CYBERTECH (CYBERTECH): Buyback

Strota Newsroom · session of 2026-06-23 · 23 Jun 15:46 · CYBERTECH stock page →

Cybertech Systems And Software Limited has informed the Exchange regarding Closure of Buy Back with effect from 0 , Historically, buyback events have moved CYBERTECH-type stocks in the bullish direction 57.1% of the next sessions (n=42).

Cybertech Systems And Software has closed its share buyback programme, according to an exchange filing dated 23 June 2026. The company had announced a ₹14.45 crore buyback at ₹170 per share, which opened on 4 June 2026. The buyback closure was reported to the NSE after market hours on Tuesday.

Events like this have historically shown a 57.1% win rate across 42 comparable instances, with a net edge of 0.374%, according to Strota's base-rate data for buyback closures. This represents the historical frequency of positive outcomes following similar corporate actions, not a forecast for this specific stock.

Cybertech currently trades at a price-to-earnings ratio of 15.01 and a price-to-book ratio of 2.15, with a market capitalisation of ₹456 crore. The company reported return on equity of 13.2% and earnings per share of ₹9.75, with a dividend yield of 2.73%. The Nifty declined 1.16% on the session.

The filing confirms the buyback has concluded; it does not establish whether the programme was fully subscribed, the final acceptance ratio, or any immediate balance-sheet impact. The historical base rate describes past patterns across multiple stocks, not the probability of any specific price movement in Cybertech.

The catalyst

Cybertech Systems And Software Limited has informed the Exchange regarding Closure of Buy Back with effect from 0 , (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.

CYBERTECH right now

P/E 15.01. Full CYBERTECH 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.