INOD Shares Surge 397.7% Year to Date: Time to Buy the Stock?

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Innodata Inc. INOD, a leading provider of data engineering services for generative AI development, has emerged as one of the standout performers of 2024, with its shares skyrocketing 397.7% year to date, outperforming the Zacks Computer and Technology sector’s growth of 30.6%. The company's exceptional third-quarter results and expanding presence in the AI sector suggest that this growth trajectory could continue, making it an attractive investment opportunity.

Year-to-date Performance

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Stellar Financial Performance

The company's third-quarter results showcase remarkable growth across key metrics. Revenues reached a record $52.2 million, representing a substantial 136% year-over-year increase. More impressively, net income surged to $17.4 million ($0.60 per basic share) compared with just $0.4 million in the same period last year. The adjusted EBITDA demonstrated exceptional growth, rising 337% year over year to $13.9 million from $3.2 million, highlighting the company's improving operational efficiency.

Strategic Position in the AI Ecosystem

What makes Innodata particularly compelling is its strategic positioning within the AI industry. The company has secured relationships with five of the Magnificent Seven tech companies, demonstrating its crucial role in the AI ecosystem. A significant milestone was achieved in the third quarter with the addition of a prominent social media platform as the eighth Big Tech customer, further validating its service offering.

The company generated $30.6 million in revenues from just one Big Tech customer in the third quarter, exceeding its previous estimate of $27.6 million in quarterly revenues at full ramp. This outperformance suggests strong execution capabilities and potential for further growth with other clients.

Growth Catalysts and Market Opportunity

Several factors support a bullish outlook for Innodata. Morgan Stanley's recent report projects combined CapEx of approximately $300 billion in 2025 and $337 billion in 2026 for Amazon, Google, Meta and Microsoft, specifically for generative AI and LLM-enabled opportunities. This massive investment trend directly benefits Innodata as a key provider of AI training data and related services.

The company's expertise in supervised fine-tuning data, which includes instruction-tuning data and Reinforcement Learning from Human Feedback, positions it well to capitalize on the growing demand for high-quality AI training data. Additionally, Innodata is expanding into pre-training data sourcing and transformation, addressing critical issues around IP rights and model collapse in web-scraped data.