Strota/ Newsroom/ 2026-09-03

MANINFRA (MANINFRA): Buyback

Strota Newsroom · session of 2026-09-03 · 03 Sep 12:15 · MANINFRA stock page →

Man Infraconstruction Limited has informed the Exchange about Copy of Newspaper Publication of Public announcement perta… Historically, buyback events have moved MANINFRA-type stocks in the bullish direction 57.1% of the next sessions (n=42).

Man Infraconstruction told the exchange on September 3 about a buyback of its equity shares, with newspaper-publication and board-resolution filings dated September 2 and 3 confirming the plan.

Strota's own historical base rate for buyback events across many past stocks shows such events have historically produced a win rate of 57.1% across 42 instances, with a small average edge of 0.374%. That is a base rate for the event type, not a forecast for this stock.

This stock's footprint: Man Infraconstruction trades on a price-to-earnings multiple of 23.51 and price-to-book of 2.22, with earnings per share of 5.3, a market capitalisation of 5029.0 crore and a dividend yield of 1.3%. The filing sits alongside earlier August partnership news, an interest in MICL Properties LLP. The broader market was soft, with the Nifty down 0.17%.

The data does not establish that the buyback will lift the price; what it shows is a company returning capital via a board-approved buyback, an event that has historically been mildly positive more often than not.

The catalyst

Man Infraconstruction Limited has informed the Exchange about Copy of Newspaper Publication of Public announcement pertaining to 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.

MANINFRA right now

P/E 23.51. Full MANINFRA 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.