Major Crypto Miners Face Revenue Halving as MARA and CleanSpark Navigate AI Transition

Stock News14:35

The Bitcoin mining sector is undergoing a deep structural transformation, with financial results from industry leaders MARA Holdings (MARA.US) and CleanSpark (CLSK.US) highlighting the painful transition from traditional mining models under the wave of artificial intelligence. Despite both companies aggressively pursuing diversification into high-performance computing (HPC) businesses, double-digit quarterly revenue declines and shrinking cryptocurrency holdings on their balance sheets are putting significant pressure on profit margins.

MARA Holdings (MARA.US) reported notable financial volatility for the second quarter of 2026, with revenue of $174.9 million, a sharp decline from $238.5 million in the same period last year. The deeper profit erosion stemmed from wild swings in digital assets, as the company recorded a massive $343 million fair value loss. This impairment directly widened the quarterly net loss to $611.3 million, a stark contrast to the net income of $808.2 million reported a year earlier.

On the operational front, MARA Holdings (MARA.US) mined 2,422 Bitcoin during the quarter, with an average selling price of $73,078 per coin. While its hash rate grew 22% year-over-year to 70.3 EH/s, operational efficiency failed to improve. The cost per petahash per day actually rose 4% to $27.7. In terms of reserves, MARA Holdings (MARA.US) held 35,577 Bitcoin, a 29% decrease from previous levels, but still valued at approximately $2.1 billion, making it the fourth-largest corporate Bitcoin holder globally. This high-volatility asset structure severely tests miners' resilience in traditional mining, especially when hash rate gains fail to offset rising operational costs, amplifying the profit-and-loss statement's sensitivity to Bitcoin price fluctuations.

CleanSpark (CLSK.US) also faced revenue contraction in its fiscal third quarter ending June 30, with revenue of $138 million, down from $198.6 million in the same period a year earlier. The financial statements revealed a $116.3 million fair value loss on its Bitcoin holdings, leading to an overall net loss of $239.8 million. Despite holding 13,924 Bitcoin, ranking 11th globally, CleanSpark (CLSK.US) has shifted its strategic focus toward long-term value extraction from physical infrastructure. The company boasts over 1.8 gigawatts of contracted power, land, and data center resources. As of June 30, its consolidated balance sheet showed cash reserves of $202.6 million, total assets of $2.7 billion, and ample working capital of $761 million. Management emphasizes that converting grid assets into stable income streams, such as the 20-year, $6.6 billion lease agreement in Sandersville, is a key strategy to smooth out digital asset market volatility.

Meanwhile, MARA Holdings (MARA.US) is also accelerating its infrastructure buildout, aiming to complete the acquisition of the Long Ridge facility to expand HPC capacity at the Hannibal campus and purchasing land in Matagorda County, Texas, to add 2 gigawatts of capacity, bringing total potential capacity to 4.8 gigawatts. Through initiatives like the partnership with Exaion, MARA (MARA.US) seeks to embed itself deeper into multiple segments of the digital infrastructure value chain, diversifying revenue sources to offset the cyclical risks of a single mining business.

Capital markets remain cautious about the transition progress of both companies. Following the earnings release, MARA Holdings (MARA.US) shares fell over 5% to close at $10.67, while CleanSpark (CLSK.US) shares dropped more than 6%, closing at $12.69. The downward pressure reflects investor skepticism regarding the trade-off between short-term earnings deterioration and long-term transformation uncertainty. For MARA Holdings (MARA.US), a key variable for future development is regulatory approval, specifically whether the U.S. Federal Energy Regulatory Commission will grant final authorization for its Long Ridge facility acquisition. This decision will directly determine the speed at which its HPC capacity expansion can be executed.

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