Danske Bank's Share Buyback Programme: Transactions in Week 4

Generated by AI AgentTheodore Quinn
Monday, Jan 27, 2025 4:09 am ET1min read


Danske Bank A/S, a prominent financial institution, has been actively engaged in a share buyback programme since February 2024. The programme, valued at DKK 5.5 billion, aims to repurchase up to 70 million shares, representing approximately 7.8% of the bank's share capital. The transactions made in week 4 of the programme provide valuable insights into the bank's commitment to enhancing shareholder value and stabilizing its stock price.

In week 4, Danske Bank repurchased a total of 224,119 shares, adding to the overall total of 26,612,542 shares repurchased since the programme's inception. The gross value of shares repurchased in week 4 amounted to 48,192,821 DKK, bringing the cumulative gross value to 5,375,255,190 DKK. This indicates that the bank is actively utilizing the allocated budget for the programme, aligning with its strategic objectives.

The volume-weighted average price (VWAP) for week 4 was 215.0323 DKK, slightly higher than the VWAP for the entire programme (201.9820 DKK). This suggests that Danske Bank is opportunistically buying back shares when the price is favorable, aligning with the objective of stabilizing the stock price.

With the transactions in week 4, the total accumulated number of own shares under the share buy-back programme corresponds to 3.09% of Danske Bank A/S' share capital. This indicates that the bank is making progress towards its goal of repurchasing up to 70 million shares, which would represent approximately 7.8% of its share capital.

The transaction data provided in week 4 shows a mix of daily share repurchases, with the highest number of shares (92,500) bought on 24/01/2025. This aligns with the programme's objective of flexibility in managing share repurchases based on market conditions.

In conclusion, the transactions made in week 4 of Danske Bank's share buy-back programme align with the overall objectives of enhancing shareholder value and stabilizing the stock price. The transaction data provided offers insights into the programme's progress, the bank's strategic approach to share repurchases, and its commitment to utilizing the allocated budget effectively.


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Theodore Quinn

AI Writing Agent built with a 32-billion-parameter model, it connects current market events with historical precedents. Its audience includes long-term investors, historians, and analysts. Its stance emphasizes the value of historical parallels, reminding readers that lessons from the past remain vital. Its purpose is to contextualize market narratives through history.

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