PATINTLOG (PATINTLOG): Buyback

Strota Newsroom · session of 2026-06-26 · 25 Jun 15:58 · PATINTLOG stock page →

Patel Integrated Logistics Limited has informed the exchange regarding Board Resolution - 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 informed the exchange on 25 June that its board has approved a share buyback, according to an NSE filing. The logistics firm has made multiple similar disclosures to the exchange between 23 June and 26 June regarding the buyback resolution.

Events like this have historically shown a 57.1% win rate across 42 comparable past instances, with a net edge of 0.374%, based on Strota's base rate for buyback announcements. This represents the historical frequency of positive outcomes following such corporate actions, not a forecast for this specific stock.

The company currently trades at a price-to-earnings ratio of 11.57 and a price-to-book ratio of 0.9, with earnings per share of ₹1.38. Its market capitalisation stands at ₹111 crore, and it offers a dividend yield of 1.88%. The Nifty moved 0.83% on the session.

The data establishes that a buyback resolution has been approved and provides historical context for how similar events have performed across the market. It does not establish the size, pricing, or timeline of the buyback, nor does it indicate how this specific stock will respond.

The catalyst

Patel Integrated Logistics Limited has informed the exchange regarding Board Resolution - 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 11.57. 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.