Latent View Analytics (LATENTVIEW) Q2 24/25 earnings summary

Executive summary

• Targeting $200–$220 million revenue by FY27/28, aiming to double current size within 2–3 years, driven by organic and inorganic growth, including the Decision Point acquisition.

• Achieved 28% revenue growth in H1FY25 compared to H1FY24, reaching INR 3,878 million, with adjusted EBITDA margin at 22% and consistent client satisfaction scores above 8.5.

• Expanded global footprint to over 1,600 employees, servicing clients across North America, LATAM, APAC, UK, and EU, with 76% of revenue from clients served for over five years.

• Recognized as a leader in supply chain analytics and data science services, and awarded Best Brand of the Year 2024.

• Unaudited financial results for the quarter and half-year ended September 30, 2024, were approved and reviewed, with an unqualified auditor's report confirming compliance with Indian Accounting Standards and SEBI regulations.

Financial highlights

• Revenue has doubled since FY21, with most growth being organic except for the recent Decision Point acquisition; Q2FY25 revenue from operations rose 34.2% YoY to ₹2,090 million.

• Adjusted EBITDA margin for the most recent quarter was 22.5%, with expectations to reach 24–25% in H2 and maintain this level over the next two years.

• PAT for Q2FY25 was ₹399 million, up 17.3% YoY; basic EPS at 1.94, up 16.6% YoY.

• Seven consecutive quarters of sequential revenue growth achieved.

• Revenue from financial services (BFSI) sector grew 57% YoY.

Outlook and guidance

• Revenue guidance for FY25 is $100–$105 million (pro forma for Decision Point), with no major improvement in demand environment assumed.

• Plans to expand marketing analytics, drive scalable GenAI solutions, and enhance data engineering through partnerships.

• Focus on growing nearshore centers in Canada, Mexico, and LATAM, and increasing APAC presence with GCC hubs.

• Investing in talent upskilling and L&D partnerships to build a scalable workforce.

• Growth to be driven by both organic initiatives and targeted M&A, especially in data engineering.