CleanSpark, Inc.

Fundamentals3.0
Price Action6.0
News Sentiment5.0
AI Rating
4.0

Key Drivers

  • Quarterly Losses
  • Negative Cash Flow
  • Rising Leverage

AI
AI Summary

4.0

CLSK is a leveraged transition bet: Sandersville's 175 MW, 20-year AI/HPC lease could re-rate the company from a volatile Bitcoin miner to contracted digital infrastructure, but with revenue not starting until Q4 2027, investors should demand proof of financing, on-time construction, and sufficient liquidity to avoid dilution before assigning full value to the $6.6B headline contract.

AIInfrastructure
ExecutionRisk
BitcoinMining‍

Price Chart

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Financial Metrics

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Revenue (TTM)
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Net Income (TTM)
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EPS (Q)
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MCAP

Deep Analysis

Research tool. Not personalized advice.

Fundamental Analysis

3.0

Key Financial Insights:

  • •Quarterly Losses
  • •Negative Cash Flow
  • •Rising Leverage

CLSK's strong annual profitability has reversed into steep quarterly losses, persistent cash burn, and rising leverage, making a return to sustainable earnings and free cash flow critical before investment consideration.

ProfitabilityRisk
LiquidityStrength

Price Behavior

6.0
Research tool. Not personalized advice. Technical analysis is for informational purposes only.

Key Price Behavior Insights:

  • •Strong recovery
  • •Key resistance
  • •Elevated volatility

CLSK's last-month rally remains bullish above $13.25–$13.35 support, but near-$14.47 resistance and an RSI near 69 suggest elevated pullback risk.

Bullish
Volatile
Support Level: $13.25–$13.35
Resistance Level: $14.47

Sharp rebound from the $11.06 low indicates high short-term volatility

Sentiment & News

5.0

Key News Insights:

  • •AI Revenue Delay
  • •Mining Revenue Decline
  • •Major Debt Funding

CleanSpark's AI infrastructure pivot offers major long-term upside but faces delayed revenue, weakening Bitcoin mining performance, and significant financing/execution risk.

AIInfrastructure
FundingRisk

The stock is likely to remain volatile as investors weigh AI lease potential against near-term capital needs and execution uncertainty