SIS (SIS): Buyback

Strota Newsroom · session of 2026-06-30 · 29 Jun 20:57 · SIS stock page →

SIS Limited has informed the Exchange regarding a press release dated June 29, 2026, titled "Press Release - Proposed Bu… Historically, buyback events have moved SIS-type stocks in the bullish direction 57.1% of the next sessions (n=42).

SIS Limited has informed the Exchange about a proposed buyback of equity shares, according to an NSE filing dated June 29, 2026. News reports indicate the company plans to buy back shares worth up to ₹120 crore at ₹478.50 per share, marking its fifth such exercise since listing.

Events like this have historically shown a 57.1% win rate across 42 comparable instances in Strota's database, with a net edge of 0.374%. These base rates reflect past outcomes for buyback announcements generally, not a forecast for SIS specifically.

The stock currently trades at a price-to-earnings ratio of 45.07 and a price-to-book ratio of 2.42, with a market capitalisation of ₹6,159 crore. Return on equity stands at 5.6%, while the dividend yield is 3.21%. Earnings per share are reported at ₹9.67. The Nifty declined 0.46% on the session.

The filing confirms the board's approval of the buyback proposal; it does not establish the final acceptance ratio, record date, or whether the market price will trade above or below the buyback price of ₹478.50 when the offer opens.

The catalyst

SIS Limited has informed the Exchange regarding a press release dated June 29, 2026, titled "Press Release - Proposed Buyback of Equity Shares of the Company". (filing · NSE)

What the data shows after this event

Across Strota's backtest of past filings, Buyback tends to continue — the move went bullish in about 57.1% of next sessions (net 0.374% after drift and cost, n=42). A base rate, not a forecast for this stock.

SIS right now

P/E 45.07. Full SIS analysis →

Sources

Keep digging

How this article was made: Strota assembled the exchange data above (prices, F&O open interest, bulk/block deals, SEBI PIT filings, indicator readings and public headlines) and an AI model wrote the narrative strictly from that evidence — it is not permitted to add outside facts or numbers. Every figure comes from the underlying exchange/public data.