ORBTEXP (ORBTEXP): Buyback

Strota Newsroom · session of 2026-07-10 · 09 Jul 17:34 · ORBTEXP stock page →

Orbit Exports Limited has informed the Exchange about public Announcement - Buyback of Shares Historically, buyback events have moved ORBTEXP-type stocks in the bullish direction 57.1% of the next sessions (n=42).

Orbit Exports Limited has informed the Exchange about a public announcement for a buyback of shares, with the record date set for 15-July-2026 according to NSE filings dated 7-10 July 2026. The company, which has a market capitalisation of ₹614 crore, disclosed the buyback plan through multiple exchange intimation filings this week.

Events like this have historically shown a 57.1% win rate across 42 comparable past instances in Strota's data, with a net edge of 0.374%. This base rate reflects how similar buyback announcements have performed on average across many stocks, not a forecast for Orbit Exports specifically.

The stock currently trades at a price-to-earnings ratio of 18.86 and a price-to-book ratio of 2.03, with return on equity at 11.2% and earnings per share of ₹12.29. An institutional deal on 23-June-2026 saw Parshva Kumar Daga acquire shares worth ₹6.09 crore on the buy side. The Nifty declined 2.12% as of the filing date.

The data establishes that a buyback has been announced with a record date fixed, and shows historical patterns for this event type. It does not establish the buyback price, size, or whether the company will complete the programme as proposed.

The catalyst

Orbit Exports Limited has informed the Exchange about public Announcement - Buyback of Shares (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.

ORBTEXP right now

P/E 18.86. Full ORBTEXP 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.