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Fractal Analytics IPO price range set between Rs 857 to Rs 900 per share

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Fractal Analytics IPO price range set between Rs 857 to Rs 900 per share

in Market, Tech
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Fractal Analytics IPO price range set between Rs 857 to Rs 900 per share
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Athira Sethu

Kochi, 4 Feb 2026

Fractal Analytics, an Indian AI firm, has revealed the price band for its Initial Public Offering (IPO) that is to happen soon. The firm will issue its shares at a price ranging from 857 to 900 rupees per share, aiming to raise a total valuation of approximately $1.60 billion (around Rs 14,450 crore).

The IPO will open for retail investors on February 9, and anchor investors can start bidding for the firm’s shares from February 6. The bidding process will close on February 11. This means that Fractal Analytics is all set to become the first AI company in India to go public and be listed on the stock exchange.

Fractal Analytics is making its IPO debut in a less crowded market, as fewer firms are going public this year. Only three firms have made their IPOs in January, a huge decline from the 10 firms that made their IPOs in December. This is because of the weaker market conditions, which are a result of global trade and geopolitical tensions. But experts are of the view that 2026 will be a great year for IPOs in India, as it will follow two years of record-breaking fundraising.

Before its IPO, Fractal has now decided to cut down the size of its IPO by over 40%, and now plans to raise a total of Rs 2,834 crore. The company, which was established in 2000 and is headquartered in Mumbai, has large clients, including global technology giants such as Microsoft, Apple, Nvidia, Alphabet, and Tesla.

Fractal will use the funds raised from the IPO for a number of reasons. This includes clearing the debt of its U.S. subsidiary, setting up new offices in India, and also spending on research and development, with a focus on generative artificial intelligence.

After the IPO, the shares of Fractal are expected to list on the Indian stock exchanges from February 16.

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