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Global Market Insights

fuboTV Stock Falls 3.3% to $10.09 on May 31 Amid Short Squeeze

June 1, 2026
02:31 AM
3 min read

Key Points

fuboTV fell 3.3% to $10.09 on May 31 amid extreme short interest.

Short interest reached 95.96% of public float, up 9.61% month-over-month.

Company beat Q4 earnings but revenue missed analyst estimates slightly.

Meyka rates stock C with Sell recommendation due to negative cash flow.

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FUBO shares fell 3.3% to $10.09 on May 31, extending a steep six-month decline of 72.3%. The streaming platform’s stock is weighed down by extreme short interest at 95.96% of the public float and persistent negative cash flow. Meyka rates the stock a C with a Sell recommendation, citing weak fundamentals across profitability and return metrics.

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Short Interest Reaches Extreme Levels

As of May 15, 2026, fuboTV had 7.26 million shares sold short, representing 95.96% of the public float. This marked a 9.61% increase from the prior month. The short interest ratio stands at 4.2 days to cover, meaning it would take 4.2 days of average trading volume to close all short positions.

Trading volume surged 141% above average on May 31, with 1.94 million shares changing hands. This elevated activity reflects ongoing pressure from short sellers and retail investors navigating the heavily shorted stock.

Earnings Beat Fails to Lift Stock

fuboTV released Q4 2025 earnings on May 6, 2026, reporting earnings per share of negative $0.07, beating the consensus estimate of negative $0.35 by $0.28. Quarterly revenue rose 278.1% year-over-year to $1.57 billion, though it fell short of analyst estimates of $1.58 billion.

Analysts expect earnings to swing to positive $1.45 per share next year from negative $0.29 this year. However, the earnings beat has not reversed the stock’s downward momentum, as investors focus on cash flow weakness.

Meyka Rating Signals Fundamental Weakness

Meyka assigns fuboTV a C grade with a Sell recommendation based on poor fundamentals. The stock trades at a price-to-sales ratio of 0.29, appearing cheap, but this masks deeper problems. Operating cash flow per share stands at negative $14.77, and free cash flow per share is negative $14.80.

With Meyka rating the stock a C and analysts holding a consensus Buy rating, the data points to conflicting signals. However, the company’s negative cash generation and weak profitability metrics align with Meyka’s cautious stance.

Technical Indicators Show Mixed Signals

The RSI sits at 49.42, indicating neutral momentum with no clear trend. The Commodity Channel Index reads 111.18, suggesting overbought conditions despite the stock’s decline. The MACD histogram is negative at negative 0.03, confirming downward pressure.

Bollinger Bands place the stock near the middle band at $10.31, with support at $7.83 and resistance at $12.79. The stock remains 82.2% below its 52-week high of $56.64 and only 21.4% above its 52-week low of $8.31.

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Final Thoughts

fuboTV’s 3.3% drop reflects ongoing short pressure and weak cash flow despite a recent earnings beat. With Meyka rating the stock a C and free cash flow deeply negative, downside risks remain significant for retail investors.

FAQs

Why did fuboTV stock fall 3.3% on May 31?

Extreme short interest at 95.96% of float and elevated trading volume from short sellers created significant downward pressure on the stock.

Did fuboTV beat earnings expectations?

Yes, EPS of negative $0.07 beat consensus of negative $0.35, though revenue of $1.57 billion slightly missed the $1.58 billion estimate.

What is Meyka’s rating for fuboTV stock?

Meyka rates FUBO a C grade with a Sell recommendation due to weak profitability and negative free cash flow of $14.80 per share.

Disclaimer:

The content shared by Meyka AI PTY LTD is solely for research and informational purposes.  Meyka is not a financial advisory service, and the information provided should not be considered investment or trading advice.

About Author

Author

Huzaifa Zahoor

Co Founder

Huzaifa Zahoor is the engineer who built Meyka. He has spent years writing Python, training AI models, and building data pipelines specifically for financial markets. His technical articles have reached over 30,000 readers on Medium, so he knows how to make complex things easy to follow. If this article touches on how the tools work, he is the person who actually built them.

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