Logotype for NIIT Learning Systems Limited

NIIT Learning Systems (NIITMTS) Q3 25/26 earnings summary

Event summary combining transcript, slides, and related documents.

Logotype for NIIT Learning Systems Limited

Q3 25/26 earnings summary

3 Feb, 2026

Executive summary

  • Q3 FY26 revenue was INR 4,997 million, up 19% YoY and 5% QoQ, with organic growth at 14% YoY, driven by client ramp-ups and wallet share expansion.

  • AI-enabled revenue reached 11% of total business, reflecting progress on the AI-first strategy and enterprise deployments.

  • Four new MTS clients were signed, four renewals completed, and one significant scope expansion delivered, increasing MTS customer tally to 107 and revenue visibility to USD 415 million.

  • Acquisition of SweetRush, an AI-enabled learning provider, was completed for up to $26 million in January 2026, expected to be EPS accretive from FY27.

  • Profit after tax for the quarter was INR 743 million, with EPS at INR 5.42, up from INR 4.54 YoY and INR 3.4 last quarter.

Financial highlights

  • Revenue for Q3 was INR 4,997 million, up 19% YoY and 5% QoQ; constant currency growth was 11% YoY and 2.5%-3% QoQ.

  • EBITDA was INR 1,038 million, up 10% YoY and 7% QoQ, with EBITDA margin at 20.8%-21%.

  • PAT stood at INR 743 million, up 20% YoY and 58% QoQ; EPS was INR 5.42.

  • Net cash position was INR 6,927 million, up INR 1,010 million QoQ.

  • CapEx for the quarter was INR 126 million, reflecting ongoing AI and infrastructure investments.

Outlook and guidance

  • Q4 revenue growth expected at 10%-12% QoQ or 25%-26% YoY in constant currency, aided by contract pipeline, client ramp-ups, and SweetRush acquisition.

  • FY26 revenue growth expected at 14.5%-15% in constant currency; margins guided at 20%-21% for Q4 and full year.

  • SweetRush margins expected to become accretive in 6-8 quarters; EPS accretive from FY27.

  • Global growth projected at 3.3% in 2026 and 3.2% in 2027, with technology investment, especially AI, as a key driver.

  • Persistent cost pressures and macro caution are leading to smaller, phased rollouts and decision delays.

Partial view of Summaries dataset, powered by Quartr API
AI can get things wrong. Verify important information.
All investor relations material. One API.
Learn more