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A source-linked quarter view: reported numbers, management language, guidance, and the risks that should carry forward.
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Revenue
₹99.74 Cr
verified against source
Revenue YoY
9%
reported change
EBITDA
₹-4 Cr
latest reported figure
Source
screener in
record provenance
Actual signal trajectory
Where this quarter sits.
Quarter read
What the record says.
NIIT reported FY26 revenue of ₹390.2 crore, up 9% YoY, ahead of its 7-8% guidance. EBITDA was negative ₹4 crore (margin -1%), within guided range, reflecting deliberate investments in GTM, AI offerings, and the IM Neo acquisition. Order intake grew 17% YoY to ₹420 crore, exceeding revenue and providing a positive book-to-bill heading into FY27. AI programs contributed 8% of Q4 revenue, and the company expects double-digit revenue growth in Q1 FY27. Management highlighted a structural opportunity in reskilling for AI, with enterprise tech growing 20% YoY. However, organic revenue (ex-IM Neo) was flat, and BFSI segment declined 12% YoY. Key risk: economic uncertainty and continued pressure on fresher hiring could delay margin recovery.
Colored figures show movement against the previous available record.
Guidance to track
- Management expects double-digit year-on-year revenue growth in Q1 FY27.
- EBITDA margin expected to be break-even to low single-digit negative in Q1 due to continued investments.
- Overall FY27 expected to have stronger revenue growth and improving margins compared to FY26.
Risks flagged
- Management acknowledged economic uncertainty could impact growth, making it difficult to provide full-year guidance.
- Analyst noted organic revenue (ex-IM Neo) was slightly down, raising concerns about execution despite strong order intake.
- BFSI and other programs revenue grew only 4% YoY, with large private banks' learning spend under pressure.
- Analyst raised concern about increasing competition in AI skilling; management acknowledged but expressed confidence in differentiation.
Key quotes
- AI represents one of the most significant demand opportunities in IT. It is happening now, not in the future.
- Training is moving from skilling to capability orchestration. Completion rates do not prove judgment under uncertainty, AI output verification or agentic workflow design. That is precisely the opportunity for NIIT.
- We are past the peak of the investment cycle as it came to platform and products.
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