NIITMTS

NIIT Learning Systems News

₹200.06-1.63%close, 9 Oct 2026
Market cap
₹2,751 crore
P/E
22.5
P/B
2.85
ROE
14.5%
Dividend yield
1.20%
52-week range
₹144.04 – ₹270.08

The latest update on NIIT Learning Systems is "NIIT Learning Systems Limited Reports Operational Performance & Quarterly Growth Update" (BSE Corporate Announcement), published 9 October 2026. This page lists 4 recent headlines and exchange announcements, 2 of them filed on BSE. NIIT Learning Systems' next board meeting for results is scheduled for 3 November 2026.

Latest NIIT Learning Systems news and announcements

Next results board meeting: 3 November 2026.

  1. NIIT Learning Systems Limited Reports Operational Performance & Quarterly Growth UpdateResults BSE Corporate Announcement · 9 Oct 2026
  2. Market Activity: NIIT Learning Systems Limited Shares See Strong Institutional VolumeNews Economic Times · 8 Oct 2026
  3. NIIT Learning Systems Limited Board Compliances & Mandatory Disclosure Filings SubmittedExchange filing BSE Filings · 7 Oct 2026
  4. Analyst Review: Key Valuation Overview & Target Projection for NIIT Learning Systems LimitedNews Financial Express · 5 Oct 2026

Source: Publisher headlines and announcements filed on BSE, linked to their original sources. Data as of 9 October 2026. How this data is compiled.

NIIT Learning Systems news & announcements — frequently asked questions

What is the latest news on NIIT Learning Systems?

The most recent item is "NIIT Learning Systems Limited Reports Operational Performance & Quarterly Growth Update" from BSE Corporate Announcement on 9 October 2026. The full list above links to each original source.

When are NIIT Learning Systems' next results?

NIIT Learning Systems has announced a board meeting on 3 November 2026 to consider its financial results, according to its filing on BSE.

Where do these NIIT Learning Systems headlines come from?

Headlines link to the original publisher, and exchange announcements link to the filing on BSE. ATS lists them by date and does not rewrite or summarise them.

Same Data For Peers

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