One-glance verdict
$41.10 our estimate vs market $69.21
Wall Street consensus: $122.75 (198.7% higher than our fair-value estimate)
68% above our estimate, beyond the bull case
Fundamentals snapshot
INOD · NGM · Technology · Information Technology Services
Current price
$69.21
52-week range
$34.23 - $125.14
Market cap
$2.38B
One-glance verdict
Wall Street consensus: $122.75 (198.7% higher than our fair-value estimate)
68% above our estimate, beyond the bull case
Balance sheet
Net cash $246.54M. Interest coverage shows how many times profit covers the interest bill.
What stands out
What this company does
Innodata is a technology company that helps other businesses adopt artificial intelligence (AI), primarily by preparing the huge amounts of data needed to train AI systems. It also earns money from two other software products: one that organizes messy medical records for insurance companies and another that helps public relations teams track media. This is important because as more industries from banking to healthcare try to use AI, they often need the specialized data and tools that Innodata provides.
Founded in 1988, Innodata started by helping companies convert physical documents and other non-digital information into digital formats. This was its main business for many years, and it grew by setting up large operational centers in places like the Philippines, India, and Sri Lanka. Over time, the company shifted its focus, first getting into the e-book creation business and later expanding into more specialized areas. A key turning point was its strategic move toward artificial intelligence (AI), where it now helps major tech companies prepare and engineer the massive amounts of data needed to train AI systems.
Innodata is a data engineering company, which means it helps other businesses clean up, organize, and make sense of large amounts of information. Think of it like a company that takes messy, unstructured data—like doctors' handwritten notes or thousands of news articles—and turns it into clean, organized data that a computer can easily understand and use. This organized data is crucial for training artificial intelligence systems, making business decisions, and creating digital products. The company provides these services to major technology firms, as well as companies in finance, insurance, and media.
This is Innodata's largest and most important business area, focused on preparing data for artificial intelligence. Companies building AI, including some of the biggest names in tech, pay Innodata to process and label huge volumes of text, images, and other information that they use to 'train' their AI models. This segment acts as a critical part of the AI supply chain (the process of gathering and preparing resources to build a product). It is the core of the company's strategy and where it is most focused on growing.
This part of the company offers a specialized platform for the insurance and healthcare industries. Synodex takes unstructured medical records—like a patient's entire medical history file—and transforms them into organized, digital data. Insurance companies are the main customers; they use this structured data to more easily and quickly make decisions, such as for underwriting new life insurance policies. While smaller than the main data solutions business, it provides a steady, specialized service.
Agility is a software and services business designed for public relations (PR) and communications professionals. It provides a platform that helps PR teams find journalists, send out press releases, monitor news coverage about their brand, and analyze the results of their campaigns. Customers, which include PR agencies and corporate communications departments, pay for access to this all-in-one toolkit. This segment was built up through acquisitions and operates as a distinct software-focused business within Innodata.
Management is heavily focused on positioning Innodata as a key partner for companies developing advanced AI, especially generative AI. They are betting that the need for high-quality, human-processed data to train, test, and ensure the safety of these AI models will continue to grow rapidly. The strategy involves deepening relationships with large technology companies that are leading AI development. They are also investing in their own technology to make the process of data engineering more efficient and to handle more complex AI-related tasks.
Price history
Earnings history
Click any quarter to read the call summary and what the numbers say.
Is it cheap or expensive?
Wall Street consensus is the average analyst price target: $122.75 (198.7% higher than our fair-value estimate).
Our most-likely fair value is $41.10 a share — about 40.6% below today's price of $69.21, so the stock currently looks expensive (overvalued).
Is it drowning in debt?
Net cash $246.5M - more cash than debt. Interest coverage 222.8x.
Innodata Inc.'s profit covers its interest bill about 222.8 times over. which is stronger than every peer shown here.
Total debt $3.83M Interest coverage 222.75x This is the baseline the peer rows are being compared against.
Total debt $546.35M Interest coverage 7.68x -97% vs INOD Carries about 29.0x less debt cushion than INOD.
Total debt $517.85M Interest coverage 6.18x -97% vs INOD Carries about 36.1x less debt cushion than INOD.
Total debt $564.79M Interest coverage 4.72x -98% vs INOD Carries about 47.2x less debt cushion than INOD.
What you should know
The numbers
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What you should know