CleanSpark Reports $766.3 Million Revenue and $1.25 EPS in Q4 2025, Exceeding Analyst Estimates
CleanSpark (CLSK.US) announced its financial results for the fiscal year ended September 30, 2025, reporting a significant increase in revenue and a strong net income. The company posted revenues of $766.3 million, marking a substantial increase of 102.2% compared to the prior fiscal year. Net income for the year reached $364.5 million, translating to $1.25 per basic share, a considerable improvement from a net loss of ($145.8) million, or ($0.69) per basic share, in the previous year. This performance significantly surpassed the analyst EPS estimate of $0.06.
Strong Adjusted EBITDA Growth
CleanSpark's Adjusted EBITDA saw substantial growth, increasing to $823.4 million from $245.8 million in the prior fiscal year. This 234.9% year-over-year increase highlights the company's improved operational efficiency and profitability. Management emphasized that this growth reflects the company achieving operating leverage during the fiscal year.
Strategic Expansion and Capital Stewardship
The company achieved a significant milestone by surpassing 50 EH/s in operational hashrate and strategically managed its capital by utilizing accretive tools like convertible debt and bitcoin-backed revolvers. CleanSpark also announced a recent landmark $1.15 billion 0% convertible transaction, which is expected to accelerate the expansion of its power and land portfolio. These actions position CleanSpark to evolve into a comprehensive compute platform for both AI and bitcoin workloads.
Management Outlook on Future Growth
Management expressed confidence in the company's strategic direction, noting that 43% growth in contracted power sets the stage for AI expansion. CleanSpark is actively transforming into a comprehensive compute platform, leveraging its expertise in power procurement and infrastructure development to meet the surging global demand for compute. The company aims to replicate its market leadership in bitcoin mining across a broader range of compute capabilities, including AI infrastructure.