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Alm. Brand — Investor Relations & Filings

Ticker · ALMB ISIN · DK0015250344 LEI · 549300H4TGLJVZ6VTA48 CO Financial and insurance activities
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Filings indexed 2,963 across all filing types
Latest filing 2025-04-28 Transaction in Own Shar…
Country DK Denmark
Listing CO ALMB

About Alm. Brand

https://www.almbrand.dk/english/

Alm. Brand is a financial services group specializing in insurance and pension solutions. The company's core activities encompass non-life insurance for private individuals, commercial enterprises, and agricultural clients, as well as life insurance and pension products. As a prominent non-life insurer, the group serves a substantial customer base, operating through a portfolio of distinct brands to provide tailored coverage and financial planning services to various market segments.

Recent filings

Filing Released Lang Actions
Transaction in Own Shares 2025
Transaction in Own Shares Classification · 100% confidence The document is titled "Selskabsmeddelelse nr. 32/2025" (Company Announcement) and specifically details "Aktietilbagekøbsprogram" (Share Buyback Program) transactions conducted between April 22 and April 25, 2025. This content directly relates to the company purchasing its own shares. According to the definitions, 'Transaction in Own Shares' (Code: POS) covers reports of the company buying back or selling its own shares. The document is a specific announcement detailing these transactions, not a general regulatory filing (RNS) or a report on management changes (MANG).
2025-04-28 Danish
Transaction in Own Shares 2025
Transaction in Own Shares Classification · 100% confidence The document is titled "Alm. Brand A/S - Ugentlig rapportering om aktietilbagekøb" (Weekly reporting on share buybacks) and details transactions conducted under an existing share buyback program for a specific week (April 22-25, 2025). This content directly relates to the company repurchasing its own shares. According to the definitions, 'Transaction in Own Shares (Code: POS)' covers reports of the company buying back or selling its own shares. Although it is a weekly report, the core subject matter aligns perfectly with POS, rather than a general regulatory filing (RNS) or a capital change announcement (SHA). The document length is short (2152 chars), but it contains the full data, making it the report itself, not just an announcement of a report.
2025-04-28 Danish
Transaction in Own Shares 2025
Transaction in Own Shares Classification · 100% confidence The document is titled 'Alm. Brand A/S share buy-back program' and details specific transactions (number of shares bought, average price, total amount) conducted under a previously announced share buy-back program between April 22 and April 25, 2025. This directly relates to the company acquiring its own shares. According to the definitions, 'Transaction in Own Shares (Code: POS)' covers 'Report of the company buying back or selling its own shares (share repurchase/issuance)'. The document is a specific report detailing these transactions, not just an announcement of a report's publication.
2025-04-28 English
Regulatory Filings 2025
Regulatory Filings Classification · 95% confidence The document text consists almost entirely of tabular data showing 'Volume', 'Price', 'Venue' (XCSE, indicating a stock exchange), and 'Time - CET'. This structure strongly suggests a record of trading activity or market data, which is not explicitly covered by the provided definitions for standard corporate filings (like 10-K, ER, IR, etc.). The data points look like transaction reports or market feed snapshots. Since there is no clear indication of a formal regulatory report (like an earnings release, annual report, or management discussion), and the content is purely transactional/market-related, the most appropriate fallback category is 'Regulatory Filings' (RNS) as a general catch-all for non-standard regulatory disclosures, although it is a weak fit. Given the context of financial reporting databases, this data might be related to insider trading (DIRS) or major shareholding changes (MRQ), but the format is too generic (just trade ticks) to confirm that without context. Therefore, RNS is the safest general classification for unstructured market data that doesn't fit the specific report types.
2025-04-28 English
Transaction in Own Shares 2025
Transaction in Own Shares Classification · 100% confidence The document is explicitly titled "Alm. Brand A/S – Weekly report on share buybacks" and details transactions made under a previously announced share buy-back program for a specific weekly period (April 22, 2025 – April 25, 2025). This content directly relates to the company repurchasing its own shares. According to the definitions, the category for reporting the company buying back or selling its own shares is 'Transaction in Own Shares' (POS). The document length is short (2163 chars) and it contains attachments, but the core content is the transaction data itself, making POS a more specific fit than RPA or RNS.
2025-04-28 English
Regulatory Filings 2025
Regulatory Filings Classification · 95% confidence The document text consists almost entirely of tabular data showing 'Volume', 'Price', 'Venue' (XCSE, indicating a stock exchange), and 'Time - CET'. This structure strongly suggests a record of trading activity or market data, which is not explicitly covered by the provided definitions for standard corporate filings (like 10-K, ER, IR, etc.). The data points look like transaction reports or market feed snapshots. Since there is no clear indication of a formal regulatory report (like an earnings release, annual report, or management discussion), and the content is purely transactional/market-related, the most appropriate fallback category is 'Regulatory Filings' (RNS) as a general catch-all for non-standard regulatory disclosures, although it is a weak fit. Given the context of financial reporting databases, this data might be related to insider trading (DIRS) or major shareholding changes (MRQ), but the format is too generic (just trade ticks) to confirm that without context. Therefore, RNS is the safest general classification for unstructured market data that doesn't fit the specific report types.
2025-04-28 English

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