Can CleanSpark's Data Center Push Unlock New AI Revenue Streams?
CleanSparkCleanSpark(US:CLSK) ZACKS·2025-11-19 14:15

Core Insights - CleanSpark, Inc. (CLSK) is transitioning from a Bitcoin mining company to a diversified digital infrastructure firm, focusing on data center solutions for artificial intelligence (AI) and high-performance computing (HPC) [1][11] Business Transformation - CleanSpark is leveraging its existing assets, including over 1.3 gigawatts (GW) of power and land across multiple U.S. states, to develop advanced data centers for the AI and HPC sectors [2] - The company is actively converting and expanding its sites for AI use, including a recent acquisition of a 271-acre site in Austin County, TX, with 285 megawatts (MW) of power for its first dedicated AI data center [3] Strategic Partnerships - In October 2025, CleanSpark formed a strategic partnership with Submer to design and construct efficient AI data centers across North America, utilizing Submer's immersion cooling technology [4] Growth Prospects - This diversification strategy positions CleanSpark to benefit from long-term growth drivers beyond the volatility of Bitcoin prices, with a projected revenue increase of 34.2% year-over-year to $1.04 billion for fiscal 2026 [5][11] Competitive Landscape - Competitors like Marathon Digital and Cipher Mining are also expanding into AI and HPC, with Marathon Digital piloting AI projects and acquiring a stake in Exaion, while Cipher Mining has secured significant lease agreements with Amazon Web Services and Fluidstack for AI computing capacity [6][7][8] Financial Performance - CleanSpark's shares have increased by 16.6% year-to-date, contrasting with a 9.7% decline in the Zacks Finance – Miscellaneous Services industry [9] - The company trades at a forward price-to-sales ratio of 3.17, slightly above the industry average of 2.95 [12] Earnings Estimates - The Zacks Consensus Estimate for CleanSpark's fiscal 2026 earnings indicates a year-over-year decrease of 43.2%, with recent downward revisions in earnings estimates [15]