Strota/ Newsroom/ 2026-07-02

PATINTLOG (PATINTLOG): Buyback

Strota Newsroom · session of 2026-07-02 · 02 Jul 19:57 · 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 of equity shares, according to an NSE filing dated 2 July 2026. The company has filed multiple addenda and corrigenda to the public announcement in recent days, with the board having passed a resolution for the buyback on 26 June 2026.

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 announcements. These figures represent historical outcomes for this event type across many past stocks, not a forecast for this specific company.

The stock currently trades at a price-to-earnings ratio of 11.01 and a price-to-book ratio of 0.85, with earnings per share of ₹1.38. Market capitalisation stands at ₹106 crore, and the dividend yield is 1.97%. The Nifty moved 0.71% on the session.

The filing confirms the buyback process is underway, including amendments to pricing and quantity as reported in external headlines. What the data establishes is the historical frequency of positive returns following buyback announcements; what it does not establish is whether this specific buyback will follow that pattern, or whether current valuation levels already reflect the announced programme.

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 11.01. 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.