CS TECH Ai Lists On NSE After Decade Of Growth
ECONOMY & POLICY

CS TECH Ai Lists On NSE After Decade Of Growth

CS TECH Ai has begun trading on the National Stock Exchange, extending its capital markets presence after being listed on the BSE since 2014. The Company operates at the intersection of engineering, geospatial intelligence and AI-enabled platforms and provides infrastructure solutions across sectors. The chairman reflected on the Company’s evolution and set out a continued emphasis on disciplined expansion, strengthened governance and long-term shareholder value through technology-led services.

Financial performance over the past decade has been resilient. Revenue increased from Rs. 1,080 million (mn) in FY 2014–15 to Rs. 4,180 mn in FY 2024–25, while revenue of Rs. 4,900 mn in the first nine months of FY 2025–26 already exceeded the prior full year. EBITDA rose from Rs. 200 mn to Rs. 980 mn over the same period and surpassed Rs. 1,280 mn in the latest nine months.

Profit after tax expanded from Rs. 70 mn in FY 2014–15 to over Rs. 960 mn in the first nine months of FY 2025–26, and the Company has declared aggregate dividends of around 215 per cent since FY 2014–15. The business combines engineering depth with AI-driven digital platforms and geospatial capabilities to serve water, energy, transportation, land and utilities sectors, seeking scalable, technology-enabled solutions for infrastructure development.

Key initiatives highlighted at the listing event include IoT-enabled centralised monitoring for rural water supply schemes in Maharashtra to uphold service level benchmarks under JJM, and a Digital Project Management System that supports online real-time physical and financial monitoring of more than 900 water infrastructure schemes in the state. The Company has prepared detailed project reports and engineering surveys using aerial LiDAR and related technologies for large inter-basin river linking proposals aimed at providing additional irrigation of zero point four mn hectares in Vidarbha, and applies AI-driven analytics and digital twin techniques to improve planning and lifecycle management. With listings on both exchanges, management expects broader institutional participation, enhanced liquidity and reinforced governance to support long-term value creation.

CS TECH Ai has begun trading on the National Stock Exchange, extending its capital markets presence after being listed on the BSE since 2014. The Company operates at the intersection of engineering, geospatial intelligence and AI-enabled platforms and provides infrastructure solutions across sectors. The chairman reflected on the Company’s evolution and set out a continued emphasis on disciplined expansion, strengthened governance and long-term shareholder value through technology-led services. Financial performance over the past decade has been resilient. Revenue increased from Rs. 1,080 million (mn) in FY 2014–15 to Rs. 4,180 mn in FY 2024–25, while revenue of Rs. 4,900 mn in the first nine months of FY 2025–26 already exceeded the prior full year. EBITDA rose from Rs. 200 mn to Rs. 980 mn over the same period and surpassed Rs. 1,280 mn in the latest nine months. Profit after tax expanded from Rs. 70 mn in FY 2014–15 to over Rs. 960 mn in the first nine months of FY 2025–26, and the Company has declared aggregate dividends of around 215 per cent since FY 2014–15. The business combines engineering depth with AI-driven digital platforms and geospatial capabilities to serve water, energy, transportation, land and utilities sectors, seeking scalable, technology-enabled solutions for infrastructure development. Key initiatives highlighted at the listing event include IoT-enabled centralised monitoring for rural water supply schemes in Maharashtra to uphold service level benchmarks under JJM, and a Digital Project Management System that supports online real-time physical and financial monitoring of more than 900 water infrastructure schemes in the state. The Company has prepared detailed project reports and engineering surveys using aerial LiDAR and related technologies for large inter-basin river linking proposals aimed at providing additional irrigation of zero point four mn hectares in Vidarbha, and applies AI-driven analytics and digital twin techniques to improve planning and lifecycle management. With listings on both exchanges, management expects broader institutional participation, enhanced liquidity and reinforced governance to support long-term value creation.

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