HIVE Unveils $300M Share Sale Program to Boost Financial Flexibility

TLDR

• HIVE Digital Technologies has launched an at-the-market equity program to raise up to $300 million.
• The program allows HIVE to sell shares through banks like KBW, Stifel, and Cantor Fitzgerald at market prices.
• HIVE’s new equity program provides financial flexibility and runs until the company reaches the $300 million limit.
• The company continues its expansion into AI and high-performance computing with a new data center in New Brunswick.
• HIVE’s revenue surged by 285% year-over-year, reaching $87.3 million in its most recent quarterly results.

HIVE Digital Technologies launched an at-the-market equity program on Tuesday. This move enables the company to sell up to $300 million in shares over time. It provides additional financial flexibility following the company’s record quarterly performance.

HIVE Strengthens Focus on High-Performance Computing

The new equity program allows HIVE to sell stock through banks such as KBW, Stifel, and Cantor Fitzgerald. The company can choose to sell shares at market prices without being obligated to use the facility. The program will remain active until HIVE reaches the $300 million limit or decides to close it.

HIVE’s expansion efforts continue to grow as the company invests in AI and high-performance computing. Earlier this month, HIVE acquired a 32.5-acre parcel in Grand Falls, New Brunswick. The company plans to build a renewable-powered data center campus capable of hosting over 25,000 GPUs.

Q3 Performance and Growth Drivers

In its most recent quarterly results, HIVE reported a 285% year-over-year revenue increase to $87.3 million. The company’s bitcoin production surged 77% to 717 BTC. The growth stems from HIVE’s strategy to use Bitcoin mining revenue to fund its expansion of hyperscale compute capacity.

Despite these strong quarterly results, HIVE’s stock has fallen to around $3.10. Earlier this year, it reached a three-year high above $6.60. HIVE continues to advance its strategy to transition to infrastructure for AI workloads.

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