Strota/ Newsroom/ 2026-06-24

PATINTLOG (PATINTLOG): Buyback

Strota Newsroom · session of 2026-06-24 · 23 Jun 19:19 · PATINTLOG stock page →

Patel Integrated Logistics Limited has informed the Exchange about Buyback Historically, buyback events have moved PATINTLOG-type stocks in the bullish direction 57.1% of the next sessions (n=42).

Patel Integrated Logistics Limited has informed the Exchange about a buyback, according to an NSE filing dated 23 June. The logistics company disclosed the board's decision to consider repurchasing equity shares, with the announcement following initial reports from five days prior that the board would deliberate on the proposal.

Events like this have historically shown a 57.1% win rate across 42 comparable instances, with a net edge of 0.374%, per Strota's base-rate data for buyback announcements. This figure represents the aggregated outcome of similar corporate events in the past, not a forecast for this specific stock.

The company currently trades at a price-to-earnings ratio of 10.49 and a price-to-book ratio of 0.81, with earnings per share of ₹1.38 and a market capitalisation of ₹101 crore. The dividend yield stands at 2.07%. The Nifty declined 1.16% on the session.

The filing confirms the buyback deliberation but does not specify the size, pricing, or timeline of the programme. The data establishes that the announcement occurred and records the stock's current valuation metrics; it does not establish whether the buyback will proceed, at what premium, or how the market will ultimately price the reduction in share count.

The catalyst

Patel Integrated Logistics Limited has informed the Exchange about Buyback (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.

PATINTLOG right now

P/E 10.49. Full PATINTLOG analysis →

Sources

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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.