TEAMLEASE (TEAMLEASE): Buyback

Strota Newsroom · session of 2026-07-09 · 08 Jul 16:50 · TEAMLEASE stock page →

Submission of Newspaper advertisements for dispatch of Letter of Offer with respect to Buyback of up to 14,87,500 (Fourt… Historically, buyback events have moved TEAMLEASE-type stocks in the bullish direction 57.1% of the next sessions (n=42).

TeamLease has opened a tender offer buyback of up to 14,87,500 equity shares, according to an exchange filing dated 8 July. The staffing firm submitted its Letter of Offer and placed newspaper advertisements for the dispatch, per NSE disclosures. The buyback, worth ₹238 crore at ₹1,600 per share, runs from 9 July.

Events like this have historically delivered a 57.1% win rate across 42 comparable instances, with a net edge of 0.374%, according to Strota's base rate for buyback announcements. This is a statistical summary of past market reactions to similar corporate actions, not a forecast for TeamLease specifically.

The stock trades at a price-to-earnings ratio of 409.55 and a price-to-book of 2.22, with return on equity at 14.3% and market capitalisation of ₹2,314 crore. Earnings per share stand at ₹3.37. The Nifty fell 2.12% on the session.

The filing confirms the buyback structure and timeline. It does not establish whether the offer price represents a premium to any prevailing market level, nor does it address the firm's underlying business performance beyond the disclosed financial metrics.

The catalyst

Submission of Newspaper advertisements for dispatch of Letter of Offer with respect to Buyback of up to 14,87,500 (Fourteen Lakh Eighty-Seven Thousand Five Hundred only) Equity shares of the Company (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.

TEAMLEASE right now

P/E 409.55. Full TEAMLEASE 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.