Share prices of a global data analytics company on Monday moved up by 8.74 percent to Rs. 492 from its previous close of Rs. 452.45, after the company announced its financial results for the December 2023 quarter.
With a market cap of Rs. 9,761.91 crore, shares of Latent View Analytics Ltd. opened at Rs. 459.80 and closed at Rs. 473.95 on January 29. The company has delivered nearly 24.74 percent returns in the last six months, whereas it has given more than 27.2 percent in the last one year. So far, it has given returns of around 3.9 percent in 2024.
The fluctuations in the share prices were observed after the company announced its financial results on Monday, for the third quarter and nine months ended 31st December 2023, through a recent filing with the stock exchanges.
The company’s revenue from operations grew by nearly 14 percent year-on-year basis from Rs. 145.35 crore in the December 2022 quarter to Rs. 165.68 crore in the December 2023 quarter.
On a quarterly basis, the revenue from operations of the company increased by 6.42 percent from Rs. 155.68 crore in the September 2023 quarter to Rs. 165.68 crore in the December 2023 quarter.
The net profit of the company increased by 37.1 percent in the December 2023 quarter at Rs. 46.5 crore from Rs. 34.02 crore in the September 2023 quarter.
However, the net profit on a year-on-year basis decreased by 11.33 percent from Rs. 52.47 crore in the December 2023 quarter to Rs. 46.52 crore in the December 2022 quarter.
As of December 2023, FIIs hold 2.54 percent of the shares, whereas DIIs hold 2.45 percent of the shares in the company, aggregating to 4.99 percent of the institutional holdings.
Unilever recently launched the DataLab Ecosystem to boost its in silico strategy through collaborative innovation, and LatentView is a partner in Unilever’s DataLab Ecosystem. Together, they’re scaling DataLab to jointly address the biggest innovation opportunities and shape the future of Unilever R&D.
Founded in 2006, Latent View Analytics Limited (LatentView) enables companies to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates and optimise investment decisions.
Written by Shivani Singh
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