TotalEnergies repurchases 806,919 shares for €63 million in September
- TotalEnergies SE repurchased 806,919 shares for €62,999,702.34 between Sept 7-11, 2026
- The weighted average purchase price was €78.07 per share on the Paris Euronext (XPAR)
- Transactions followed shareholder authorization granted at the May 29, 2026 general meeting
- Daily buybacks ranged from €11.99 million to €14.99 million over the five-day period

*this image is generated using AI for illustrative purposes only.
TotalEnergies SE disclosed the repurchase of 806,919 of its own shares for a total value of €62,999,702.34. The transactions took place between September 7 and September 11, 2026, on the Paris Euronext market.
The buyback was executed in accordance with authorizations granted by the shareholders’ general meeting on May 29, 2026. The company complied with applicable laws regarding share repurchases during this period.
Transaction Details
The weighted average purchase price across the five-day period was €78.074382 per share. Daily transaction volumes ranged from approximately 152,000 to 194,000 shares.
| Date | Shares Purchased | Avg Price (EUR) | Amount (EUR) |
|---|---|---|---|
| September 7, 2026 | 194,192 | 77.242852 | 14,999,943.92 |
| September 8, 2026 | 154,296 | 77.772173 | 11,999,935.21 |
| September 9, 2026 | 152,784 | 78.541900 | 11,999,945.65 |
| September 10, 2026 | 152,625 | 78.623682 | 11,999,939.47 |
| September 11, 2026 | 153,022 | 78.419692 | 11,999,938.11 |
| Total | 806,919 | 78.074382 | 62,999,702.34 |
All transactions were conducted on the XPAR market. The daily amounts were capped near €12 million, with the exception of the first day, which saw a higher volume of nearly €15 million.
How does this recent buyback execution compare to TotalEnergies' total authorized share repurchase budget for 2026?
What impact might this capital return strategy have on TotalEnergies' upcoming dividend payout ratio or future investment in renewable energy projects?
Will the consistent daily trading volume near the €12 million cap suggest an algorithmic approach to minimizing market impact, and how might this influence short-term stock volatility?

































