Iris Energy (US:IREN)2025-08-28 22:02Financial Data and Key Metrics Changes - The company reported record revenue of $187 million for FY 2025, an increase of $42 million from the previous quarter, primarily driven by Bitcoin mining revenue of $180 million [14] - EBITDA grew tenfold year-on-year, with annualized revenue from Bitcoin mining operations exceeding $1 billion [7][32] - The company closed the financial year with approximately $565 million in cash and total assets of $2.9 billion, indicating a strong balance sheet [16] Business Line Data and Key Metrics Changes - The Bitcoin mining capacity increased to 50 exahash, with high margin revenues driving profitability, achieving an all-in cash cost of $36,000 per Bitcoin mined against an average realized price of $99,000 [15] - AI cloud revenue reached $7 million during the quarter, with over 10,000 GPUs online or being commissioned [9][10] - The company expanded its contracted grid-connected power by over a third to nearly 3 gigawatts and tripled its operating data center capacity to 810 megawatts [7] Market Data and Key Metrics Changes - The AI cloud business is experiencing rapid scaling, with significant demand for GPU resources as enterprise adoption of AI solutions accelerates [17] - The percentage of organizations leveraging AI in multiple business functions increased from 55% to 78% in the last year, highlighting the growing market demand [17] - Power availability and GPU-ready data center capacity remain scarce, with customers prioritizing speed to deploy and scalability [18] Company Strategy and Development Direction - The company is focused on scaling across the full AI infrastructure stack, from grid-connected transmission to digital compute, positioning itself to capture a broad and growing addressable market [10] - The construction of Horizon 1, a direct-to-chip liquid cooling AI data center, is underway, with plans for further expansion to support over 60,000 NVIDIA GPUs [12][23] - The company aims to maintain a CapEx efficient growth strategy, securing GPU financing at single-digit rates to fund expansion [21][35] Management's Comments on Operating Environment and Future Outlook - Management expressed optimism about the AI cloud market, noting that demand is accelerating faster than supply, with significant infrastructure constraints [17][18] - The company is well-positioned to meet market demand due to its vertical integration and control over key bottlenecks in the supply chain [18] - Future growth is expected to be driven by the AI cloud business, with projections of billions in annualized revenue from this segment alone [11] Other Important Information - The company has transitioned to a US domestic issuer status and is now reporting under US GAAP and SEC regulations [14] - The company is advancing multiple data center projects to drive revenue growth and future expansion [11][27] Q&A Session Summary Question: Efficiency at sites and backup generation - The company operates at a PUE of 1.1 in British Columbia, with expectations to maintain competitive efficiency levels across its sites [40] - Redundancy is being introduced across the GPU fleet to enhance customer service, driven by customer demand [42] Question: Contract duration for cloud business - The company has a range of contract lengths from one month to three years, with newer equipment often seeing longer-term contracts [50] Question: Strategic thinking on Horizon projects - Horizon 1 is engineered specifically for liquid-cooled GPUs, with flexibility to accommodate various GPU densities [60] - The company is exploring both cloud and colocation opportunities to maximize risk-adjusted returns [106] Question: Financing for Blackwell GPUs - The company is utilizing various leasing structures for GPU financing, allowing flexibility in equipment ownership at the end of lease terms [72] Question: Key hires and sales strategy - The company is actively hiring across various functions to support cloud and colocation businesses, focusing on expanding its go-to-market capabilities [83] - The company is leveraging its unique competitive advantages, including end-to-end infrastructure control, to attract AI clients [89]