HUT Stock Forecast & Price Target

Hut 8 is fundamentally attractive because it combines power infrastructure, digital infrastructure, and compute under one platform, with over 1 GW of energy capacity under management and a multi-gigawatt development pipeline that gives it meaningful operating scale and optionality. Its revenue engine is being re-anchored by high-quality contracted compute assets, including River Bend’s 245 IT MW under a 15-year, $7.0b lease with Fluidstack backstopped by Google and Beacon Point’s 352 IT MW lease to an investment-grade tenant, while the exercise of the remaining Beacon Point capacity and the 1,000 MW already secured under the AEP Texas interconnection agreement reduce power-availability risk and improve execution visibility. The company also retains upside from Bitcoin mining through American Bitcoin Corp.’s ~90,000 ASIC servers and a significant Bitcoin reserve, and the ability to tap debt above expected capex for future buildouts supports growth, though the outlook remains tempered by the cited risks of Bitcoin volatility, electricity costs, and construction or regulatory delays.

Hut 8 is facing a fundamentally weaker outlook because it has already secured financing for River Bend 1 and Beacon Point 1 at roughly $7.5B and has begun expensing interest on that debt, creating a near-term drag that is now flowing through its results. The company’s own earnings revisions underscore the pressure, with 2026E / 2027E estimates cut from ($3.35) / ($0.17) to ($4.58) / ($2.27) on the combination of project-level financing costs and a lower BTC price, highlighting that its highly leveraged growth strategy is not yet translating into profitability. Although the Compute segment remains the largest revenue driver across Bitcoin mining, GPU-as-a-Service, and data center cloud operations, the business remains exposed to volatile bitcoin pricing, regulatory and legal risks, and security and custody risks tied to significant Bitcoin reserves, while the need to keep converting power-advantaged sites into investment-grade AI leases adds execution risk rather than reducing it.