Inventurus shares slip 5% amid broader market weakness despite strong Q3 earnings

Shares of Inventurus Knowledge Solutions, which debuted on Dalal Street in December, fell as much as 4.6% on Thursday to Rs 1,673 on the BSE amid a broader market weakness despite reporting strong earnings for the third quarter ended December 2024.

The decline comes even as the healthcare solutions provider posted a 16% year-on-year (YoY) increase in revenue for the third quarter at Rs 657.2 crore, while profit after tax (PAT) surged 28% YoY to Rs 129.7 crore in the December quarter. The company’s EBITDA jumped 24% YoY to Rs 200.6 crore, with margins crossing 30% for the first time in the December quarter, according to the company’s earnings release.

The company posted its third quarter earnings after market hours on Wednesday.


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Despite the upbeat earnings, broader market sentiment remained weak as benchmark indices Sensex and Nifty traded lower on Thursday ahead of the Reserve Bank of India’s monetary policy decision. Foreign institutional investors also pulled out fresh funds, adding to the pressure on mid-cap stocks.

Inventurus made a stellar stock market debut in December 2024, listing at a 43% premium on the NSE at Rs 1,900 over its issue price of Rs 1,329. Meanwhile, the stock listed at Rs 1,856 on the BSE, indicating 39.65% gain over issue price. The Rs 2,498 crore IPO saw an overwhelming 53 times subscription, though it was entirely an offer-for-sale (OFS), meaning no fresh funds were raised for the company.

However, the stock has been under pressure recently, declining 13.3% in the past month. Analysts noted that at a post-IPO price-to-earnings (P/E) ratio of 54.66x, the stock was fully priced at listing, leaving limited immediate upside.

Inventurus, founded in 2006, provides healthcare support services such as medical documentation management and virtual scribing. The company has expanded its AI-driven solutions to improve clinical efficiency, including a recently launched AI-powered version of its Scribble product for automated medical documentation.

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