Financial Performance Highlights
Q1 FY2027 Results (Consolidated):
- Revenue from Operations: ₹747.2 crore, representing 20.4% year-over-year growth (compared to ₹620.7 crore in Q1 FY2026)
- EBITDA: ₹167.6 crore, representing 20.0% year-over-year growth
- EBITDA Margin: 22.4%, largely in line with Q1 FY2026 (22.5%)
- PBT: ₹157.8 crore, representing 22.1% year-over-year growth
- PAT: ₹128.4 crore, representing 21.7% year-over-year growth (compared to ₹105.5 crore in Q1 FY2026)
Business Segment Performance
CPCU Business:
- Converted Users: 12.4 crore in Q1 FY2027
- CPCU Revenue: ₹745.5 crore, representing 20.2% year-over-year growth
Strategic Developments
Recent Acquisition:
- The company acquired strategic AdColony assets during the quarter
- This acquisition strengthens the AI-powered Consumer Platform stack
Technology and Platform Development:
- Enhanced AI-powered Consumer Platform stack to drive user conversions across:
- Mobile devices
- CTV (Connected TV)
- Agentic/Autonomous Intelligent Connected Devices (AICDs)
- Deep verticalization strategy implementation
- Expanded IP portfolio enhancing human-vs-non-human data distillation
Management Commentary
Anuj Khanna Sohum, Chairperson, MD & CEO, commented:
- Q1 FY2027 marks another milestone in Affle's compounding growth story
- Company has built strong track record of consistent growth across all key performance parameters over seven years since public listing
- Continued growth momentum reinforces confidence in delivering medium-term guidance
- Vision of 10x continues to drive sustained growth across key industry verticals
- Maintaining balanced expansion across geographies
- Committed to creating sustainable long-term value for all stakeholders
Business Model and Strategy
- Differentiated CPCU (Cost Per Converted User) business model
- Consumer intelligence driven global technology company
- Enables verticalized AI-led consumer conversions for advertisers globally
- Proprietary data, deep audience intelligence and advanced agentic AI capabilities
- Maximizes user engagement across connected devices with algorithms beyond automation