Osisko Mining enters into a CAN$10 million ‘bought deal’ private placement
Published by Claire Cuddihy,
Assistant Editor
Global Mining Review,
Osisko Mining Inc. (Osisko) has entered into an agreement with syndicate of underwriters led by Canaccord Genuity Corp. (the Underwriter) in connection with a ‘bought deal’ private placement financing (the Common Share Offering) of an aggregate of 3.175 million common shares (the Common Shares) of the Corporation at a price of CAN$3.15 for aggregate gross proceeds of CAN$10 001 250.
The Common Share Offering is in addition to the CAN$30 million offering of flow-through shares (the Flow-Through Offering) announced by the Corporation on 10 July.
The gross proceeds from the issue and sale of the Common Shares will be used by the Corporation for general working capital purposes.
The Common Share Offering is expected to close on or about 8 August 2019, contemporaneously with the Flow-Through Offering. Closing is subject to certain conditions including, but not limited to, the receipt of all necessary approvals including the approval of the Toronto Stock Exchange and the applicable securities regulatory authorities. The Common Shares to be issued under the Common Share Offering will be subject to a hold period in Canada expiring four months and one day from the closing date of the Common Share Offering.
The securities offered have not been registered under the US Securities Act of 1933, as amended, and may not be offered or sold in the United States absent registration or an applicable exemption from the registration requirements.
This press release shall not constitute an offer to sell or the solicitation of an offer to buy nor shall there be any sale of the securities in any State in which such offer, solicitation or sale would be unlawful.
Read the article online at: https://www.globalminingreview.com/finance-business/11072019/osisko-mining-enters-into-a-can10-million-bought-deal-private-placement/
You might also like
Taking Control With Artificial Intelligence
Jürgen Kern, Mario Gerards, and Michael Panholzer, ANDRITZ, examine how adopting AI-based control systems in the filtration process can result in higher reliability and lower operating costs.