its AI offerings.
Recent Initiatives: Recent strategic initiatives likely include investments in AI research and development, expansion of its sales and marketing efforts to target new markets, and potentially partnerships or collaborations to enhance its technological capabilities and service offerings.
Summary
Innodata Inc. is a technology-driven company specializing in AI-powered data transformation and content solutions. Its strengths lie in its proprietary AI technology and domain expertise, while its growth is fueled by the expanding demand for AI services. The company faces intense competition from larger IT service providers and specialized AI firms. To maintain its growth trajectory, Innodata must continue to innovate, enhance its market presence, and effectively manage its resources.
Similar Stocks
Sources and Disclaimers
Data Sources:
- Innodata Inc. Official Investor Relations Website
- SEC Filings (10-K, 10-Q)
- Financial News and Analysis Websites (e.g., Bloomberg, Reuters, Yahoo Finance)
- Market Research Reports (general industry data)
Disclaimers:
This analysis is based on publicly available information and is for informational purposes only. It does not constitute financial advice. Investors should conduct their own due diligence before making any investment decisions. Market share data is estimated and may vary based on different market definitions and reporting methodologies.
AI Summarization is directionally correct and might not be accurate.
Summarized information shown could be a few years old and not current.
Fundamental Rating based on AI could be based on old data.
AI-generated summaries may have inaccuracies (hallucinations). Please verify the information before taking action.
About Innodata Inc
Exchange NASDAQ | Headquaters Ridgefield Park, NJ, United States | ||
IPO Launch date 1993-08-10 | Chairman & CEO Mr. Jack S. Abuhoff J.D. | ||
Sector Technology | Industry Information Technology Services | Full time employees 6597 | Website https://www.innodata.com |
Full time employees 6597 | Website https://www.innodata.com | ||
Innodata Inc. operates as a data engineering company in the United States, the United Kingdom, the Netherlands, Canada, and internationally. The company operates through three segments: Digital Data Solutions (DDS), Synodex, and Agility. The DDS segment engages in the provision of artificial intelligence (AI) data preparation services; collecting or creating training data; annotating training data; and training AI algorithms for its customers, as well as AI model deployment and integration services. This segment also provides a range of data engineering support services, including data transformation, data curation, data hygiene, data consolidation, data extraction, data compliance, and master data management. The Synodex segment offers an industry platform that transforms medical records into useable digital data with its proprietary data models or client data models. The Agility segment provides an industry platform that offers marketing communications and public relations professionals to target and distribute content to journalists and social media influencers; and to monitor and analyze global news channels, such as print, web, radio, and TV, as well as social media channels. It serves banking, insurance, financial services, technology, digital retailing, and information/media sectors through its professional staff, senior management, and direct sales personnel. The company was formerly known as Innodata Isogen, Inc. and changed its name to Innodata Inc. in June 2012. Innodata Inc. was incorporated in 1988 and is headquartered in Ridgefield Park, New Jersey.
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