MARA Q1 losses expected as Bitcoin falls 25% and AI push ramps
MARA is scheduled to report Q1 earnings after the market close on May 11. Analysts expect MARA Q1 losses as the quarter’s Bitcoin drop of about 25% (around $87,000 to $67,000) drives large mark-to-market losses on its digital asset holdings.
Wall Street is looking for revenue of about $184.21 million and EPS losses around $2.34. While the immediate fiscal impact is tied to Bitcoin volatility, investor focus is shifting toward MARA’s longer-term strategy: transforming from a pure bitcoin miner into an AI and high performance computing infrastructure provider.
A key catalyst is MARA’s AI transition plan via the proposed $1.5 billion sale of Long Ridge Energy by FTAI Infrastructure. The deal is expected to improve MARA’s access to long-term power generation and support more stable cash flows from AI and data center contracts, potentially reducing reliance on cyclical mining economics.
In addition, MARA sold 15,133 BTC (about $1.1 billion) in Q1, using proceeds to repurchase $1.0 billion of convertible notes—aimed at strengthening liquidity while funding the AI expansion. Broader peers are making similar moves, including IREN’s NVIDIA-related AI cloud expansion and HIVE’s additional AI infrastructure investment.
MARA shares were up about 1% pre-market to $13. Despite the expected MARA Q1 losses, the market may weigh whether AI-linked revenue can offset near-term Bitcoin-driven drawdowns.
Neutral
Expected near-term downside is clear: MARA Q1 losses are tied directly to Bitcoin’s ~25% decline and the resulting mark-to-market hit. That tends to pressure miners’ equity valuations during volatile BTC drawdowns.
However, the article highlights a potential offset: MARA is actively repositioning toward AI/HPC infrastructure and aiming for steadier power- and contract-driven revenue. Similar “miners to AI/data center” pivots have historically helped sentiment after initial profit warnings—often when investors believe the balance-sheet/liquidity plan plus contract visibility can reduce dependence on network difficulty, fees, and BTC price.
For traders, this can create a two-stage reaction: (1) earnings day risk for MARA and sector peers if losses confirm investor fears linked to BTC moves; (2) medium-term repricing if deal milestones and AI power capacity translate into credible revenue guidance. BTC direction will likely remain the dominant short-term volatility driver, while AI-transition headlines may support longer-term multiple stabilization.