Upstart Stock Plunges 15.31% as Q4 Revenue Guidance Cut, Operational Hurdles Weigh

Generated by AI AgentMover TrackerReviewed byAInvest News Editorial Team
Thursday, Nov 6, 2025 11:04 am ET1min read
Aime RobotAime Summary

- Upstart's stock plunged 15.31% as Q4 revenue guidance fell below expectations to $288 million, signaling growth concerns.

- Despite strong EPS, Q3 revenue missed targets and AI-driven credit tightening reduced loan originations by $400 million.

- Insider selling of $858K and weak valuation metrics (P/S 5.22, D/E 2.04) highlight internal doubts and structural risks.

- Macroeconomic headwinds, rising rates, and AI lending competition intensify pressure on Upstart's business model.

- Analysts urge algorithm refinements, clearer guidance, and financial discipline to restore investor confidence.

The share price fell to its lowest level since April 2025 today, with an intraday decline of 15.31%.

Upstart’s stock has slumped amid a confluence of weak financial results, revised guidance, and operational challenges. The company reported Q3 earnings per share of $0.52, exceeding estimates, but revenue of $277.1 million missed the $280.6 million target. A sharper blow came with Q4 revenue guidance slashed to $288 million, below the $306.6 million consensus. This downward revision, coupled with a 13.2% post-earnings drop, underscored investor concerns over growth sustainability. Meanwhile, the AI-driven lending model, which tightened credit standards in Q3, reduced loan originations to $2.9 billion—falling short of $3.3 billion expectations—and sparked skepticism about its adaptability. Insider selling of $858,074.76 over three months further fueled doubts about internal confidence.


Valuation metrics highlight structural risks. A price-to-sales ratio of 5.22 and a debt-to-equity ratio of 2.04 suggest a premium for uncertain growth, while trailing twelve months’ net income remains negative at -$0.08 per share. The stock’s beta of 3.57 and a 50-day moving average above current prices indicate heightened volatility and bearish momentum. As a credit services provider,

faces macroeconomic headwinds, including rising interest rates and tighter credit conditions, which could further suppress demand. Competitors in AI lending also pose a threat, intensifying pressure to differentiate its model. For recovery, analysts stress the need for clearer guidance, algorithmic refinements, and stronger financial discipline to rebuild investor trust.


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